LinkedIn Jobs Scraper

Price for a 1000 jobs ≈ $0.7 using residential proxies.

Note: Due to limitations of LinkedIn’s public API, the maximum number of job postings that can be retrieved per search is 1,000. This means that for each keyword or URL you provide, the scraper will return up to 1,000 job listings.

The LinkedIn job scraper allows you to collect jobs in 2 ways:

1. By providing one or more start URLs, or
2. By entering keyword-based search queries.

You can use either method individually or combine both.

Input

The LinkedIn scraper's input schema is highly customizable and divided into three main sections:

🔗 URLs-Based Search

• startUrls: Add one or more LinkedIn Job Search URLs where the scraper will start crawling. The URLs can be constructed using the LinkedIn search engine, located at https://www.linkedin.com/jobs/search.

🗝️ Keyword-Based Search

• keywords: Define the list of job keyword for search (e.g., ["Software Engineer", "Data Scientist", ...]).
• location: Specify the job search location. For example, you want to look for jobs in a specific city.
• publishedAt: Limit job postings based on how recently they were published, in days.

⚙️ General Settings

These settings are applied for both type of search.

• saveOnlyUniqueItems: Prevent duplicate entries from being saved. The default is false.
• maxItems: Limit the total number of jobs to scrape. The Default is unlimited.

Output Sample

1[
2	{
3        "jobId": "4128577661",
4        "jobTitle": "Data Engineer (Snowflake Expert )",
5        "location": "Toronto, Ontario, Canada",
6        "postedTime": "6 days ago",
7        "publishedAt": "2025-01-18T00:00:00.000Z",
8        "jobUrl": "https://ca.linkedin.com/jobs/view/data-engineer-snowflake-expert-at-virtual-labs-it-consulting-4128577661?trk=public_jobs_topcard-title",
9        "companyName": "Virtual Labs IT Consulting",
10        "companyUrl": "https://ca.linkedin.com/company/virtuallabs?trk=public_jobs_topcard-org-name",
11        "jobDescription": "Need solid Snowflake DE.\n\nLocation – Toronto, Canada\n\n\n\nJD:\n\n\n\n7+ Years of experience as a snowflake Data Engineer on the projects of Data Warehousing,\nExperienced in Data Transformation from legacy system (Netezza, DB2, Oracle, SQL-server) to cloud DW-Snowflake & Data Modernization.\nStrongly skilled on Snowflake data warehouse, Snowsql, Airflow, Hive, Snow pipe, SQL developer, Big Data Analytics & cloud services like Hive.\n\n\nSkills\n\nSnowflake Data Warehousing\nPython\nSnowsql, Hive, Airflow.\nSnow pipe.\nData Warehousing and ETL\nJira, GitHub and ServiceNow.\nShow more Show less",
12        "applicationsCount": "",
13        "contractType": "Contract",
14        "experienceLevel": "Associate",
15        "workType": "Information Technology",
16        "sector": "IT Services and IT Consulting",
17        "salary": "",
18        "posterFullName": "Aamir Khan",
19        "posterProfileUrl": "https://ca.linkedin.com/in/aamirkhan-4u",
20        "companyId": "96316109",
21        "applyUrl": "https://ca.linkedin.com/jobs/view/data-engineer-snowflake-expert-at-virtual-labs-it-consulting-4128577661?trk=public_jobs_topcard-title",
22        "applyType": "EASY_APPLY",
23        "benefits": ""
24    },
25...
26]