Jobs Scraper API: LinkedIn, Indeed & 30+ Job Boards (Deduped)
Pricing
$1.96 / 1,000 jobs
Search live jobs from LinkedIn, Indeed, Greenhouse, Lever, Workday and 30+ boards in one clean schema. Full descriptions, salaries in USD, seniority, visa and company-size filters, duplicates removed, and an "only new jobs" mode for schedules.
Jobs whose title contains any of these phrases, e.g. "python developer", "data engineer". Leave blank to match every title.
[ "python developer", "backend engineer"]Jobs whose description mentions any of these, e.g. a skill or technology: "django", "kubernetes".
[ "django", "postgresql"]Drop jobs whose title contains any of these words, e.g. "senior", "manager".
Drop jobs whose description contains any of these words.
Any of: entry_level, mid_level, senior, director, executive. Common words also work: "junior" and "intern" mean entry_level, "lead" and "manager" mean director. About half of postings do not state a level; tick "Include jobs with unknown values" to keep them.
[ "entry_level", "mid_level"]Any of: full-time, part-time, contract, temporary, internship.
[ "full-time"]Only jobs posted in the last N days. Recommended: broad searches are faster and cheaper with a recent window. Leave blank for any age.
For scheduled runs: return only postings JobsPipe discovered since this same search last ran, so you never pay twice for a job you already have. The first run returns the newest matches and remembers them.
ISO 3166-1 alpha-2 codes, e.g. "US", "GB", "DE". Leave blank for worldwide.
[ "US", "GB"]e.g. "Austin", "New York", "Bavaria", "WA". Metro names match their city ("Greater London" finds London) and a US state or Canadian province matches every spelling. Combine with a country code to avoid same-named places.
[ "Austin", "Seattle"]Finer than "Remote only": pick remote, hybrid or on-site. Jobs whose arrangement is unknown are dropped unless you tick "Include jobs with unknown values".
Only jobs whose posted salary reaches this annual USD amount (other currencies are converted). Jobs without a posted salary are dropped.
Drop postings that do not state pay. Postings without pay are skipped before billing.
Match the visa stance stated in the posting. Postings that say nothing are dropped.
Only jobs at companies whose name contains any of these, e.g. "stripe", "acme".
Drop jobs at companies whose name contains any of these, e.g. your own company or a competitor. Dropped jobs are not billed.
Hide postings from recruitment agencies and boards that republish other companies' jobs.
Only jobs at companies with at least this many employees.
Only jobs at companies with at most this many employees, e.g. 200 for startups.
Two-digit ISIC Rev.4 divisions, e.g. "62" software and IT services, "64" financial services, "86" healthcare.
[ "62"]Drop postings that are probably stale or evergreen rather than a live vacancy, judged by repost cadence, age and content. Unscored postings are kept.
When the same job (company, title and place) appears on several boards, keep only the first copy. Duplicates are removed before billing.
Keep postings that do not state their seniority, employment type or work arrangement when you filter on those fields. Without it such postings are dropped.
Only jobs with at most this many applicants so far. Applicant counts come from LinkedIn, which reports anything under 25 as 25, so use 25 or more. Jobs without a count are dropped.
Only postings that include a recruiter contact email.
Limit to specific boards. Job boards: linkedin, indeed, ycombinator, cvlibrary, resumelibrary, themuse, himalayas, remoteok, remotive, arbeitnow, jobicy, landingjobs, workingnomads. Company career sites (ATS): greenhouse, lever, ashby, workday, workable, smartrecruiters, recruitee, personio, breezy, jobscore, manatal, paylocity. Public employment services: eures, jobtech. A source on its own works for every board except linkedin and indeed, which are too large to search without a title, keyword or country. Leave blank for all.
[ "greenhouse", "lever"]Two-letter ISO 639-1 codes of the language the posting is written in, e.g. "en", "de".
[ "en"]