Linkedin Jobs Scraper

Scrape Linkedin jobs search results with full job details and optionally details of companies for each job.

Provide either:

1. A LinkedIn jobs search URL — go to linkedin jobs search page on incognito window, apply filters, copy the full URL from the address bar; or
2. AI search filters in the actor input (keywords, location, date posted, company IDs, under 10 applicants, etc.) — used only when the URLs list is empty (if URLs are provided, filters are ignored)

Supported job search filters

Filters come from a pasted LinkedIn jobs search URL or from the structured AI search filter fields in the input.

Update: Since Aug 2026 LinkedIn rolled out new AI powered job search which only supports a few URL filters: Date posted (f_TPR), Company (f_C), Easy apply (f_AL), and Under 10 applicants (f_EA). Old search filters like Experience level, job type, etc are no longer available seperately and LinkedIn recommends mentioning these filters in the search query itself. Read more about that here. We added Auto convert to AI search option to add backward compatibility for old search URLs. When Auto convert to AI search is enabled (default): discontinued filters are converted into natural-language and appended to search keywords in attempt to improve accuracy, But we can't guarantee that this 100% works.

Kept as URL filters

• f_TPR / f_TP: Date posted
• f_C: Company
• f_AL: Easy apply
• f_EA: Under 10 applicants
• keywords, location, geoId, distance

Converted into search terms (backward compatible)

• f_E: Experience level
• f_JT: Job type → e.g.
• f_WT / f_WRA: Workplace / remote

Not convertible (LinkedIn IDs with no public label in the URL): f_I (industry), f_F (function), f_T (title), f_PP, and similar. Prefer describing those in the search keywords yourself.

Information provided by the job scraper

📝 Field	Description
🆔 id	Unique job identifier
🔗 link	Direct URL to the LinkedIn job posting
🏷️ title	Job title
🏢 companyName	Company name posting the job
🔗 companyLinkedinUrl	LinkedIn URL of the company
🖼️ companyLogo	Logo image URL of the company
🌍 location	Job location
💰 salaryInfo	Salary information if available
📅 postedAt	Date when the job was posted
🎁 benefits	Key job benefits (e.g., "Actively Hiring")
📝 descriptionHtml	Job description in HTML format
🧑‍💼 applicantsCount	Number of applicants (if shown)
📃 descriptionText	Job description in plain text
🤝 jobPosterName	Name of the person who posted the job
🏷️ jobPosterTitle	Job poster’s LinkedIn title
🖼️ jobPosterPhoto	URL of job poster’s LinkedIn profile photo
🔗 jobPosterProfileUrl	LinkedIn profile URL of the job poster
🎖️ seniorityLevel	Required seniority level (e.g., Associate, Director)
📝 employmentType	Employment type (e.g., Full-time, Contract)
🛠️ jobFunction	Department or main job function
🏭 industries	Industries of the job
🏢 companyDescription	Description about the company
🌏 companyWebsite	Company's main website
👥 companyEmployeesCount	Number of employees at the company
📊 salaryInsights	Available salary insights if enabled (may include compensation breakdown)
🔎 applyMethod	Details about the apply process or method, if captured
⏰ expireAt	Date/time when the job post is expected to expire (if available)
🏠 workRemoteAllowed	Whether remote work is allowed
🏢 workplaceTypes	Types of workplace arrangements possible (on-site, remote, hybrid)
📆 postedAtTimestamp	Timestamp (in ms/ISO) of when posted, if available
⭐ insights	Array of extra job insight texts provided by LinkedIn

Sample data

You can get the output data in any format of your preference.

Here is the sample output of this actor in json format:

(This might be slightly outdated. We recommend running the actor once to confirm latest data structure)

