How we build, what we learn, what we ship.

A working Python walkthrough for scraping Google Jobs results with requests and Playwright, the anti-bot and legal caveats nobody mentions, and how to skip all of it with one normalized API call.

A real Python walkthrough of LinkedIn's guest jobs endpoint with requests and BeautifulSoup - parsing cards, pulling job detail, and why it breaks in production. Then the API where LinkedIn is the main source.

The complete LinkedIn industry taxonomy - all 434 V2 industries mapped to their numeric codes, grouped by top-level category - plus what the codes are and how they relate to job and company data.

The standard corporate ladder from intern to C-level, what each level actually means, how it differs across engineering, sales, finance, and healthcare, and how it maps to normalized job-posting seniority.

A build-it integration guide. Get a key, make your first call, learn the filters that matter (title, country, remote, posted-after), wire it into your app with pagination, and keep results fresh.

How to power a job board with an API instead of a scraper farm. The data problem behind every job board, the listing and search pages in code, expiry handling, and the apply-out model.

Scrapers, ATS APIs, aggregator wrappers, and bulk-data vendors all sell job postings data - at wildly different price, freshness, and coverage. A buyer's-eye comparison of the seven options, and how to pick.

A job scraper is easy to demo and expensive to keep alive - anti-bot, proxies, changing HTML, dedup, and a 2am pager. Here's the honest build-vs-buy math, by source, and when an API wins.

Connect Claude, Cursor, or any MCP client to JobsPipe with your API key and search 30+ job sources from inside your agent. How it works, four use cases, and a one-line setup.