DEV Community: Black Falcon Data

Trustpilot API schema: fields, filters, and what is missing

Black Falcon Data — Fri, 21 Aug 2026 23:33:10 +0000

The Trustpilot API is best evaluated through its schema. Below are all 96 fields, organized by what they describe, along with the filters that narrow a run before it costs anything.

Here is what our own Trustpilot Actor returns, what it costs, and where its coverage ends.

Every field

Each record contains 96 fields, divided into these groups:

company — companyDomain, companyName, companyTrustScore, companyStars, companyTotalReviews, companyWebsite, companyIsClaimed, companyCategories, companyCity, companyCountry, companyContactEmail, companyContactPhone, +31 more
is — isVerified, isComplaint, isFiltered, isPending, isRepost
reviewer — reviewerName, reviewerCountry, reviewerTotalReviews, reviewerIsVerified, reviewerImageUrl
review — reviewId, reviewUrl, reviewSource, reviewSourceName
reply — replyText, replyDate, replyUpdatedDate, replyDelayDays
language — language, languageDistribution
verification — verificationLevel, verificationSource
reviews — reviewsOnSameDomain, reviewsOnSameLocation
has — hasCompanyReply, hasUnhandledReports
repost — repostOfId, repostDetectedAt

These are the first fields from one row in a real dataset:

{
 "type": "review",
 "reviewId": "6a8b92e1f308e437698f500f",
 "reviewUrl": "https://www.trustpilot.com/reviews/6a8b92e1f308e437698f500f",
 "companyDomain": "booking.com",
 "companyName": "Booking.com",
 "rating": 1,
 "title": "Leaving people stranded in airports is...",
 "text": "Leaving people stranded in airports is atrocious. ",
 "contentHash": "47a65723c28306618b3373155d889d04c9b1b73f7c9581b1c6a2a48fcdc9c32c",
 "language": "en",
 "reviewSource": "Organic",
 "likes": 1,
 "publishedDate": "2026-08-24T02:40:01.000Z",
 "experiencedDate": "2026-08-05T00:00:00.000Z"
}

Filters that narrow a run

The input accepts 51 options, including mode, companyDomain, companyDomains, companyName, startUrls, searchQuery, searchCountry, searchMaxPages, categoryUrl, maxResults, stars, languages, date, lookbackDays, topics, verified, withReplies, sort, countryOfReviewer, search, and more.

These filters run server-side. You pay for the records you requested instead of producing a larger dataset and filtering it afterwards.

What it costs

Pricing is per event, with no subscription:

$0.005 per actor start
$0.00025 per result

Here is a measured run, not an estimate:

25 records in 2.9 seconds
cost: $0.00035 — about $0.01 per 1,000 records

What people use it for

Reputation monitoring. Ratings and review text reveal movement over time that a single page view cannot show.
Lead lists. Company-level fields let you isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new records instead of re-reading everything.
Geographic analysis. Location fields allow market-by-market comparisons without another data source.

The honest caveats

An empty field means the source showed nothing. Values are never inferred or filled in from elsewhere.
The schema follows Trustpilot's markup. A redesign can add, rename or drop fields.
Anything Trustpilot puts behind a login is absent from every field below, by design.

Coverage and behavior

Not every field is populated. Fields are not guessed: when the source leaves one blank, it comes back blank. An empty value therefore means Trustpilot did not show one, not that extraction failed.

For market-specific runs, searchCountry narrows the request before any records are produced. You pay for the market you requested instead of filtering the results afterwards.

The source-level filters include searchMaxPages, categoryUrl, maxResults, and date. This affects cost as well as convenience. Filtered-out records are never produced, so they are never billed.

Every run reads Trustpilot when it runs, with no cached copy in between. Two runs a week apart provide two snapshots, enabling change detection.

To fetch only recent changes, use lookbackDays. Without it, a re-run returns the full set again, leaving deduplication to your side.

There is no public bulk export or API. The field list above comes from parsing pages rather than a documented schema.

Try it

If these fields match your requirements, the Trustpilot API, maintained against the live site produces them. New accounts get $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Autoscout24 API schema: fields, filters, and what is missing

Black Falcon Data — Fri, 21 Aug 2026 23:28:05 +0000

An Autoscout24 record contains 74 fields. This page shows which are populated, which are optional, and what a real row looks like—the data the Autoscout24 API has to work with.

It also covers what our own Autoscout24 Actor returns, what it costs, and where its limits are.

