
How to Export LinkedIn Jobs by Keyword and Location
Search LinkedIn jobs across keyword-location pairs, choose enrichment depth, and compare results while checking global caps and truncation.
200+ ready-to-run scrapers for marketplaces, job boards, directories and news — maintained daily, pay per result. Soon in Google Sheets, one formula per site.
Five scrapers, one extraction engine. Built to get past LinkedIn's 1,000-result ceiling instead of stopping at it.
№ 01Search by keyword and location across multiple queries at once, deduplicated on job ID.
№ 02Every open role at named companies, worldwide, with the full company profile on every row.
№ 03Watch searches on a schedule and get back only the postings you have not seen before.
№ 04Deep detail on specific postings — parsed salary, seniority, applicant count, apply type.
№ 05Full firmographics, exact headcount, live open-role counts, and similar companies.
What each one extracts, what it costs, and the LinkedIn limits it works around.
Ready-made scrapers across the verticals that actually move the needle — from news monitoring to ecommerce intelligence.
Track competitor pricing, monitor stock levels, and scrape product catalogs across every major marketplace.



The most common things teams ask before they sign on. If yours isn't here, the booking link below works just as well.
Ready-to-run web scrapers on the Apify Store — pay per result, no subscription — and, coming soon, a Google Sheets add-on that puts the same data behind one formula per site.
Open any scraper on Apify, try it with the free credits every Apify account gets, and run it from the console, the API, or a schedule. No call, no setup.
Marketplaces, classifieds, job boards, review sites, business directories and news — 200+ scrapers and counting. If a site is missing, ask on the Apify Issues tab of the closest actor.
No. Proxies, anti-bot measures, scheduling, retries, and monitoring run on Apify. You just use the data.
In-house scrapers break often and drain engineering time. These are maintained daily against the live sites, so they stay reliable while you focus on the data.
Tactics, teardowns, and field-tested playbooks from the team that builds scrapers for a living.