LinkedIn Jobs Scraper | Remove Duplicate Jobs avatar
LinkedIn Jobs Scraper | Remove Duplicate Jobs

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from $0.65 / 1,000 results

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LinkedIn Jobs Scraper | Remove Duplicate Jobs

LinkedIn Jobs Scraper | Remove Duplicate Jobs

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cheap_scraper

cheap_scraper

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LinkedIn Jobs Scraper | Remove Duplicate Jobs. The LinkedIn jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering multiple keywords, search queries. You can use either method individually or combine both.

3.2 (4)

Pricing

from $0.65 / 1,000 results

24

Total users

406

Monthly users

224

Runs succeeded

98%

Issues response

3.5 hours

Last modified

5 days ago

LinkedIn Jobs Scraper

Pay-per-result LinkedIn job scraper that allows you to collect job postings from LinkedIn using either keyword-based search or URLs-based search. With the option of removing duplicates!

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:

  • 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.
  • 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

[
{
"jobId": "4128577661",
"jobTitle": "Data Engineer (Snowflake Expert )",
"location": "Toronto, Ontario, Canada",
"postedTime": "6 days ago",
"publishedAt": "2025-01-18T00:00:00.000Z",
"jobUrl": "https://ca.linkedin.com/jobs/view/data-engineer-snowflake-expert-at-virtual-labs-it-consulting-4128577661?trk=public_jobs_topcard-title",
"companyName": "Virtual Labs IT Consulting",
"companyUrl": "https://ca.linkedin.com/company/virtuallabs?trk=public_jobs_topcard-org-name",
"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",
"applicationsCount": "",
"contractType": "Contract",
"experienceLevel": "Associate",
"workType": "Information Technology",
"sector": "IT Services and IT Consulting",
"salary": "",
"posterFullName": "Aamir Khan",
"posterProfileUrl": "https://ca.linkedin.com/in/aamirkhan-4u",
"companyId": "96316109",
"applyUrl": "https://ca.linkedin.com/jobs/view/data-engineer-snowflake-expert-at-virtual-labs-it-consulting-4128577661?trk=public_jobs_topcard-title",
"applyType": "EASY_APPLY",
"benefits": ""
},
...
]