Every field

Each record includes 74 fields, organized into several groups:

seller — sellerType, sellerName, sellerContact, sellerPhone, sellerRatingStars, sellerRatingCount
price — price, priceFormatted, priceEur, priceNegotiable, priceEvaluation
model — model, modelGroup, modelVersion, modelCode
description — description, descriptionHtml, descriptionMarkdown
body — bodyType, bodyColor
fuel — fuelType, fuelConsumption
power — powerKw, powerHp
number — numberOfSeats, numberOfDoors
country — country, countryVersion
emission — emissionClass, emissionSticker
upholstery — upholstery, upholsteryColor
repost — repostOfId, repostDetectedAt

Here is a record as returned, shortened for readability:

{
 "listingId": "7e13eedf-d415-4e9d-b20f-2590b1263ae3",
 "title": "Volkswagen Passat Lim. Comfortline",
 "url": "https://www.autoscout24.com/offers/volkswagen-passat-lim-comfortline-diesel-black-cat_m...",
 "portalUrl": "https://www.autoscout24.com/offers/volkswagen-passat-lim-comfortline-diesel-black-cat_m...",
 "make": "Volkswagen",
 "model": "Passat",
 "modelGroup": "Passat",
 "variant": "Sedan",
 "modelVersion": "Lim. Comfortline",
 "bodyType": "Sedan",
 "vehicleType": "Car",
 "condition": "Used",
 "mileageKm": 245975,
 "firstRegistration": "2006-08-01"
}

Filters that narrow a run

The input accepts 43 options, including make, model, countries, priceFrom, priceTo, yearFrom, yearTo, mileageTo, fuelType, transmission, bodyType, condition, searchUrls, location, maxResults, includeDetails, descriptionMaxLength, compact, incrementalMode, stateKey, and more.

Filters run server-side. You pay for the records requested, with no need to retrieve a larger set and filter it afterwards.

What it costs

Pricing is per event, with no subscription:

$0.005 per actor start
$0.0008 per result

These figures come from a measured run, not an estimate:

300 records in 165.0 seconds
cost: $0.00338 — about $0.01 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields allow comparisons across the whole set instead of relying on a page of results.
Reputation monitoring. Tracking ratings and review text over time reveals movement that a single page view cannot.
Lead lists. Company-level fields help isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps support run-to-run diffs, so teams can act on new data instead of re-reading everything.
Geographic analysis. Location fields enable market-by-market comparisons without a separate data source.

What it will not do

An empty field means the source showed nothing. Values are never inferred or filled in from another source.
The schema follows Autoscout24's markup. A redesign can add, rename or drop fields.
Anything Autoscout24 places behind a login is absent from every field below, by design.

Questions people ask

Not every field is populated, and missing values are not guessed. When the source leaves a field blank, it comes back blank. An empty value therefore means Autoscout24 did not show one, rather than that extraction failed.

Market coverage is controlled with location. It narrows the run before records are produced, so you pay only for the requested market instead of filtering afterwards.

The source-level filters include fuelType, bodyType, maxResults, descriptionMaxLength. This affects cost as well as convenience: filtered-out records are never produced and therefore never billed.

Every run reads Autoscout24 when it executes, with no cached copy in between. Two runs a week apart produce two snapshots, making change detection possible.

For changed records only, use incrementalMode. Without it, another run returns the full set, leaving deduplication to your side.

There is no public bulk export or API. The field list above comes from parsing pages, not from a documented schema.

Try it

If these are the fields you need, the Autoscout24 API behind these fields produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Stepstone API data export: all 81 fields, grouped

Black Falcon Data — Fri, 21 Aug 2026 23:23:00 +0000

A Stepstone record contains 81 fields. This page shows which are populated, which are optional, and what a real row looks like — the data the Stepstone API has to work with.

It also covers what our own Stepstone Actor returns, how much it costs, and where its limits are.

Every field

Each record includes 81 fields, divided into several groups:

company — company, companyId, companyLogo, companyUrl, companyWebsite, companyEmployees, companyIndustries, companyBenefits, companyAddress, companyRating
is — isSponsored, isTopJob, isPartnershipJob, isAnonymous, isHighlighted, isRepost
salary — salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod
description — description, descriptionHtml, descriptionMarkdown, descriptionLength
contact — contactName, contactEmail, contactPhone
text — textSections, textSnippet, textSnippetCleaned
extracted — extractedEmails, extractedPhones, extractedUrls
apply — applyEmail, applyUrl
location — location, locationDetail
work — workFromHome, workFromHomeLabel
publish — publishFromDate, publishToDate
source — sourceUrl, sourceDomain
content — contentQuality, contentHash
repost — repostOfId, repostDetectedAt

Here is a returned record, shortened for readability:

{
 "jobId": "f4dbe212ce1aaee33f980edd5cbaefbc63c87b29fd1be7fd7075724b72910573",
 "harmonisedId": "0a9b9217-5b2a-4e2e-9ff8-ce4980f4c082",
 "legacyJobId": 13817131,
 "title": "Software Engineer Public Sector (all genders)",
 "company": "msg systems ag",
 "companyId": 5245,
 "companyLogo": "https://www.stepstone.de/upload_DE/logo/1/logomsg-systems-gmbh-5245DE-2207011009.gif",
 "companyUrl": "https://www.stepstone.de/cmp/de/msg-systems-ag-5245/jobs",
 "companyWebsite": null,
 "companyEmployees": null,
 "companyIndustries": [],
 "companyBenefits": [],
 "companyAddress": null,
 "contactName": null
}

Filters that narrow a run

The input accepts 47 options, including query, location, startUrls, bundesland, sort, age, remote, radius, minSalary, contractType, experience, workType, companyId, language, applicationMethod, excludeSponsored, includeDetails, descriptionFormat, maxResults, maxPages, and more. Because the filters run server-side, you pay only for the requested records instead of filtering them afterwards.

