DEV Community: Logiover

How to Scrape OpenStreetMap — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 10:40:44 +0000

If you need to pull OpenStreetMap data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the OpenStreetMap Scraper — Business & POI Data, No Key, a hosted scraper on the Apify platform. You only need a free Apify token — no OpenStreetMap login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

name
category
subcategory
fullAddress
city
phone
website
openingHours
lat
lng
osmUrl
osmId
osmType
amenity

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/openstreetmap-business-poi-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install openstreetmap-business-poi-scraper

const scrape = require("openstreetmap-business-poi-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install openstreetmap-business-poi-scraper

from openstreetmap_business_poi_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchMode`	string	Search Mode
`city`	string	City Name
`bboxSouth`	number	BBox South (latitude)
`bboxWest`	number	BBox West (longitude)
`bboxNorth`	number	BBox North (latitude)
`bboxEast`	number	BBox East (longitude)
`centerLat`	number	Center Latitude
`centerLng`	number	Center Longitude
`radiusMeters`	integer	Radius (meters)
`categories`	array	Categories
`requireName`	boolean	Require Name
`requireAddress`	boolean	Require Address

Common use cases

Build a fresh OpenStreetMap dataset for analysis or dashboards
Feed OpenStreetMap records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date OpenStreetMap data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.

FAQ

Do I need an API key? Only a free Apify token. No OpenStreetMap account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official OpenStreetMap API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the OpenStreetMap Scraper — Business & POI Data, No Key on Apify: https://apify.com/logiover/openstreetmap-business-poi-scraper

📚 Docs & code examples: https://github.com/logiover/openstreetmap-business-poi-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Twitter Email — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 10:40:12 +0000

If you need to pull Twitter Email data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Twitter Email Scraper - X Profile & Lead Extractor, a hosted scraper on the Apify platform. You only need a free Apify token — no Twitter Email login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

username
name
followers
email
website
location
verified
url
userId
bio
phone
following
tweetCount
likeCount

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/x-profile-email-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install x-profile-email-scraper

const scrape = require("x-profile-email-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install x-profile-email-scraper

from x_profile_email_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`profiles`	array	X profiles
`onlyWithContact`	boolean	Only profiles with email or website
`maxConcurrency`	integer	Max concurrency
`maxResults`	integer	Max results
`proxyConfiguration`	object	Proxy

Common use cases

Build a fresh Twitter Email dataset for analysis or dashboards
Feed Twitter Email records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Twitter Email data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Twitter Email account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Twitter Email API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Twitter Email Scraper - X Profile & Lead Extractor on Apify: https://apify.com/logiover/x-profile-email-scraper

📚 Docs & code examples: https://github.com/logiover/x-profile-email-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Lazada — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 10:39:40 +0000

If you need to pull Lazada data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Lazada Scraper - Scrape Products & Prices, a hosted scraper on the Apify platform. You only need a free Apify token — no Lazada login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

name
priceShow
discount
ratingScore
review
sold
sellerName
brandName
itemUrl
itemId
price
originalPrice
originalPriceShow
currency

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/lazada-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install lazada-scraper

const scrape = require("lazada-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install lazada-scraper

from lazada_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchTerms`	array	Search terms
`category`	string	Category (optional)
`categoryUrls`	array	Category / search URLs
`country`	string	Marketplace country
`sortBy`	string	Sort by
`maxItemsPerTerm`	integer	Max items per term
`maxResults`	integer	Max results
`proxyConfiguration`	object	Proxy

Common use cases

Build a fresh Lazada dataset for analysis or dashboards
Feed Lazada records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Lazada data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Lazada account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Lazada API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Lazada Scraper - Scrape Products & Prices on Apify: https://apify.com/logiover/lazada-scraper

📚 Docs & code examples: https://github.com/logiover/lazada-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Internshala Internship & Jobs — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 09:39:02 +0000

If you need to pull Internshala Internship & Jobs data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Internshala Internship & Jobs Scraper, a hosted scraper on the Apify platform. You only need a free Apify token — no Internshala Internship & Jobs login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

listingId
listingType
title
company
location
isRemote
stipend
stipendMin
duration
startDate
applyBy
openings
applicants
isPartTime

