Extract job listings data from LinkedIn and pipe into Make automatically
Navigate to the LinkedIn Job Listings scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".
Paste the LinkedIn URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.
Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.
When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 27 fields like url, job_posting_id, job_title, company_name. Route the data to any downstream app — CRMs, databases, email tools, and more.
Cost per record
1 credit
Output fields
27 fields
Destination
Make
Preview the data you'll receive — 5 sample records
27 fields returned per record
The job posting's web link on LinkedIn (100.00% fill rate)
Unique identifier for each job listing (100.00% fill rate)
Title of the advertised job position (99.70% fill rate)
Name of the hiring company (99.35% fill rate)
Unique identifier for each company (99.35% fill rate)
Geographic location of the job (99.70% fill rate)
Brief overview of job responsibilities (99.70% fill rate)
Seniority level of the position (99.70% fill rate)
Specific department or function of the job (98.35% fill rate)
Type of employment offered (99.70% fill rate)
Industries associated with the job (99.50% fill rate)
Salary range for the position (13.27% fill rate)
LinkedIn profile link of the hiring company (99.35% fill rate)
Timestamp for when the job was posted (99.70% fill rate)
Number of applicants for the job (100.00% fill rate)
Discovery input values (99.51% fill rate)
Sub-fields
keywordTextSearch keywordlocationTextSearch locationtime_rangeTextTime range filter for job searchselective_searchBooleanWhether selective search is enabledremoteTextRemote work filterjob_typeTextJob type filterexperience_levelTextExperience level filtercountryTextCountry filter for job searchLink or information for job application (18.96% fill rate)
2 letter country code (30.51% fill rate)
Standardized LinkedIn job title ID (96.78% fill rate)
The logo image of the company posted the job (99.35% fill rate)
Parsed date of the job posting time (99.70% fill rate)
Profile of the person who posted the job (99.24% fill rate)
Sub-fields
nameTextJob poster nametitleTextJob poster titleurlTextJob poster profile URLWhether a user can still apply for this job (99.65% fill rate)
The job description as it appears in LinkedIn (99.70% fill rate)
Structured base pay range with currency and pay period (99.24% fill rate)
Sub-fields
min_amountNumberMinimum salary amountmax_amountNumberMaximum salary amountcurrencyTextSalary currencypayment_periodTextSalary payment period (yearly, monthly, etc.)Employer-provided pay standards or notes (13.27% fill rate)
Does it have easy apply (99.51% fill rate)
Common questions about How to Scrape LinkedIn Job Listings into Make
Start extracting linkedin job listings data and pipe into Make in minutes.