What it costs

Pricing is per event, with no subscription:

$0.005 per actor start
$0.0015 per result

Here are the results from a measured run, not an estimate:

25 records in 24.9 seconds
cost: $0.03 — about $1.12 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the whole set instead of forcing you to eyeball a page of results.
Reputation monitoring. Tracking ratings and review text over time reveals movement that one page view cannot show.
Lead lists. Company-level fields help you isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps allow you to diff runs and respond to new information instead of re-reading everything.
Geographic analysis. Location fields provide market-by-market comparisons without requiring a separate data source.

What it will not do

An empty field means the source showed nothing. Values are never inferred or filled in from elsewhere.
The schema follows Stepstone's markup. A redesign can therefore add, rename or drop fields.
By design, anything Stepstone places behind a login is absent from every field below.

Questions people ask

Are all fields always populated?

No, and missing values are not guessed. When the source leaves a field blank, it comes back blank. An empty value means Stepstone did not show one, not that extraction failed.

Which markets does it cover?

The location option narrows the run before any records are produced. You pay for the requested market instead of filtering afterwards.

Which filters are applied at the source?

minSalary, contractType, workType, maxResults run server-side. That affects cost as well as convenience: filtered-out records are never produced and therefore never billed.

How fresh is the data?

Every run reads Stepstone when it runs, with no cached copy in between. Running it twice, one week apart, produces two snapshots and makes change detection possible.

Can I fetch only what changed?

Use incrementalMode for that. Without it, a re-run returns the full set again, leaving deduplication to your side.

Is there an official Stepstone export?

No. There is no public bulk export or API, so the field list above comes from parsing pages rather than a documented schema.

Try it

If these are the fields you need, the Stepstone API we keep working produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Jobstreet API schema: fields, filters, and what is missing

Black Falcon Data — Fri, 21 Aug 2026 23:17:55 +0000

The Jobstreet API produces 73 fields per record. Below is the complete field list, what each group contains, and which values may come back empty. The sales pitch waits until the end.

Coverage includes Malaysia, Singapore, Indonesia and the Philippines.

These are the results our own Jobstreet Actor returns, along with its cost and limits.

Every field

Every row contains 73 fields, organized into these groups:

company — company, companyUrl, companyIndustry, companySize, companyWebsite, companyDescription, companyLogo, companyCoverImageUrl, companyPerks, companySearchUrl, companyReviewRating, companyReviewCount
location — location, locationCountry, locationState, locationSuburb, locationPostcode
salary — salaryText, salaryMin, salaryMax, salaryCurrency, salaryType
description — description, descriptionHtml, descriptionMarkdown, descriptionLength
job — jobId, jobScore, jobScoreReasons
is — isVerifiedAdvertiser, isSponsored, isRepost
contact — contactName, contactEmail, contactPhone
source — sourceUrl, sourceCountry, sourceDomain
extracted — extractedEmails, extractedPhones, extractedUrls
category — category, categoryId
sub — subCategory, subCategoryId
content — contentQuality, contentHash
apply — applyEmail, applyUrl
applicant — applicantCount, applicantVolumeLabel
search — searchQuery, searchUrl
repost — repostOfId, repostDetectedAt

Here is an actual record from a run, trimmed to its leading fields:

{
 "jobId": "0b30f9455ac6d9078bd29ea2a74fc7f7af82cb623420ee0cbb4b7feaf5d9f5be",
 "seekJobId": "94051545",
 "title": "Software Engineer",
 "canonicalUrl": "https://my.jobstreet.com/job/94051545",
 "company": "techstreet",
 "companyUrl": null,
 "advertiserId": "63825126",
 "location": "Petaling Jaya, Selangor",
 "locationCountry": "MY",
 "locationState": null,
 "locationSuburb": null,
 "locationPostcode": null,
 "salaryText": "RM 5,000 - RM 7,000 per month",
 "salaryMin": 5000
}

Filters that narrow a run

The input supports 53 options, including query, country, location, startUrls, maxResults, maxPages, sortMode, dateRange, workType, workArrangement, classification, subClassification, salaryMin, salaryMax, includeKeywords, excludeKeywords, keywordMatchTitle, keywordMatchCompany, keywordMatchDescription, keywordMatchCategory, and more. Because the filters run server-side, you pay for the records you requested instead of collecting extra records and filtering them afterwards.

The available markets are Malaysia, Singapore, Indonesia and the Philippines. The country option accepts MY, SG, ID, PH and defaults to MY. Each run is limited to one market before any records are produced, so data outside that market is neither fetched nor billed.

What it costs

Pricing is per event, with no subscription:

$0.01 per actor start
$0.002 per result

Here are the figures from a measured run, not an estimate:

25 records in 28.0 seconds
cost: $0.00155 — about $0.06 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the entire result set instead of requiring someone to eyeball a page of listings.
Reputation monitoring. Ratings and review text reveal changes over time that one page view cannot show.
Lead lists. Company-level fields help narrow the data to the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new information instead of re-reading the full set.
Geographic analysis. Location fields allow market-by-market comparisons without another data source.