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/internshala-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install apify-internshala-scraper

const scrape = require("apify-internshala-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install internshala-scraper

from internshala_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`listingType`	string	Listing Type
`categories`	array	Categories (optional)
`cities`	array	Cities (optional)
`workFromHome`	boolean	Work From Home / Remote Only
`partTime`	boolean	Part-Time Only
`minStipend`	integer	Minimum Stipend (₹/month)
`maxListings`	integer	Max Listings
`maxPages`	integer	Max Pages per Search
`scrapeDetails`	boolean	Scrape Detail Pages
`proxyConfiguration`	object	Proxy Configuration
`requestDelay`	integer	Request Delay (ms)
`maxConcurrency`	integer	Max Concurrency

Common use cases

Build a fresh Internshala Internship & Jobs dataset for analysis or dashboards
Feed Internshala Internship & Jobs records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Internshala Internship & Jobs data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Internshala Internship & Jobs account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Internshala Internship & Jobs API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Internshala Internship & Jobs Scraper on Apify: https://apify.com/logiover/internshala-scraper

📚 Docs & code examples: https://github.com/logiover/internshala-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Craigslist — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 09:38:30 +0000

If you need to pull Craigslist data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Craigslist Scraper - Listings, Prices & Images, a hosted scraper on the Apify platform. You only need a free Apify token — no Craigslist login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

title
price
location
category
postedDate
imageCount
url

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/craigslist-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install craigslist-scraper

const scrape = require("craigslist-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install apify-craigslist-scraper

from craigslist_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`city`	string	City
`category`	string	Category
`query`	string	Search keyword (optional)
`searchUrls`	array	Craigslist search URLs (advanced)
`builder`	object	Search builder (advanced)
`maxResults`	integer	Max results
`includeDetails`	boolean	Fetch listing details
`proxyConfiguration`	object	Proxy

Common use cases

Build a fresh Craigslist dataset for analysis or dashboards
Feed Craigslist records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Craigslist data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Craigslist account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Craigslist API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Craigslist Scraper - Listings, Prices & Images on Apify: https://apify.com/logiover/craigslist-scraper

📚 Docs & code examples: https://github.com/logiover/craigslist-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Public Tenders — Free No-Code Guide (2026)

Logiover — Tue, 14 Jul 2026 09:37:58 +0000

If you need to pull Public Tenders data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Public Tenders Scraper - Government Procurement Data, a hosted scraper on the Apify platform. You only need a free Apify token — no Public Tenders login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

source
title
buyerName
buyerCountry
procurementType
estimatedValueAmount
estimatedValueCurrency
publishedDate
deadlineDate
noticeUrl
noticeId
noticeType
noticeSubtype
titleAllLanguages

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/global-public-tenders-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install global-public-tenders-scraper

const scrape = require("global-public-tenders-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install global-public-tenders-scraper

from global_public_tenders_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`sources`	array	Sources to Query
`keywords`	array	Keywords
`publishedFrom`	string	Published From (ISO date)
`publishedTo`	string	Published To (ISO date)
`tedCountries`	array	TED — Country Filter
`tedCpvCodes`	array	TED — CPV Codes
`tedContractNature`	array	TED — Contract Nature
`tedNoticeTypes`	array	TED — Notice Type
`samGovApiKey`	string	SAM.gov API Key (free)
`samGovNaicsCodes`	array	SAM.gov — NAICS Codes
`samGovNoticeTypes`	array	SAM.gov — Notice Types
`ukKeywords`	string	UK FTS — Keyword override

Common use cases

Build a fresh Public Tenders dataset for analysis or dashboards
Feed Public Tenders records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Public Tenders data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Public Tenders account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Public Tenders API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Public Tenders Scraper - Government Procurement Data on Apify: https://apify.com/logiover/global-public-tenders-scraper

📚 Docs & code examples: https://github.com/logiover/global-public-tenders-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Bulk Email Verifier — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 23:40:41 +0000

