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Richest Linkedin Job Scraper

Pricing

Pay per usage

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Richest Linkedin Job Scraper

Richest Linkedin Job Scraper

After trying 50+ LinkedIn scrapers and hitting the same walls — rate limits, missing fields, slow sequential runs, Bad Search Results — I built this from scratch. Scrapes title, location, employees count, followers, skills, workplace type, experience level, date posted & applicant count. Parallel.

Pricing

Pay per usage

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Developer

Abhishek Jaiswal

Abhishek Jaiswal

Maintained by Community

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0

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9

Total users

5

Monthly active users

9 days ago

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LinkedIn Job Scraper

Scrape LinkedIn job listings without an API key. Search by job title, location, experience level, workplace type, and more — results are saved directly to your Apify dataset.


What it does

  • Searches LinkedIn's public job listings for one or more job titles
  • Runs all titles concurrently for fast results
  • Optionally fetches full job detail pages for rich metadata (description, skills, applicant count, hiring manager)
  • Optionally fetches company pages to enrich results with follower count and employee count
  • Filters results by applicant count, workplace type, experience level, industry, and more
  • No LinkedIn account or API key required

Output

Each job result is a JSON object with the following fields:

FieldDescription
job_idLinkedIn internal job ID
titleJob title
companyCompany name
company_linkedin_urlCompany LinkedIn profile URL
locationJob location text
job_urlDirect link to the LinkedIn job posting
posted_dateISO date when the job was posted
posted_textHuman-readable posting time (e.g. "2 days ago")
salarySalary range if listed
easy_applyWhether LinkedIn Easy Apply is available
search_titleWhich input title matched this job
descriptionFull job description (requires fetch_details: true)
experience_requiredExtracted years of experience requirement (e.g. "3-5 years")
seniority_levele.g. "Mid-Senior level"
employment_typee.g. "Full-time"
job_functione.g. "Engineering"
industriesIndustry category from LinkedIn
workplace_type"Remote", "Hybrid", or "On-site"
applicant_countNumber of applicants (if shown by LinkedIn)
skillsList of skills extracted from the job description
job_posterObject with name, title, and linkedin_url of the hiring manager
company_followersLinkedIn follower count of the hiring company (e.g. "1,234,567") (requires fetch_company_details: true)
company_employee_countNumber of employees on LinkedIn (e.g. "10,001+" or "51-200") (requires fetch_company_details: true)

Fields from description onwards are only populated when Fetch Full Job Details is enabled. company_followers and company_employee_count are only populated when Fetch Company Details is enabled.


Input parameters

ParameterTypeDefaultDescription
titlesstring[]["Software Engineer"]One or more job titles to search. Each title runs as a separate search.
locationstring"United States"Country or city. Use "Worldwide" or "Remote" for global results.
countinteger25Number of jobs to return per title. Max ~500.
date_postedstring"week"Recency filter: "24h", "week", "month", or "any"
sort_bystring"recent"Sort order: "recent" (newest first) or "relevant"

Filters

ParameterTypeDefaultDescription
job_typestring[][]Workplace type: "remote", "hybrid", "onsite". Leave empty for all.
experience_levelstring[][]Seniority: "internship", "entry", "mid", "senior", "director", "executive". Leave empty for all.
easy_applybooleanfalseOnly return jobs with LinkedIn Easy Apply.
under_10_applicantsbooleanfalseOnly return jobs with fewer than 10 applicants.
company_idsstring[][]Filter by specific LinkedIn company IDs (found in the company URL).
industrystring""Filter by industry: "technology", "finance", "healthcare", "education", "retail", "manufacturing", "consulting", "media", "government". Leave empty for all.

Post-Fetch Filters

These filters are applied after scraping, based on data from the job detail page.

ParameterTypeDefaultDescription
min_applicantsintegernullOnly keep jobs with at least this many applicants.
max_applicantsintegernullOnly keep jobs with at most this many applicants.

Advanced

ParameterTypeDefaultDescription
fetch_detailsbooleantrueFetch individual job pages for full description, skills, applicant count, and hiring manager info. Slower but much richer output.
fetch_company_detailsbooleanfalseFetch each unique company's LinkedIn page to get follower count and employee count. Adds one extra request per unique company in the results.
proxystringnullOptional proxy URL. Format: http://user:pass@host:port

Example input

{
"titles": ["AI Engineer", "ML Engineer"],
"location": "India",
"job_type": ["remote", "hybrid"],
"experience_level": ["mid", "senior"],
"date_posted": "week",
"sort_by": "recent",
"easy_apply": false,
"under_10_applicants": false,
"count": 50,
"fetch_details": true,
"fetch_company_details": false,
"min_applicants": null,
"max_applicants": 300,
"company_ids": [],
"industry": "technology",
"proxy": null
}

Supported locations

Common location values and their behavior:

InputResolves to
"India"India
"United States"United States
"United Kingdom"United Kingdom
"Canada"Canada
"Australia"Australia
"Germany"Germany
"Singapore"Singapore
"UAE" or "Dubai"UAE / Dubai
"Remote"LinkedIn Remote geo filter
"Worldwide" or "Anywhere"Global (no geo filter)

Any other city or country name can be typed freely — it will be passed as a text search to LinkedIn.


Tips

  • Multiple titles: Add several titles (e.g. ["Data Scientist", "ML Engineer", "AI Engineer"]) to cast a wider net in one run.
  • Finding low-competition jobs: Enable under_10_applicants or set max_applicants to a small number like 50.
  • Speed vs. richness: Disable fetch_details to run much faster with basic card data only. Enable it to get descriptions, skills, and hiring manager info.
  • Company insights: Enable fetch_company_details to enrich results with follower count and employee count. Only one request is made per unique company across all results, so the overhead is low when jobs span a small set of companies.
  • Company filter: To find jobs only at specific companies, look up their LinkedIn company ID from the URL (e.g. linkedin.com/company/google/ → search for Google's numeric ID) and pass it in company_ids.
  • Rate limits: The scraper includes built-in jitter delays and retry logic to avoid LinkedIn rate limits. If you hit persistent 429 errors, try adding a proxy.

Limitations

  • LinkedIn's public job API returns a maximum of ~500 jobs per search query.
  • Applicant counts, salary, and hiring manager info are only shown when LinkedIn includes them — not all job postings have this data.
  • LinkedIn may occasionally return fewer results than requested for niche searches.
  • This actor uses LinkedIn's public guest API and does not require login. It does not scrape private or authenticated content.