{
	"id": "3692563200",
	"link": "https://www.linkedin.com/jobs/view/english-data-labeling-analyst-at-facebook-3692563200?refId=WG865nttvc0AIFSWNZZS8w%3D%3D&trackingId=wcG3vxpHJfGtFUkaaMVelQ%3D%3D&position=1&pageNum=0&trk=public_jobs_jserp-result_search-card",
	"title": "English Data Labeling Analyst",
	"companyName": "Facebook",
	"companyLinkedinUrl": "https://www.linkedin.com/company/facebook?trk=public_jobs_jserp-result_job-search-card-subtitle",
	"companyLogo": "https://media.licdn.com/dms/image/C4E0BAQHi-wrXiQcbxw/company-logo_100_100/0/1635988509026?e=2147483647&v=beta&t=pKAh1a653MsJvWqrqxSunoCVUALyq29eXX1oqobspnE",
	"location": "Los Angeles Metropolitan Area",
	"salaryInfo": [
		"$17.00",
		"$19.00"
	],
	"postedAt": "2023-08-16",
	"benefits": [
		"Actively Hiring"
	],
	"descriptionHtml": "<p>APPROVED REMOTE LOCATIONS:</p><p>Los Angeles, CA, San Fransisco Bay Area, CA, San Diego, CA, New York, NY, Denver, CO, Houston, TX, Seattle, WA.</p><p><br></p><p>Summary:</p><p>The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.</p><p><br></p><p>Job Responsibilities:</p><p>• Create and modify data labels ensuring compliance to all regulatory and legal requirements.</p><p>• Maintain batch records, room logs, product travelers, and inventory records.</p><p>• Label and analyze large data sets to inform product decisions.</p><p>• Asses data quality.</p><p><br></p><p>Skills:</p><p>• Ability to identify trends within large data sets.</p><p>• Excellent communication skills, verbal and written.</p><p>• Problem solving skills.</p><p>• Team oriented with attention for detail.</p><p><br></p><p>Education/Experience:</p><ul><li>• Bachelors degree in related field.</li></ul>",
	"applicantsCount": "200",
	"applyUrl": "",
	"descriptionText": "APPROVED REMOTE LOCATIONS:Los Angeles, CA, San Fransisco Bay Area, CA, San Diego, CA, New York, NY, Denver, CO, Houston, TX, Seattle, WA.Summary:The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems. The typical data labeling analyst will have experience in data quality assurance.Job Responsibilities:• Create and modify data labels ensuring compliance to all regulatory and legal requirements.• Maintain batch records, room logs, product travelers, and inventory records.• Label and analyze large data sets to inform product decisions.• Asses data quality.Skills:• Ability to identify trends within large data sets.• Excellent communication skills, verbal and written.• Problem solving skills.• Team oriented with attention for detail.Education/Experience:• Bachelors degree in related field.",
	"jobPosterName": "Andrea Cowan",
	"jobPosterTitle": "Technical Recruiter at Meta",
	"jobPosterPhoto": "https://media.licdn.com/dms/image/C5603AQErv53vemaq_A/profile-displayphoto-shrink_100_100/0/1657753132661?e=1699488000&v=beta&t=5R1WgyX-TbL6qhhsntBeR5qmjKdTL5G2l2KtroVTntM",
	"jobPosterProfileUrl": "https://ca.linkedin.com/in/andrea-cowan-458b5423b",
	"seniorityLevel": "Associate",
	"employmentType": "Contract",
	"jobFunction": "Other",
	"industries": "Retail Office Equipment",
	"companyDescription": "The Facebook company is now Meta. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. \n\nWe want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:\n\n• Start with an open mind. Whether you agree or disagree, engage with empathy.\n• Comments violating our Community Standards will be removed or hidden. So please treat everybody with respect. \n• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.\n• Our moderators are here to uphold these guidelines for the benefit of everyone, every day. \n• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).\n\nFor a full listing of our jobs, visit http://www.facebookcareers.com ",
	"companyWebsite": "https://www.meta.com",
	"companyEmployeesCount": 36275
}

How to scrape more than 1000 Linkedin jobs per search

Linkedin limits number of jobs per search to 1000 even though total number of jobs matching the search are far more than that. To overcome this limit you can enable "Split search urls by location" feature.

Just provide a target country and the scraper will generate multiple search urls with same filters but targeting different cities in the country. It will also ignore duplicate jobs

How to scrape new jobs every day automatically

On Linkedin jobs search page, Select date filter (By default it is set to "Anytime") to "Last 24 hours" and fill in other required filters and copy the search URL from address bar

Then schedule this actor to run daily with copied jobs search URL as input. You don't need to generate the search URL everyday as Linkedin knows from the search url that it needs to apply last 24 hours filter

Related scrapers

For scraping jobs from other platforms, the Indeed Scraper extracts detailed job data from Indeed search with unlimited scraping at a fixed rental cost. To find contact information for companies posting jobs, use the Contact Info Finder for comprehensive contact details including verified email addresses.

Integrations

You can use Make to integrate Linkedin job scraper to any other SaaS platform by designing your own automation flows.

Linkedin jobs API

The actor stores results in a dataset. You can export data in various formats such as CSV, JSON, XLS, etc. You can scrape and access data on demand using API. For more information, Go to Linkedin jobs API integration page