If you need to pull Bulk Email Verifier data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Bulk Email Verifier – Validate & Clean Email Lists, a hosted scraper on the Apify platform. You only need a free Apify token — no Bulk Email Verifier login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

score
email
status
reason
syntaxValid
domain
hasMxRecord
mxHost
domainAcceptsMailFallback
isDisposable
isRoleAccount
isFreeProvider
didYouMean
checkedAt

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/bulk-email-verifier
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install apify-bulk-email-verifier

const scrape = require("apify-bulk-email-verifier");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install apify-bulk-email-verifier

from bulk_email_verifier import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`emails`	array	Emails
`emailsText`	string	Emails (paste)
`emailField`	string	Email field name
`concurrency`	integer	Concurrency

Common use cases

Build a fresh Bulk Email Verifier dataset for analysis or dashboards
Feed Bulk Email Verifier records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Bulk Email Verifier data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Bulk Email Verifier account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Bulk Email Verifier API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Bulk Email Verifier – Validate & Clean Email Lists on Apify: https://apify.com/logiover/bulk-email-verifier

📚 Docs & code examples: https://github.com/logiover/bulk-email-verifier

🧰 More scrapers: https://apify.com/logiover

How to Scrape YouTube Channel — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 23:40:09 +0000

If you need to pull YouTube Channel data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the YouTube Channel Scraper — All Videos & Channel Stats, a hosted scraper on the Apify platform. You only need a free Apify token — no YouTube Channel login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

channelTitle
title
viewCount
publishedTime
duration
videoId
url
channelId
channelUrl
channelDescription
channelSubscriberCount
channelSubscriberCountText
channelVideoCount
viewCountText

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/youtube-channel-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install youtube-channel-scraper

const scrape = require("youtube-channel-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install apify-youtube-channel-scraper

from youtube_channel_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`channels`	array	Channels
`contentType`	string	Content type
`country`	string	Country
`language`	string	Language
`maxVideos`	integer	Max videos per channel
`maxResults`	integer	Max results (all channels)

Common use cases

Build a fresh YouTube Channel dataset for analysis or dashboards
Feed YouTube Channel records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date YouTube Channel data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No YouTube Channel account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official YouTube Channel API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the YouTube Channel Scraper — All Videos & Channel Stats on Apify: https://apify.com/logiover/youtube-channel-scraper

📚 Docs & code examples: https://github.com/logiover/youtube-channel-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Crexi — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 23:39:38 +0000

If you need to pull Crexi data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Crexi Scraper - CRE Listings & Broker Leads, a hosted scraper on the Apify platform. You only need a free Apify token — no Crexi login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

name
propertyType
askingPrice
capRate
squareFootage
city
state
zip
latitude
brokerageName
brokerNames
brokerageWebsite
url
scrapedAt

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/crexi-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install crexi-scraper

const scrape = require("crexi-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install crexi-scraper

from crexi_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchUrls`	array	Crexi search URLs (optional)
`propertyTypes`	array	Property types
`states`	array	US states
`keyword`	string	Keyword / location text
`minPrice`	integer	Min asking price (USD)
`maxPrice`	integer	Max asking price (USD)
`includeUnpriced`	boolean	Include unpriced listings
`fetchDetails`	boolean	Fetch listing details (cap rate, year built, description)
`fetchBrokers`	boolean	Fetch broker contact leads
`maxResults`	integer	Max results (total)
`useProxy`	boolean	Use Apify Proxy
`proxyConfiguration`	object	Proxy configuration

Common use cases

Build a fresh Crexi dataset for analysis or dashboards
Feed Crexi records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Crexi data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Crexi account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Crexi API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Crexi Scraper - CRE Listings & Broker Leads on Apify: https://apify.com/logiover/crexi-scraper

📚 Docs & code examples: https://github.com/logiover/crexi-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape PropertyFinder — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 22:40:45 +0000

If you need to pull PropertyFinder data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the PropertyFinder Scraper — Listings, Prices & Agent Leads, a hosted scraper on the Apify platform. You only need a free Apify token — no PropertyFinder login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

title
offeringType
propertyType
priceValue
priceCurrency
pricePeriod
bedrooms
bathrooms
sizeValue
sizeUnit
locationName
latitude
agentName
brokerName

