Northbell

Scrapers for public data that keeps changing: company headcounts, job postings and their pay, app ranks and ratings, video and channel numbers. Each Actor returns clean JSON, and on the next run what changed — so a schedule becomes a history you own.

• LinkedIn Company Scraper with Headcount Growth — industry, website, HQ and the real employee count; run it again for growth per month. Plus the 10 similar companies LinkedIn lists. Takes LinkedIn URLs, websites (stripe.com) or names.
• LinkedIn Salary Scraper — jobs with the advertised pay as numbers (min, max, currency, yearly), read from the description and from LinkedIn's own pay box. Filter by pay.
• LinkedIn Jobs by Company — every open role at the companies you list, and which roles opened or closed since your last run.
• LinkedIn Jobs with Applicant Count — search results with how many people applied.
• Free LinkedIn Job Details — paste a job URL, get JSON.
• App Store Rank & Rating Watch — daily keyword ranks, and an alert when new ratings turn against you.

Also: Google Play and Shopify app reviews, YouTube channel growth and search ranks, and 40+ job boards around the world.

No login. Every Actor reads public pages, or the data those pages load in your browser, over plain HTTP. No accounts, no headless browsers.

Changes, not just snapshots. Rows carry rank changes, new items and growth since your last run.

Numbers say how sure they are. Where a figure is estimated (growth per month, a rating trend), the row says whether it is reliable yet.

Failures are visible. If something cannot be read, you get an error row that says why. Error rows are never charged.

No personal data fields. No names of reviewers, commenters or applicants, and no email or phone-number fields. Company, app-developer and channel names stay: they are what the data is about.

Something broken? Open an issue on the Actor — I read them.