Apify·LinkedIn

🔥 LinkedIn Jobs Scraper

/bebity/linkedin-jobs-scraperasync$0.0032 / result

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! Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input

titlesarray
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.
locationsarray
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).
rowsinteger
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. (default 0)
companyNamearray
Restrict to specific companies by name (e.g. Google, NASA).
companyIdarray
Restrict to specific companies by numeric LinkedIn id (e.g. Facebook: 76987811, Uber: 1815218). Numbers only.
companyUrlsarray
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 sc
publishedAtstring
How recent the posting must be. (default "")
, r2592000, r604800, r86400
easyApplyboolean
Only return jobs that offer LinkedIn Easy Apply. (default false)
under10Applicantsboolean
Only return jobs with fewer than 10 applicants — less-competitive roles. (default false)
workTypesarray
On-site, Remote and/or Hybrid. Pick one or more to match any of them.
contractTypesarray
Full-time, Part-time, Contract, Temporary, Internship or Volunteer. Pick one or more to match any of them.
experienceLevelsarray
Internship → Director. Pick one or more to match any of them.
industryarray
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.
startUrlsarray
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.
maxRowsPerUrlinteger
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. (default 0)
enrichCompanyboolean
Add an enriched profile to each job — company size, followers, industry, description and salary source, PLUS the hiring contact's headline and photo when the posting has one. 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 (default false)
enrichCompanyWebsiteboolean
Add each company's external website URL. Billed as its own premium add-on (it takes one extra lookup per company, fetched once and reused across that company's jobs). (default false)

Field	Type	Required	Description
titles	array	—	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.
locations	array	—	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).
rows	integer	—	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. (default 0)
companyName	array	—	Restrict to specific companies by name (e.g. Google, NASA).
companyId	array	—	Restrict to specific companies by numeric LinkedIn id (e.g. Facebook: 76987811, Uber: 1815218). Numbers only.
companyUrls	array	—	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 sc
publishedAt	string (, r2592000, r604800, r86400)	—	How recent the posting must be. (default "")
easyApply	boolean	—	Only return jobs that offer LinkedIn Easy Apply. (default false)
under10Applicants	boolean	—	Only return jobs with fewer than 10 applicants — less-competitive roles. (default false)
workTypes	array	—	On-site, Remote and/or Hybrid. Pick one or more to match any of them.
contractTypes	array	—	Full-time, Part-time, Contract, Temporary, Internship or Volunteer. Pick one or more to match any of them.
experienceLevels	array	—	Internship → Director. Pick one or more to match any of them.
industry	array	—	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.
startUrls	array	—	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.
maxRowsPerUrl	integer	—	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. (default 0)
enrichCompany	boolean	—	Add an enriched profile to each job — company size, followers, industry, description and salary source, PLUS the hiring contact's headline and photo when the posting has one. 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 (default false)
enrichCompanyWebsite	boolean	—	Add each company's external website URL. Billed as its own premium add-on (it takes one extra lookup per company, fetched once and reused across that company's jobs). (default false)

Run it

curl -s https://sooma.dev/v1/run \ -H "Authorization: Bearer $SOOMA_API_KEY" \ -H "Content-Type: application/json" \ -d '{"provider":"apify","endpoint":"/bebity/linkedin-jobs-scraper","input":{}}'

Or ask your agent: it will call inspect for this schema and run it over MCP.