Limits

An empty value means the source displayed nothing. The Actor never infers fields or fills them with data from elsewhere.
The schema tracks Jobstreet's markup. A redesign can add, rename or remove fields.
Anything Jobstreet places behind a login is deliberately absent from every field below.

Operational details

Fields are not always populated, and missing values are never guessed. When the source leaves a field blank, the field comes back blank. An empty value therefore means Jobstreet did not display one, not that extraction failed.

For market selection, country accepts MY, SG, ID, PH and defaults to MY. A single run covers one market. Covering multiple markets requires multiple runs, each billed only for the records it returns.

The maxResults, maxPages, dateRange, workType filters run server-side. That affects cost as well as convenience: records excluded by those filters are never produced and therefore never billed.

Every run reads Jobstreet when it executes, with no cached copy in between. Two runs a week apart produce two snapshots, enabling change detection.

To fetch only changed records, use incrementalMode. Without it, another run returns the entire set, leaving deduplication to your side.

There is no public bulk export or API. The field list above comes from parsing pages, not from a documented schema.

Try it

If these fields match your requirements, the Jobstreet API Actor produces them. New accounts receive $5 of free platform credit each month, enough to run a job of this size several times.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

What the Bayt API returns — 68 fields, one real row

Black Falcon Data — Fri, 21 Aug 2026 23:12:50 +0000

The Bayt API is best evaluated by looking at its schema. Below are all 68 fields, grouped by what they describe, followed by the filters that narrow a run before it costs anything.

Coverage includes INTERNATIONAL, the United Arab Emirates, Saudi Arabia, Egypt, KW, QA, BH, JO, LB, PK, India, OM, IQ and MA.

Here is what our own Bayt Actor returns, what it costs, and where its limits are.

Every field

Each record contains 68 fields, divided into these groups:

salary — salaryText, salaryCurrency, salaryMin, salaryMax, salaryPeriod, salaryUsdCurrency, salaryUsdMin, salaryUsdMax, salaryUsdPeriod
is — isRemote, isExternal, isAggregated, isHighlighted, isBranded, isAiTranslated, isRepost
company — company, companyUrl, companyLogoUrl, companySize
description — description, descriptionHtml, descriptionMarkdown
contact — contactName, contactEmail, contactPhone
extracted — extractedEmails, extractedPhones, extractedUrls
job — jobId, jobRole
employment — employmentType, employmentTypeNormalized
age — ageMin, ageMax
posted — postedDate, postedAt
repost — repostOfId, repostDetectedAt

Here are the first fields from one row in a real dataset:

{
 "jobId": "0b2e41dee2018d2b772f0560dab0ef015d1893b0ccd25ef0f0ee20c1d4c06804",
 "title": "Senior OutSystems Developer",
 "company": "Harjai Computers",
 "companyUrl": "https://www.bayt.com/company/company/view/?lang=en&company-url=harjai-computers-2252580",
 "companyLogoUrl": "https://secure.b8cdn.com/120x120/images/logo/80/2252580_logo_1754409431_n.png",
 "location": "Dubai, UAE",
 "city": "Dubai",
 "country": "UAE",
 "distanceKm": null,
 "salaryText": null,
 "salaryCurrency": null,
 "salaryMin": null,
 "salaryMax": null,
 "salaryPeriod": null
}

Filters that narrow a run

The input supports 40 options: query, startUrls, country, location, employmentType, careerLevel, datePosted, sortBy, searchMinSalary, easyApplyOnly, searchRadiusKm, searchLatitude, searchLongitude, maxResults, includeDetails, descriptionMaxLength, compact, removeEmptyFields, incrementalMode, stateKey, and more. Because the filters run server-side, you pay for the records you requested instead of filtering them afterwards.

Coverage is INTERNATIONAL, the United Arab Emirates, Saudi Arabia, Egypt, KW, QA, BH, JO, LB, PK, India, OM, IQ and MA. The country option accepts INTERNATIONAL, AE, SA, EG, KW, QA, BH, JO, LB, PK, IN, OM, IQ, MA, with INTERNATIONAL as the default. Each run is limited to one market before any record is produced, so records outside that market are neither fetched nor billed.

What it costs

Pricing is per event, with no subscription:

$0.0005 per actor start
$0.00099 per result

Here is a measured run, not an estimate:

30 records in 5.5 seconds
cost: $0.00052 — about $0.02 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the entire set instead of requiring someone to eyeball a page of results.
Lead lists. Company-level fields help isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new records instead of reading everything again.
Geographic analysis. Location fields allow market-by-market comparisons without requiring a separate data source.

The honest caveats

An empty field means the source showed nothing. Values are never inferred or filled in from another source.
The schema follows Bayt's markup. A redesign can add, rename or drop fields.
Anything Bayt places behind a login is absent from every field below, by design.

Questions people ask

Are all fields always populated?

No, and missing values are not guessed. When the source leaves a field blank, it comes back blank. An empty value means Bayt did not show one, not that extraction failed.

Which markets does it cover?

country accepts INTERNATIONAL, AE, SA, EG, KW, QA, BH, JO, LB, PK, IN, OM, IQ, MA and defaults to INTERNATIONAL. A single run covers one market. Covering several requires several runs, each billed only for what it returns.

