🔥 LinkedIn Jobs Scraper
Pricing
from $1.00 / 1,000 job results
ℹ️ Designed for both personal and professional use, simply enter your desired job title and location to receive a tailored list of job opportunities. Try it today!
Pricing
from $1.00 / 1,000 job results
Rating
4.3
(72)
Developer
Bebity
Maintained by CommunityActor stats
745
Bookmarked
38K
Total users
2K
Monthly active users
8.8 days
Issues response
5 days ago
Last modified
Categories
Share
What to search for (e.g. Web developer). Add several — each is searched separately (up to Results per search each) and every result is tagged with the term it came from (in scrapingInfo). Leave empty for a broad search.
Where to search (e.g. Paris, New York). Every title is crossed with every location — each title × location pair is its own search — and every result is tagged with the location it came from (in scrapingInfo).
How many jobs to return per search (up to 1000). Each job title × location is its own search. Set 0 (the default) for all available — every search runs to its last page. The whole run is also capped by the max items / cost limit you set on the run, so use that to bound the total.
Restrict to specific companies by name (e.g. Google, NASA).
Restrict to specific companies by numeric LinkedIn id (e.g. Facebook: 76987811, Uber: 1815218). Numbers only.
Filter the search to specific companies by their LinkedIn page URL (e.g. https://www.linkedin.com/company/openai/) — often easier than finding the numeric id. Combines with your title/location filters. A numeric /company/{id} URL is used directly; a name URL is resolved automatically. (To instead scrape every job of a company on its own, paste the company URL into Start URLs.)
How recent the posting must be.
Only return jobs that offer LinkedIn Easy Apply.
Only return jobs with fewer than 10 applicants — less-competitive roles.
On-site, Remote and/or Hybrid. Pick one or more to match any of them.
Full-time, Part-time, Contract, Temporary, Internship or Volunteer. Pick one or more to match any of them.
Internship → Director. Pick one or more to match any of them.
Filter by company industry — pick one or more from the list (no ids to look up). Combine several to match any of them. Filtered accurately on Linkedin’s side.
Paste LinkedIn job-search URLs (from the search page after applying filters), single job URLs, or a company page URL (e.g. https://www.linkedin.com/company/openai/) to scrape every job at that company. When provided, these drive the run and the search filters above are ignored.
Maximum results to collect from each pasted URL above. Set 0 (the default) for all available — each URL runs to its last page. Bound the total with the run's max items / cost limit.
Add each company's profile to its jobs: headcount, followers, industry, description, tagline, headquarters (structured), company type, founding year and the company's website. Read once per company from its public LinkedIn page and reused across that company's jobs. Turn it off for the fastest possible run.
Add the fields the listing card does not carry: the hiring contact's headline and photo, the salary source (employer-provided vs LinkedIn estimate), and the job's own signals — workplace type, job status (open/closed), exact posting timestamp, repost flag, verified-hiring badge and a structured location. It all comes from a single lookup, so it is one premium add-on (one charge), billed on top of the base rate only for the jobs it enriches. Leave off for the base rate.
