DEV Community: Steadyrow

How to get alerts for new 1★ and 2★ App Store reviews after every release

Steadyrow — Tue, 03 Nov 2026 11:02:09 +0000

You ship a new version of your iPhone app, and a day later the rating starts to slide. Usually the reason is right there in the reviews — a crash on launch, a missing button, a login loop — but only if someone reads them in time, in every country you sell in.

This post shows how to pull App Store reviews for any app as JSON, filter them to the low ratings, and get only the new ones on a schedule, so a bad release shows up in Slack instead of in next month's metrics.

1. Find the app ID

Open the app's page on the App Store. The ID is the number at the end of the URL:

https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580

You can use 324684580, id324684580 or the full link. Each country storefront (us, gb, de, jp…) has its own reviews, so list every country you care about.

2. Pull the low-rated reviews

With the App Store Reviews Scraper on Apify, the input looks like this:

{
  "apps": ["324684580"],
  "countries": ["us", "gb", "de"],
  "ratings": ["1", "2"],
  "since": "30 days",
  "sort": "newest",
  "maxReviewsPerApp": 500
}

It reads Apple's public customer-reviews feed — no login, no browser. Every review comes back with rating, title, text, app version, helpful votes and date. The app version is the useful part here: group by app_version and you can see whether the 1★ reviews started with a specific release.

No reviewer names, profile links or avatars are collected.

3. Get only new reviews on a schedule

Turn on Monitor mode and run once. You get the latest reviews as a baseline.
Save the input as an Apify task and add a schedule — daily, or hourly in the days after a release.
Every later run returns only reviews that were not returned before. If nothing new came in, the dataset is empty.

Then connect the dataset to Slack, Google Sheets or a webhook with Apify's built-in integrations.

Limits worth knowing

Apple's public feed exposes about 500 reviews per country and sort order. For more history, add countries or also run most_helpful, and use monitor mode to build your own archive over time.
Developer replies are not in Apple's public feed, so developer_reply is always empty.
Reviews can take up to about a day to appear in the feed.

Cost

Pricing is pay per event: $0.25 per 1,000 reviews plus $0.002 per run. Reviews dropped by your filters or already delivered in monitor mode are not charged. 10,000 reviews cost about $2.50, and a monitor run that finds nothing new costs only the start fee.

This article was written with the help of AI and checked against the tool's own test results. I build and maintain the Steadyrow scrapers on Apify.

How to track new jobs at big employers that use Workday

Steadyrow — Tue, 27 Oct 2026 10:12:22 +0000

Many large employers — NVIDIA, Adobe, Salesforce and thousands more — run their careers sites on Workday. The addresses all look alike: https://<company>.wd5.myworkdayjobs.com/<site>. If you follow hiring at a list of these companies, for a job board, a recruiting pipeline or your own job search, opening each site every day does not scale.

This post shows how to turn any Workday careers site into clean JSON, and how to get only the jobs that are new since yesterday.

1. Find the careers site URL

Open the company's careers page and click "Search for jobs". The address bar now shows the Workday site, for example:

https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite

That full URL is the safest input. A job URL from the same site also works, and so does the short form nvidia/NVIDIAExternalCareerSite (the Workday data centre — wd1, wd3, wd5… — is looked up for you). A company name alone is not enough, because one company can have several Workday sites.

2. Pull the jobs

I use the Workday Jobs Scraper on Apify (disclosure: I built it). It reads the same public JSON that the careers site loads in your browser — no login, no browser, no proxy — and then opens each posting for the full description.

{
  "careerSites": [
    "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
    "adobe.wd5/external_experienced"
  ],
  "keywords": ["engineer"],
  "excludeKeywords": ["intern"],
  "locations": ["United States", "Remote"],
  "postedWithinDays": 14
}

keywords are sent to Workday's own search, so you can pull "engineer" roles from a site with thousands of openings without listing everything.