Which filters are applied at the source?

employmentType, datePosted, searchMinSalary, maxResults run server-side. This affects cost as well as convenience: filtered-out records are never produced, so they are never billed.

How fresh is the data?

Every run reads Bayt when it runs, with no cached copy in between. Two runs a week apart provide two snapshots, enabling change detection.

Can I fetch only what changed?

Yes, through incrementalMode. Without it, running the Actor again returns the full set, leaving you to dedupe it on your side.

Is there an official Bayt export?

No. There is no public bulk export or API. The field list above therefore comes from parsing pages, not from a documented schema.

Try it

If these are the fields you need, the Bayt API endpoint we maintain produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Every field the Internshala API returns (65)

Black Falcon Data — Fri, 21 Aug 2026 23:07:45 +0000

Before building against Internshala, you need to know whether the data includes the fields your project requires. The Internshala API returns 65 fields per record. They are grouped below, followed by a real row from a run.

Coverage is India.

Here is what our own Internshala Actor returns, how much it costs, and where its coverage ends.

Every field

Each record contains 65 fields, organized into these groups:

description — description, descriptionHtml, descriptionMarkdown, descriptionLength
salary — salaryMin, salaryMax, salaryCurrency, salaryPeriod
job — jobId, jobKey, jobOfferText
company — company, companyLogo, companyUrl
is — isWorkFromHome, isPartTime, isRepost
source — sourceUrl, sourceCountry, sourceDomain
duration — duration, durationMonths
experience — experienceMonths, experienceText
apply — applyBy, applyUrl
search — searchQuery, searchUrl
content — contentQuality, contentHash
repost — repostOfId, repostDetectedAt

This real record came straight from a run and has been trimmed to the first fields:

{
 "jobId": "59db134543d36eebaa2ece379f79dd87c4462de58167ea8c452b8a60f53dbfdc",
 "jobKey": "3232934",
 "listingType": "internship",
 "title": "Front End Development",
 "company": "Synergy Labs",
 "companyLogo": "/static/images/search/placeholder_logo.svg",
 "companyUrl": null,
 "location": "Panipat, Panipat Sub-District",
 "isWorkFromHome": false,
 "isPartTime": false,
 "workMode": "onsite",
 "inOfficeDaysPerWeek": null,
 "category": null,
 "skills": [
 "HTML",
 "CSS",
 "JavaScript",
 "... +2"
 ]
}

Not every field is populated, and missing values are never guessed. When the source leaves a field blank, the response leaves it blank too. An empty value means Internshala did not show one, not that extraction failed.

Filters that narrow a run

The input supports 40 options, including listingType, query, category, location, workFromHome, partTime, durationMonths, withJobOffer, fastResponse, earlyApplicant, forWomen, minStipend, minSalary, startUrls, country, maxResults, maxPages, includeDetails, descriptionMaxLength, compact, and more.

Filters run server-side. You pay for the records you request instead of fetching a larger set and filtering it afterwards. In particular, listingType, category, minStipend, minSalary run server-side. Filtered-out records are never produced, so they are never billed.

Coverage is India. country accepts IN and defaults to IN. Each run is limited to one market before any record is produced, which means nothing outside that market is fetched or billed. Covering several markets requires several runs, with each run billed only for what it returns.

What it costs

Pricing is pay per event, with no subscription:

$0.0005 per actor start
$0.0004 per result

Here is a measured run, not an estimate:

80 records in 7.7 seconds
cost: $0.00059 — about $0.00742 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the full set instead of forcing you to eyeball a page of results.
Reputation monitoring. Ratings and review text tracked over time reveal movement that one page view cannot.
Lead lists. Company-level fields help narrow the data to the segment you care about before anyone opens a CRM.
Change detection. Timestamps let you diff runs and respond to new records without re-reading the entire set.
Geographic analysis. Location fields allow market-by-market comparisons without another data source.

Every run reads Internshala when it runs; there is no cached copy in between. Running it twice, one week apart, produces two snapshots for change detection.

For changed records only, use incrementalMode. Without it, another run returns the full set, leaving deduplication to your side.

Where it stops

Empty means the source showed nothing. Fields are never inferred or filled in from elsewhere.
The schema follows Internshala's markup, so a redesign can add, rename or drop fields.
Anything Internshala puts behind a login is absent from every field below, by design.
There is no public bulk export or API. The field list above comes from parsing pages, not from a documented schema.

Try it

If these are the fields you need, the Internshala API we keep working produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Upwork API output: the complete field reference

Black Falcon Data — Fri, 21 Aug 2026 23:02:40 +0000

The Upwork API produces 55 fields per record. Below is the complete field list, what each group contains, and which values may come back empty. The sales pitch waits until the end.

These are the fields returned by our own Upwork Actor, along with its cost and limits.

