LinkedIn Job Post Details Scraper (w/ Hiring Team & Skills)
Under maintenancePricing
from $18.53 / 1,000 results
LinkedIn Job Post Details Scraper (w/ Hiring Team & Skills)
Under maintenanceScrape detailed job posting data from LinkedIn. Input one or more job URLs and get back structured results including job details, salary, required skills, company info, and recruiter details - all in one dataset.
Pricing
from $18.53 / 1,000 results
Rating
0.0
(0)
Developer
RICEMAN
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
6 days ago
Last modified
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LinkedIn Job Scraper
Scrapes detailed job posting information from LinkedIn. Accepts one or more LinkedIn job post URLs and returns structured data for each posting.
Input
| Field | Type | Required | Description |
|---|---|---|---|
jobUrls | array<string> | ✅ | LinkedIn job post URLs. Each must start with https://www.linkedin.com/jobs. |
Example input
{"jobUrls": ["https://www.linkedin.com/jobs/view/4409974682/","https://www.linkedin.com/jobs/view/4416190208/"]}
Output
One dataset item is saved per URL. Successful items include the full job and company details; failed items include a scrape_error field explaining what went wrong.
Key output fields
| Field | Description |
|---|---|
job_title | Title of the job position |
job_description | Full job description text |
job_type | Employment type (Full-time, Part-time, etc.) |
job_location | Location of the role |
experience_level | Seniority level |
remote_allow | Whether remote work is permitted |
salary_display | Human-readable salary range |
salary_details | Structured salary object |
skills | Skills listed on the posting |
posted / expired | Posting and expiry timestamps |
company_name | Hiring company name |
hiring_team | Recruiter details (name, title, LinkedIn URL) |
scrape_error | Error message if the URL failed; null on success |
Notes
- URLs are validated before any scraping begins. The actor will throw immediately if any URL does not begin with
https://www.linkedin.com/jobs. - Failed URLs do not abort the run — they produce a dataset item with
scrape_errorset, so all other URLs still complete.