Apify·LinkedIn

Search LinkedIn Jobs

/harvestapi/linkedin-job-searchasync$0.003 / result

Advanced LinkedIn Job Search Scraper. No cookies or account required. Concurrency + fast response times Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input

jobTitlesarray
Queries to provide to LinkedIn job search. [It supports boolean operators](https://www.linkedin.com/help/linkedin/answer/a524335). We will run the scraper once for each query. All filters below will be applied to each query.
locationsarray
Filter by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn search at `ht
maxItemsinteger
Maximum number of jobs to scrape per each job title and location input.
companyarray
Filter by these companies. Provide full URLs or company names to search in LinkedIn
workplaceTypearray
Select one or more applicable workplace types.
employmentTypearray
Select one or more applicable employment types.
experienceLevelarray
Select one or more applicable experience levels.
salaryarray
Filter by these salary ranges. Example: `100k+`
under10Applicantsboolean
Filter jobs with under 10 applicants.
easyApplyboolean
Filter jobs with LinkedIn easy apply option.
postedLimitstring
Filter jobs posted in the last hour, 24 hours, week or month.
1h, 24h, week, month
industryIdsarray
Filter Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `https://github.com/HarvestAPI/linkedin-industry-codes-v2/blob/main/linkedin_industry_code_v2_all_eng_with_header.csv`
sortBystring
Sort the results by date or relevance.
date, relevance
geoIdsarray
Filter Jobs by these LinkedIn geo IDs. Example: `103644278`.
pageinteger
Page number to start scraping from. Each page contains 25 jobs.
cookiestring
Your LinkedIn cookies. You can export them via the browser extension [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm/).
userAgentstring
User agent to use for scraping. Copy your User Agent from https://www.whatismybrowser.com/detect/what-is-my-user-agent/ and paste it here.
proxystring
Proxy URL to use for scraping. If not provided, the actor will use its default proxy. For safe scraping, we recommend you to find and provide a clean residential proxy.

Field	Type	Required	Description
jobTitles	array	—	Queries to provide to LinkedIn job search. [It supports boolean operators](https://www.linkedin.com/help/linkedin/answer/a524335). We will run the scraper once for each query. All filters below will be applied to each query.
locations	array	—	Filter by these LinkedIn locations. Example: `San Francisco`. LinkedIn does not always understand your text queries. For example for "UK" query it will apply "Ukraine" location, so you should use "United Kingdom" in this case. Try this out first in the location filter input of LinkedIn search at `ht
maxItems	integer	—	Maximum number of jobs to scrape per each job title and location input.
company	array	—	Filter by these companies. Provide full URLs or company names to search in LinkedIn
workplaceType	array	—	Select one or more applicable workplace types.
employmentType	array	—	Select one or more applicable employment types.
experienceLevel	array	—	Select one or more applicable experience levels.
salary	array	—	Filter by these salary ranges. Example: `100k+`
under10Applicants	boolean	—	Filter jobs with under 10 applicants.
easyApply	boolean	—	Filter jobs with LinkedIn easy apply option.
postedLimit	string (1h, 24h, week, month)	—	Filter jobs posted in the last hour, 24 hours, week or month.
industryIds	array	—	Filter Profiles by these LinkedIn industry IDs. Example: `4` for 'Software Development'. Full list: `https://github.com/HarvestAPI/linkedin-industry-codes-v2/blob/main/linkedin_industry_code_v2_all_eng_with_header.csv`
sortBy	string (date, relevance)	—	Sort the results by date or relevance.
geoIds	array	—	Filter Jobs by these LinkedIn geo IDs. Example: `103644278`.
page	integer	—	Page number to start scraping from. Each page contains 25 jobs.
cookie	string	—	Your LinkedIn cookies. You can export them via the browser extension [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm/).
userAgent	string	—	User agent to use for scraping. Copy your User Agent from https://www.whatismybrowser.com/detect/what-is-my-user-agent/ and paste it here.
proxy	string	—	Proxy URL to use for scraping. If not provided, the actor will use its default proxy. For safe scraping, we recommend you to find and provide a clean residential proxy.

Run it

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

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