Every field

Each row contains 55 fields, organized into these groups:

client — clientCountry, clientCountryCode, clientTotalSpent, clientSpentCurrency, clientPaymentVerified, clientRating, clientReviewCount, clientHasFinancialPrivacy
salary — salaryMin, salaryMax, salaryCurrency, salaryType
description — description, descriptionHtml, descriptionMarkdown
engagement — engagementType, engagementDuration, engagementDurationWeeks
extracted — extractedEmails, extractedPhones, extractedUrls
contact — contactName, contactEmail, contactPhone
job — jobId, jobType
budget — budgetAmount, budgetCurrency
hourly — hourlyBudgetMin, hourlyBudgetMax
skills — skills, skillsDetailed
repost — repostOfId, repostDetectedAt

Here are the leading fields from an actual run:

{
 "jobId": "2091766535816529594",
 "title": "B2B: Company Enrichment",
 "description": "Required data\n\nFor each company, provide:\n\n1. **Company Website**\n2. **LinkedIn Company...",
 "descriptionHtml": null,
 "descriptionMarkdown": "Required data\n\nFor each company, provide:\n\n1. **Company Website**\n2. **LinkedIn Company...",
 "contentHash": "7aee12807e5bf8bb0f107e537b987cc0aa9b655f611cf4117d02d1802cd6f3af",
 "jobType": "FIXED",
 "experienceLevel": "ExpertLevel",
 "budgetAmount": 100,
 "budgetCurrency": "USD",
 "hourlyBudgetMin": null,
 "hourlyBudgetMax": null,
 "weeklyRetainerBudget": null,
 "salaryMin": 100
}

Filters that narrow a run

The input accepts 55 options, including query, searchUrl, jobType, experienceLevel, workload, sort, category, location, excludeLocations, budget, hourlyRate, duration, verifiedPaymentOnly, proposals, contractToHire, clientHires, includeKeywords, excludeKeywords, fromDate, toDate, and more.

These filters run server-side. You pay only for the records requested, instead of producing a larger set and filtering it afterwards.

What it costs

Pricing is per event, with no subscription:

$0.001 per actor start
$0.001 per result

One measured run—not an estimate—produced:

25 records in 5.1 seconds
cost: $0.00028 — about $0.01 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the entire set instead of a page of results.
Reputation monitoring. Tracking ratings and review text over time reveals movement that one page view cannot.
Geographic analysis. Location fields allow market-by-market comparisons without another data source.

Limits

An empty field means the source showed nothing. Values are never inferred or filled from another source.
The schema follows Upwork's markup, so a redesign can add, rename or drop fields.
Anything Upwork places behind a login is absent from every field below, by design.

Questions people ask

Are all fields always populated?

No. They are not guessed, either. When the source leaves a field blank, the result stays blank. An empty value means Upwork did not show one, not that extraction failed.

Which markets does it cover?

location narrows the run before records are produced. You pay for the requested market instead of filtering the results afterwards.

Which filters are applied at the source?

jobType, category, fromDate, toDate run server-side. That affects cost as well as convenience: filtered-out records are never produced and therefore never billed.

How fresh is the data?

Every run reads Upwork when it runs, with no cached copy in between. Two runs a week apart provide two snapshots, making change detection possible.

Can I fetch only what changed?

Yes. incrementalMode exists for that purpose. Without it, another run returns the full set, and you dedupe it on your side.

Is there an official Upwork export?

No. There is no public bulk export or API, so the field list above comes from parsing pages, not a documented schema.

Try it

If these are the fields you need, the Upwork API, maintained against the live site produces them. New accounts receive $5 of free platform credit each month—enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Wellfound API data export: all 71 fields, grouped

Black Falcon Data — Fri, 21 Aug 2026 22:57:35 +0000

The Wellfound API produces 71 fields per record. Here is the complete field list, organized by group, including what each group contains and which values can come back empty.

Below is what our own Wellfound Actor returns, what it costs, and where its coverage ends.

Every field

Every row contains 71 fields, divided into these groups:

company — companyId, companySlug, companyName, companyLogo, companyTagline, companySize, companyDescription, companyFoundedYear, companyLinkedIn, companyTwitter, companyFundingStage, companyTotalRaised, +4 more
salary — salaryMin, salaryMax, salaryEquityMin, salaryEquityMax, salaryCurrency, salaryPeriod
job — jobType, jobBenefits, jobAddressLocality, jobAddressRegion, jobAddressCountry
description — description, descriptionHtml, descriptionMarkdown
extracted — extractedEmails, extractedPhones, extractedUrls
remote — remote, remoteKind
years — yearsExperienceMin, yearsExperienceMax
repost — repostOfId, repostDetectedAt

Here is a real record from one run, trimmed to the leading fields:

{
 "id": "4579450",
 "title": "Software Engineer",
 "slug": "software-engineer",
 "portalUrl": "https://wellfound.com/jobs/4579450-software-engineer",
 "detailUrl": "https://wellfound.com/jobs/4579450-software-engineer",
 "compensation": "$110k - $155k",
 "salaryMin": 110000,
 "salaryMax": 155000,
 "salaryEquityMin": null,
 "salaryEquityMax": null,
 "description": "Join us in pioneering the next generation of nuclear reactors! You'll leverage your sof...",
 "descriptionHtml": null,
 "descriptionMarkdown": "Join us in pioneering the next generation of nuclear reactors! You'll leverage your sof...",
 "jobType": "full-time"
}

Filters that narrow a run

The input accepts 55 options, including query, roles, searchUrls, location, excludeLocations, remote, originLocation, radiusMiles, radiusKm, jobType, experienceLevel, salaryMin, salaryMax, equityMin, visaSponsorship, includeKeywords, excludeKeywords, fromDate, toDate, maxAgeMinutes, and more.

