Search LinkedIn Profiles

Search for LinkedIn profiles with filters and extract detailed profile information, including work experience, education history, location and more. No cookies or account required.

liveverifiedasyncdegraded · 186ms~30s typical

linkedinpeopleprofilesleads

$0.0020

per result + $0.01 call

plus $0.001 platform fee per run

Usage-based actor: event charges passed through at cost plus 25%

Bring your own Apify Store key: provider portion drops to $0.

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run apify /harvestapi/linkedin-profile-search for me.

Input

Field	Type	Description
profileScraperMode	string (Short \| Full \| Full + email search)	Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data. default "Full"
searchQuery	string	Query to search LinkedIn profiles. (e.g., `Founder`, `Marketing Manager`, `John Doe`). [The query supports search operators](https://www.linkedin.com/help/linkedin/answer/a524335)
maxItems	integer	Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached.
locations	array	Filter Profiles 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 `https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D` - we will use the first suggestion from the autocomplete popup when you type your location
currentCompanies	array	Filter Profiles by these LinkedIn companies. Provide full LinkedIn URLs
pastCompanies	array	Filter Profiles by these LinkedIn past companies. Provide full LinkedIn URLs
schools	array	Filter Profiles by these LinkedIn schools. Example: `Stanford University`.
currentJobTitles	array	Filter Profiles by these LinkedIn current job titles. Example: `Software Engineer`.
pastJobTitles	array	Filter Profiles by these LinkedIn past job titles. Example: `Software Engineer`.
yearsOfExperienceIds	array	Filter Profiles by these LinkedIn years of experience IDs. Example: `3` for '3 to 5 years'.
yearsAtCurrentCompanyIds	array	Filter Profiles by these LinkedIn years at current company IDs. Example: `3` for '3 to 5 years'.
seniorityLevelIds	array	Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.
functionIds	array	Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.
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`
firstNames	array	Filter Profiles by these LinkedIn first names. We recommend using another actor for searches by name: https://apify.com/harvestapi/linkedin-profile-search-by-name
lastNames	array	Filter Profiles by these LinkedIn last names. We recommend using another actor for searches by name: https://apify.com/harvestapi/linkedin-profile-search-by-name
profileLanguages	array	Filter Profiles by these LinkedIn profile languages.
companyHeadcount	array	Filter Profiles by their current company's headcount.
companyHeadquarterLocations	array	Filter Profiles by their current company's headquarter location.
recentlyChangedJobs	boolean	Filter Profiles to only those who have changed jobs in the last 90 days.
recentlyPostedOnLinkedIn	boolean	Filter Profiles to only those who have posted on LinkedIn in the last 30 days.
excludeLocations	array	Exclude Profiles 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 `https://www.linkedin.com/search/results/people/?geoUrn=%5B%22103644278%22%5D` - we will use the first suggestion from the autocomplete popup when you type your location
excludeCurrentCompanies	array	Exclude Profiles by these LinkedIn companies. Provide full LinkedIn URLs
excludePastCompanies	array	Exclude Profiles by these LinkedIn past companies. Provide full LinkedIn URLs
excludeSchools	array	Exclude Profiles by these LinkedIn schools. Example: `Stanford University`.
excludeCurrentJobTitles	array	Exclude Profiles by these LinkedIn current job titles. Example: `Software Engineer`.
excludePastJobTitles	array	Exclude Profiles by these LinkedIn past job titles. Example: `Software Engineer`.
excludeIndustryIds	array	Exclude 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`
excludeSeniorityLevelIds	array	Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.
excludeFunctionIds	array	Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.
excludeCompanyHeadquarterLocations	array	Exclude Profiles by their current company's headquarter location.
startPage	integer	The page number to start scraping from. default 1
takePages	integer	The number of search pages to scrape. Each page contains 25 profiles.
autoQuerySegmentation	boolean	Enable automatic query segmentation to split broad search queries into smaller segments based on LinkedIn filters. This helps in scraping a larger number of unique profiles without hitting LinkedIn's search limits.
autoQuerySegmentationLevels	array	Select the segmentation levels to be used for automatic query segmentation.
autoQuerySegmentationTargetCountries	array	Select the target country to focus the automatic query segmentation. This helps in narrowing down the search results to a specific geographic location.
profileDeduplicationMode	string (off \| insert_ids \| insert_profiles \| read_only)	Choose how the actor should handle deduplication of LinkedIn profiles across multiple runs using your MongoDB database.
mongoDbConnectionString	string	Your MongoDB connection string to the database where the actor will store and check scraped profile IDs for deduplication. Example: `mongodb+srv://<username>:<password>@cluster0.mongodb.net`
mongoDbDatabaseName	string	The name of the MongoDB database where the actor will store and check scraped profile IDs for deduplication. Default name is: `harvestapi`
postFilteringMongoDbQuery	object	A MongoDB query in JSON format to further filter the scraped profiles before saving them to the dataset.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"apify","endpoint":"/harvestapi/linkedin-profile-search","input":{"searchQuery":"head of growth","locations":["United States"],"maxItems":20},"wait":false}'

poll

curl "https://cracked-ai-pearl.vercel.app/v1/runs/<runId>?wait=30" -H "Authorization: Bearer ck_live_..."

cli

npx cracked-ai run -p apify -e /harvestapi/linkedin-profile-search -i '{"searchQuery":"head of growth","locations":["United States"],"maxItems":20}' -w 120

mcp

run_tool({ provider: "apify", endpoint: "/harvestapi/linkedin-profile-search", input: {"searchQuery":"head of growth","locations":["United States"],"maxItems":20}, wait: false })

Try it

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