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/propertyfinder-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install propertyfinder-scraper

const scrape = require("propertyfinder-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install propertyfinder-scraper

from propertyfinder_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`searchUrls`	array	Search URLs (optional)
`country`	string	Country / site
`dealType`	string	Deal type
`propertyType`	string	Property type
`sort`	string	Sort by
`maxResults`	integer	Max results (total)
`maxResultsPerSearch`	integer	Max results per search
`useProxy`	boolean	Use Apify Proxy
`proxyConfiguration`	object	Proxy configuration
`maxConcurrency`	integer	Max concurrent searches

Common use cases

Build a fresh PropertyFinder dataset for analysis or dashboards
Feed PropertyFinder records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date PropertyFinder data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No PropertyFinder account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official PropertyFinder API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the PropertyFinder Scraper — Listings, Prices & Agent Leads on Apify: https://apify.com/logiover/propertyfinder-scraper

📚 Docs & code examples: https://github.com/logiover/propertyfinder-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape EdgeProp.sg — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 22:40:13 +0000

If you need to pull EdgeProp.sg data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the EdgeProp.sg Scraper — Singapore Real Estate Data, a hosted scraper on the Apify platform. You only need a free Apify token — no EdgeProp.sg login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

project
street
district
listingType
propertySubType
price
psf
bedrooms
bathrooms
floorAreaSqft
tenure
agentName
agency
agentPhone

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/edgeprop-sg-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install edgeprop-sg-scraper

const scrape = require("edgeprop-sg-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install edgeprop-sg-scraper

from edgeprop_sg_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`propertyType`	string	Property type
`listingType`	string	Listing type
`startUrls`	array	Start URLs (optional)
`maxResults`	integer	Max results (total)
`maxResultsPerSearch`	integer	Max results per category
`priceShardSharding`	boolean	High-volume mode (price-band sharding)
`useProxy`	boolean	Use Apify Proxy
`proxyConfiguration`	object	Proxy configuration
`maxConcurrency`	integer	Max concurrency

Common use cases

Build a fresh EdgeProp.sg dataset for analysis or dashboards
Feed EdgeProp.sg records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date EdgeProp.sg data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No EdgeProp.sg account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official EdgeProp.sg API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the EdgeProp.sg Scraper — Singapore Real Estate Data on Apify: https://apify.com/logiover/edgeprop-sg-scraper

📚 Docs & code examples: https://github.com/logiover/edgeprop-sg-scraper

🧰 More scrapers: https://apify.com/logiover

How to Scrape Swiggy Restaurant — Free No-Code Guide (2026)

Logiover — Mon, 13 Jul 2026 22:39:41 +0000

If you need to pull Swiggy Restaurant data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Swiggy Restaurant Scraper - Ratings, Cuisines & Cost, a hosted scraper on the Apify platform. You only need a free Apify token — no Swiggy Restaurant login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

restaurantId
name
city
area
avgRating
costForTwo
deliveryTime
isOpen
hasMenu
ratingCount
ratingCountNumber
costForTwoNumber
cuisines
deliveryFee

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/swiggy-restaurant-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install swiggy-restaurant-scraper

const scrape = require("swiggy-restaurant-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install swiggy-restaurant-scraper

from swiggy_restaurant_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`cities`	array	Cities
`gridDensity`	string	Grid Density
`maxPerCity`	integer	Max Restaurants per City
`scrapeMenus`	boolean	Scrape Full Menus
`maxMenuItems`	integer	Max Menu Items per Restaurant
`maxConcurrency`	integer	Max Concurrency
`requestDelay`	integer	Request Delay (ms)
`proxyConfiguration`	object	Proxy Configuration

Common use cases

Build a fresh Swiggy Restaurant dataset for analysis or dashboards
Feed Swiggy Restaurant records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Swiggy Restaurant data

Automation & export

FAQ

Do I need an API key? Only a free Apify token. No Swiggy Restaurant account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Swiggy Restaurant API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.

▶️ Run the Swiggy Restaurant Scraper - Ratings, Cuisines & Cost on Apify: https://apify.com/logiover/swiggy-restaurant-scraper

📚 Docs & code examples: https://github.com/logiover/swiggy-restaurant-scraper

🧰 More scrapers: https://apify.com/logiover