These filters run server-side. You pay for the records you requested instead of producing a larger set and filtering it afterwards.

What it costs

Pricing is per event, with no subscription:

$0.005 per actor start
$0.003 per result

Here are the results of a measured run, not an estimate:

120 records in 91.0 seconds
cost: $0.00876 — about $0.07 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the full set instead of requiring someone to eyeball a page of results.
Lead lists. Company-level fields help narrow the data to the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new records instead of re-reading the entire set.
Geographic analysis. Location fields allow market-by-market comparisons without a separate data source.

Limits

An empty value means the source showed nothing. Fields are never inferred or completed with information from elsewhere.
The schema follows Wellfound's markup. A redesign can add, rename or drop fields.
Anything Wellfound puts behind a login is absent from every field below, by design.

Questions people ask

Are all fields always populated?

No, and missing values are not guessed. When the source leaves a field blank, it comes back blank. An empty value means Wellfound did not show one, not that extraction failed.

Which markets does it cover?

The location option narrows the run before any records are produced. You pay for the requested market instead of filtering the results afterwards.

Which filters are applied at the source?

jobType, salaryMin, salaryMax, equityMin run server-side. That affects cost as well as convenience: filtered-out records are never produced, so they are never billed.

How fresh is the data?

Every run reads Wellfound when it runs, with no cached copy in between. Two runs a week apart produce two snapshots, enabling change detection.

Can I fetch only what changed?

Yes. incrementalMode exists for that. Without it, a re-run returns the full set again, leaving you to dedupe it on your side.

Is there an official Wellfound export?

No. There is no public bulk export or API. The field list above therefore comes from parsing pages, not from a documented schema.

Try it

If these are the fields you need, the Wellfound API on Apify produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Every field the Seek API returns (73)

Black Falcon Data — Fri, 21 Aug 2026 22:51:07 +0000

The Seek API produces 73 fields per record. Below is the complete field list, what each group contains, which values may come back empty, what our own Seek Actor costs, and where its coverage ends.

Coverage is Australia and New Zealand.

Every field

Every row contains 73 fields, organized into these groups:

company — company, companyUrl, companyIndustry, companySize, companyWebsite, companyDescription, companyLogo, companyCoverImageUrl, companyPerks, companySearchUrl, companyReviewRating, companyReviewCount
location — location, locationCountry, locationState, locationSuburb, locationPostcode
salary — salaryText, salaryMin, salaryMax, salaryCurrency, salaryType
description — description, descriptionHtml, descriptionMarkdown, descriptionLength
job — jobId, jobScore, jobScoreReasons
is — isVerifiedAdvertiser, isSponsored, isRepost
contact — contactName, contactEmail, contactPhone
source — sourceUrl, sourceCountry, sourceDomain
extracted — extractedEmails, extractedPhones, extractedUrls
category — category, categoryId
sub — subCategory, subCategoryId
content — contentQuality, contentHash
apply — applyEmail, applyUrl
applicant — applicantCount, applicantVolumeLabel
search — searchQuery, searchUrl
repost — repostOfId, repostDetectedAt

This actual record from a run has been cut to the leading fields:

{
 "jobId": "f047cfa35f820db1076061549cb815edeac9b2496740af0bdd56be931031a22b",
 "seekJobId": "94033849",
 "title": "Full Stack Developer",
 "canonicalUrl": "https://au.seek.com/job/94033849",
 "company": "Alzaro",
 "companyUrl": null,
 "advertiserId": "41508582",
 "location": "Melbourne VIC",
 "locationCountry": "AU",
 "locationState": null,
 "locationSuburb": null,
 "locationPostcode": null,
 "salaryText": null,
 "salaryMin": null
}

Filters that narrow a run

The input supports 53 options: query, country, location, startUrls, maxResults, maxPages, sortMode, dateRange, workType, workArrangement, classification, subClassification, salaryMin, salaryMax, includeKeywords, excludeKeywords, keywordMatchTitle, keywordMatchCompany, keywordMatchDescription, keywordMatchCategory, and more.

These filters run server-side. You pay for the records you request instead of retrieving a larger set and filtering it afterwards.

Coverage spans Australia and New Zealand. The country field accepts AU, NZ, defaulting to AU. Each run is scoped to one market before it produces a record, so data outside that market is neither fetched nor billed.

What it costs

Pricing is per event, with no subscription:

$0.01 per actor start
$0.002 per result

Here is a measured run, not an estimate:

25 records in 10.5 seconds
cost: $0.00073 — about $0.03 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the full set instead of a page of results.
Reputation monitoring. Ratings and review text reveal movement over time that one page view cannot show.
Lead lists. Company-level fields help isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new data instead of reading everything again.
Geographic analysis. Location fields allow market-by-market comparisons without another data source.

Limits

An empty field means the source showed nothing. Values are never inferred or filled from another source.
The schema follows Seek's markup, so a redesign can add, rename or drop fields.
Anything Seek puts behind a login is absent from every field below, by design.

