⚡️Rapid Linkedin Jobs Scraper

🔥 $0.45/1K Jobs. Scrape LinkedIn Jobs without cookies 🍪. Extract job listings by keyword, company, city, or country. Get complete structured data including titles, descriptions, locations, salaries, e

liveasyncunknown~30s typical

jobsautomationdeveloper toolsrapidlinkedin

$0.00063

per result + $0.005 call

plus $0.001 platform fee per run

Actor charges $0.0005 per result; Cracked adds 25% plus a $0.005 call fee

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 /worldunboxer/rapid-linkedin-scraper for me.

Input

Field	Type	Description
jobs_titles	array	Job titles to search for (e.g., 'Software Engineer', 'Data Scientist'). The scraper runs a search for each title and merges the results.
job_title	string	Legacy field, kept for backward compatibility with existing integrations. Its value is combined with 'Job Titles' above (not overridden by it) — every distinct title from both fields is searched. This field will be removed in a future version; migrate to 'Job Titles'.
location	string	Enter a broad location (e.g., 'Worldwide', 'Europe', 'Canada') or a full search string (e.g., 'San Francisco, CA'). For multiple specific cities, enter the country here and list the cities below.
cities	array	Optional. List specific cities to search (e.g., 'London', 'Manchester'). The scraper will loop through each. Note: Set the 'Location' field to the relevant country to ensure accurate city matching.
jobs_entries	integer	Enter the number of jobs you want to scrape. default 1000
company_names	array	Only search for these companies
experience	string (Intern \| Assistant \| Junior \| Mid-Senior \| Director \| Executive)	Select job experience level
employment_type	string (Full-time \| Part-time \| Contract \| Temporary \| Volunteer \| Internship)	Select Job type you need.
work_arrangement	string (On-site \| Remote \| Hybrid)	Select what type of work schedule you need.
posted_within	string (Any Time \| Past 24 hours \| Past Week \| Past Month)	Select on basis of job posting time.
easy_apply	boolean	Filter for jobs with simplified application default false
start_jobs	integer	Legacy field. No longer supported and has no effect on scraping results.
experience_level	string	Legacy experience level field. Migrate to `experience` with human readable values.
job_type	string	Legacy job type field. Migrate to `employment_type` with human readable values.
work_schedule	string	Legacy work schedule field. Migrate to `work_arrangement` with human readable values.
job_post_time	string	Custom Job Post Time. Overrides the dropdown above. Enter custom time in seconds prefixed with 'r' (e.g., 'r86400' for 1 day, 'r172800' for 2 days).

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":"/worldunboxer/rapid-linkedin-scraper","input":{"location":"Worldwide","jobs_entries":1000},"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 /worldunboxer/rapid-linkedin-scraper -i '{"location":"Worldwide","jobs_entries":1000}' -w 120

mcp

run_tool({ provider: "apify", endpoint: "/worldunboxer/rapid-linkedin-scraper", input: {"location":"Worldwide","jobs_entries":1000}, wait: false })

Try it

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