Apify·LinkedIn

Search LinkedIn Profiles

/harvestapi/linkedin-profile-searchasync$0.134 / result

Search for LinkedIn profiles with filters and extract detailed profile information, including work experience, education history, location and more. No cookies or account required. Runs as an Apify actor (20–120 s); results are dataset rows.

Charged per returned row plus the flat fee.

Input

profileScraperModestring
Choose the mode for scraping LinkedIn profiles. The Short mode provides basic information, while the Full mode includes full detailed profile data. (default "Full")
Short, Full, Full + email search
searchQuerystring
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)
maxItemsinteger
Maximum number of profiles to scrape. The actor will stop scraping when this limit is reached.
locationsarray
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 sear
currentCompaniesarray
Filter Profiles by these LinkedIn companies. Provide full LinkedIn URLs
pastCompaniesarray
Filter Profiles by these LinkedIn past companies. Provide full LinkedIn URLs
schoolsarray
Filter Profiles by these LinkedIn schools. Example: `Stanford University`.
currentJobTitlesarray
Filter Profiles by these LinkedIn current job titles. Example: `Software Engineer`.
pastJobTitlesarray
Filter Profiles by these LinkedIn past job titles. Example: `Software Engineer`.
yearsOfExperienceIdsarray
Filter Profiles by these LinkedIn years of experience IDs. Example: `3` for '3 to 5 years'.
yearsAtCurrentCompanyIdsarray
Filter Profiles by these LinkedIn years at current company IDs. Example: `3` for '3 to 5 years'.
seniorityLevelIdsarray
Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.
functionIdsarray
Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.
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`
firstNamesarray
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
lastNamesarray
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
profileLanguagesarray
Filter Profiles by these LinkedIn profile languages.
companyHeadcountarray
Filter Profiles by their current company's headcount.
companyHeadquarterLocationsarray
Filter Profiles by their current company's headquarter location.
recentlyChangedJobsboolean
Filter Profiles to only those who have changed jobs in the last 90 days.
recentlyPostedOnLinkedInboolean
Filter Profiles to only those who have posted on LinkedIn in the last 30 days.
excludeLocationsarray
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 sea
excludeCurrentCompaniesarray
Exclude Profiles by these LinkedIn companies. Provide full LinkedIn URLs
excludePastCompaniesarray
Exclude Profiles by these LinkedIn past companies. Provide full LinkedIn URLs
excludeSchoolsarray
Exclude Profiles by these LinkedIn schools. Example: `Stanford University`.
excludeCurrentJobTitlesarray
Exclude Profiles by these LinkedIn current job titles. Example: `Software Engineer`.
excludePastJobTitlesarray
Exclude Profiles by these LinkedIn past job titles. Example: `Software Engineer`.
excludeIndustryIdsarray
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`
excludeSeniorityLevelIdsarray
Filter Profiles by these LinkedIn seniority level IDs. Example: `120` for 'Senior'.
excludeFunctionIdsarray
Filter Profiles by these LinkedIn function IDs. Example: `8` for 'Engineering'.
excludeCompanyHeadquarterLocationsarray
Exclude Profiles by their current company's headquarter location.
startPageinteger
The page number to start scraping from. (default 1)
takePagesinteger
The number of search pages to scrape. Each page contains 25 profiles.
autoQuerySegmentationboolean
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.
autoQuerySegmentationLevelsarray
Select the segmentation levels to be used for automatic query segmentation.
autoQuerySegmentationTargetCountriesarray
Select the target country to focus the automatic query segmentation. This helps in narrowing down the search results to a specific geographic location.
profileDeduplicationModestring
Choose how the actor should handle deduplication of LinkedIn profiles across multiple runs using your MongoDB database.
off, insert_ids, insert_profiles, read_only
mongoDbConnectionStringstring
Your MongoDB connection string to the database where the actor will store and check scraped profile IDs for deduplication. Example: `mongodb+srv://:@cluster0.mongodb.net`
mongoDbDatabaseNamestring
The name of the MongoDB database where the actor will store and check scraped profile IDs for deduplication. Default name is: `harvestapi`
postFilteringMongoDbQueryobject
A MongoDB query in JSON format to further filter the scraped profiles before saving them to the dataset.
postFilteringMongoDbAggregationarray
A MongoDB aggregation pipeline in JSON format to further filter the scraped profiles before saving them to the dataset.

Field	Type	Required	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 sear
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 sea
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://:@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.
postFilteringMongoDbAggregation	array	—	A MongoDB aggregation pipeline in JSON format to further filter the scraped profiles before saving them to the dataset.

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-profile-search","input":{}}'

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