Questions people ask

Are all fields always populated?

No. They are not guessed. When the source leaves a field blank, the field comes back blank. An empty value means Seek did not show one, not that extraction failed.

Which markets does it cover?

country accepts AU, NZ and defaults to AU. A run covers one market. Covering several requires several runs, and each run is billed only for what it returns.

Which filters are applied at the source?

maxResults, maxPages, dateRange, workType run server-side. This affects cost as well as convenience: filtered-out records are never produced, so they are never billed.

How fresh is the data?

Every run reads Seek when it runs, with no cached copy in between. Two runs a week apart produce two snapshots, making change detection possible.

Can I fetch only what changed?

Yes. incrementalMode exists for that. Without it, a re-run returns the full set again, and you dedupe on your side.

Is there an official Seek export?

No. There is no public bulk export or API. The field list above therefore comes from parsing pages, not from a documented schema.

Try it

If these are the fields you need, the Seek API endpoint we maintain produces them. New accounts receive $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

Naukri API data export: all 96 fields, grouped

Black Falcon Data — Fri, 21 Aug 2026 22:51:06 +0000

Before building against Naukri, check whether the data includes what you need. The Naukri API returns 96 fields per record. Below, they are grouped by purpose, followed by a real row.

Here is what our own Naukri Actor returns, what it costs, and where its coverage ends.

Every field

Each record carries 96 fields, grouped as follows:

company — companyName, companyId, companyWebsite, companyApplyJob, companyApplyUrl, companyDescription, companyAddress, companyMedia, companyPageUrl
salary — salary, salaryMin, salaryMax, salaryCurrency, salaryVariablePercent, salaryMinPerMonth, salaryMaxPerMonth, salaryHidden
description — descriptionSnippet, description, descriptionHtml, descriptionMarkdown
job — jobId, jobRole, jobType
apply — applyByTime, applyCount, applyRedirectUrl
contact — contactName, contactEmail, contactPhone
extracted — extractedEmails, extractedPhones, extractedUrls
location — location, locationGids
logo — logoPath, logoPathV3
ambition — ambitionBox, ambitionBoxDetails
is — isTopGroup, isRepost
static — staticUrl, staticCompanyName
hide — hideClientName, hideApplyButton
education — educationUG, educationPG
walk — walkIn, walkInDetail
social — socialBanner, socialProfiles
repost — repostOfId, repostDetectedAt

This real record came straight from a run and has been trimmed to the first fields:

{
 "jobId": "180826501393",
 "title": "Developer III - Apigee, JSON, JavaScript, XML",
 "companyName": "UST",
 "companyId": 5987420,
 "experienceText": "3-5 Yrs",
 "minimumExperience": 3,
 "maximumExperience": 5,
 "salary": "Not disclosed",
 "salaryMin": null,
 "salaryMax": null,
 "salaryCurrency": null,
 "salaryVariablePercent": null,
 "salaryMinPerMonth": null,
 "salaryMaxPerMonth": null
}

Filters that narrow a run

The input accepts 57 options, including keyword, searchQueries, skills, jobIds, startUrls, ignoreUrlFailures, location, experience, experienceMin, experienceMax, salary, sortBy, workMode, freshness, datePosted, roleCategory, industry, cityTypeGid, groupId, companyId, and more.

Filters run server-side. You pay for the records you requested instead of producing a larger set and filtering it afterwards.

One measured run—not an estimate—produced:

30 records in 8.9 seconds
cost: $0.00101 — about $0.03 per 1,000 records

What people use it for

Benchmarking. Pricing and salary fields support comparisons across the whole set instead of a page of results.
Lead lists. Company-level fields let you isolate the relevant segment before anyone opens a CRM.
Change detection. Timestamps make it possible to diff runs and act on new records instead of re-reading everything.
Geographic analysis. Location fields support market-by-market comparisons without a separate data source.

Where it stops

An empty field means the source showed nothing. Values are never inferred or filled in from elsewhere.
The schema follows Naukri's markup, so a redesign can add, rename or drop fields.
Anything Naukri puts behind a login is absent from every field below, by design.

Data coverage and behavior

Not every field is always populated, and missing values are not guessed. When the source leaves a field blank, it comes back blank. An empty value therefore means Naukri did not show one rather than that extraction failed.

For market coverage, location narrows the run before any records are produced. You pay for the market you requested instead of filtering afterwards.

The source applies experienceMin, experienceMax, datePosted, roleCategory server-side. This affects cost as well as convenience: filtered-out records are never produced, so they are never billed.

Each run reads Naukri at the time it runs — there is no cached copy in between. Two runs a week apart provide two snapshots, which makes change detection possible.

To fetch only what changed, use incremental. Without it, a re-run returns the full set again and you dedupe on your side.

There is no public bulk export or API. The field list above comes from parsing pages rather than from a documented schema.

Try it

If these fields match your requirements, the Naukri API we run so you do not have to produces them. New accounts get $5 of free platform credit each month, enough to cover a real run of this size several times over.

Disclosure: we build and maintain this Actor, and the link above is an affiliate link.

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