LinkedIn Jobs Scraper
Pricing
from $0.60 / 1,000 job delivereds
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LinkedIn Jobs Scraper
Export LinkedIn jobs with company enrichment, CV keyword matching, applicant counts and annualised salary. No login, no cookie, no proxy needed.
LinkedIn Jobs Scraper
Pricing
from $0.60 / 1,000 job delivereds
Export LinkedIn jobs with company enrichment, CV keyword matching, applicant counts and annualised salary. No login, no cookie, no proxy needed.
How recently the job was posted. Use day, week or month to restrict to that window, or any to return everything LinkedIn still lists.
Where the work is done, as LinkedIn classifies it: onsite, remote or hybrid. Use any to include all three.
The contract basis of the role, for example full-time, contract or internship. Use any to include every basis LinkedIn lists.
Seniority band as LinkedIn defines it, from entry and associate up to director and executive. Use any to include every level.
Result ordering. relevance uses LinkedIn own ranking, date returns the most recently posted first, which is what you want when monitoring for new listings.
Hard cap. LinkedIn serves at most 1000 per search. Each job is one billable result.
Keep only jobs from these employers. Company suffixes and case are ignored.
Employer names to drop from the results, matched on the company name as LinkedIn displays it. Useful for filtering out staffing agencies or your own listings.
Drop listings posted by agencies rather than the employer. Useful because LinkedIn carries far more direct employer posts than agency ones.
Fetch each company page for employee count, followers, industry, website and location. Costs one extra request per company, cached within a run.
Only companies with at least this many employees. Enables company enrichment.
Only companies with at least this many followers.
Only companies with at most this many followers.
Drop jobs whose title contains any of these words.
Only jobs with an exact applicant count at or below this. Jobs showing "first 25" are excluded because their real count is unknown.
Only jobs that disclose a salary or an NHS pay band. Enables detail fetching.
Paste your skills. Each job is scored on how many appear in the title and description, returned as keywordMatchScore with matched and unmatched lists. Enables detail fetching.
Drop jobs scoring below this percentage against your keywords.
Fetch every job detail page for seniority, employment type, function, industries, description, applicant count and apply type. Turned on automatically when a filter needs it.
Optional. The guest endpoints need no proxy, but one helps at high volume from a single IP.
Uses LinkedIn own low-competition filter, applied server side so it costs no extra requests. Note LinkedIn does not reveal exact counts below 25, so results show "first 25" rather than the true figure.
Only jobs you can apply to without leaving LinkedIn. Applied server side by LinkedIn.
Keep only jobs whose LinkedIn job function matches, for example Engineering or Finance.
Keep only jobs in these industries, named as LinkedIn labels them. Leave empty to accept every industry.
Drop jobs in these industries, named as LinkedIn labels them. Applied after the include list, so an industry named in both is excluded.
Minimum annual equivalent pay. Hourly and daily rates are annualised first so they are compared fairly.
Upper bound on pay, as an annual equivalent in the currency the job advertises. Jobs that publish no salary are kept, because most listings omit it.
How many detail and company pages to fetch at once. Does not change how many requests are made, only how long the run takes.
