Google Jobs Scraper API – Listings by Keyword & Location
Pricing
Pay per usage
Google Jobs Scraper API – Listings by Keyword & Location
Scrape job listings from Google Jobs using keywords and locations with this Google Jobs Scraper API. Extract job title, company, location, employment type, posted date, job description, and apply link. Ideal for job boards, recruitment automation, and job-market analytics.
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Pay per usage
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Surya Charan
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Google Jobs Scraper — Apify Actor
Scrape job listings from Google Jobs using this powerful Google Jobs Scraper API. Extract job title, company name, location, employment type, posted date, job description, and apply link. Built as an Apify Actor for scalable job data extraction, recruitment automation, and job-market analytics.
Key Features
- Scrapes Google Jobs listings by keyword and location
- Extracts structured job data suitable for analytics and automation
- Configurable search filters for targeted job discovery
- Stores results directly in the default Apify dataset
- Easy integration through the Apify API
Who Is This For
- Recruiters and HR teams sourcing candidates through Google Jobs
- Job boards and ATS platforms aggregating job listings
- Data and analytics teams performing hiring trend analysis
- Developers building automation and reporting pipelines
Input (JSON)
Configure the actor using the following input parameters.
Input Fields
-
job_title(string)
Job title or skill keywords to search for
Example:"Software Engineer","Frontend Developer"
Default:"Software Engineer" -
location(string)
Preferred job location
Example:"India","Remote"
Default:"" -
no_of_jobs(integer)
Number of job listings to scrape
Default:10 -
work_mode(string)
Preferred work mode
Allowed values:"Remote","Hybrid","On-site"
Default:""
Example Input
{"job_title": "Frontend Developer","location": "Remote","no_of_jobs": 20,"work_mode": "Remote"}