Each job comes back in one flat shape:

{
  "company": "Nvidia",
  "title": "GenAI Algorithms Intern – Model Optimization for Inference",
  "location": "Poland, Warsaw",
  "locations": ["Poland, Warsaw", "Poland, Remote"],
  "remote": true,
  "employment_type": "FULL_TIME",
  "posted_at": "2026-10-20T00:00:00.000Z",
  "salary_min": 117750,
  "salary_max": 204100,
  "salary_currency": "PLN",
  "salary_period": "YEAR",
  "apply_url": "https://nvidia.wd5.myworkdayjobs.com/…/apply"
}

A few things worth knowing about Workday data:

Workday's "3 Locations" label is expanded into the full locations list.
Pay ranges are parsed from the posting text, so salary_min / salary_max are null when the posting states no range.
Workday does not publish departments or teams, and does not distinguish hybrid from onsite.

3. Get only new jobs every morning

Turn on Monitor mode, save the input as a task and schedule it daily in Apify. The first run returns every matching job; later runs return only jobs you have not received before. In our test, the second run returned 0 jobs, and after we made it forget 3 jobs, the next run returned exactly those 3.

A monitor run still lists the whole site to find what is new, so on very large sites combine it with keywords or postedWithinDays. One Workday search returns at most about 2,000 results, which is another reason to use keywords on big sites.

From there, connect the dataset to whatever you already use — a webhook, Google Sheets, Slack or your own database.

Speed and cost

Workday needs one request per job for the description, so a run handles about 1–2 jobs per second; in our tests 162 NVIDIA internship jobs took about 100 seconds. Requests are limited to about 4 per second per host to stay polite.

Pricing is pay per result: $1 per 1,000 jobs plus $0.002 per run. Jobs removed by your filters and jobs already delivered in monitor mode are free, and you can set a maximum cost per run.

If you also track Greenhouse, Lever, Ashby and other applicant tracking systems, the combined ATS Jobs API returns all of them in the same schema.

This article was written with the help of AI and checked against the tool's own test results. I build and maintain the Steadyrow scrapers on Apify.

How to get a daily alert of new jobs from any Greenhouse job board

Steadyrow — Sat, 24 Oct 2026 08:52:57 +0000

Many tech companies host their careers page on Greenhouse. If you track a list of companies — for a job board, a recruiting pipeline, or your own job search — checking each careers page by hand gets old fast. This post shows how to pull every open job from a Greenhouse board as JSON, and how to get only the new ones every morning.

1. Find the board token

Open a job on the company's careers page and look at the URL:

https://job-boards.greenhouse.io/<token>/jobs/123

<token> (for example figma or stripe) identifies the board. Greenhouse exposes a public Job Board API for each board — the same JSON feed the careers page itself uses — so no login or browser is needed.

2. Pull all open jobs

With the Greenhouse Jobs Scraper on Apify, the input is just a list of boards plus optional filters:

{
  "boards": ["figma", "stripe"],
  "keywords": ["engineer", "data"],
  "locations": ["United States", "Remote"],
  "postedWithinDays": 30
}

Each job comes back in one flat schema: title, department, locations, remote flag, posting date, pay range (when the posting publishes one), description and apply link. No recruiter names or contacts are collected.

3. Get only new jobs every day

Turn on Monitor mode and save the input as an Apify task.
Add a schedule, for example every day at 07:00.
The first run returns all matching jobs; every later run returns only jobs that were not delivered before.

You can then connect the dataset to Slack, Google Sheets or a webhook with Apify's built-in integrations.

Cost

Pricing is pay per event: $1 per 1,000 jobs plus $0.002 per run. Jobs dropped by your filters or already delivered in monitor mode are not charged. A daily monitor on 20 boards that finds 30 new jobs costs about $0.03 per day.

Other ATSs

If your list also includes Lever, Ashby, Workday or SmartRecruiters companies, the combined ATS Jobs API handles them in one run with the same output schema.

This article was written with the help of AI and checked against the tool's own test results. I build and maintain the Steadyrow scrapers on Apify.