LAGIC
Lead Audience Growth Intelligence Computing
P

Popular Job Boards Scraper — google_jobs | Lagic

Built For

Extract Job Postings from Major Job Boards

Curated by Lagic·Verified working

Configure Agent

Free-form jobs search query. It is highly recommended to include job title and location as part of the query. Examples: 'web development jobs in chicago', 'marketing manager in new york via linkedin', 'software engineer remote'

Page to return (each page includes up to 10 results). Allowed values: 1-50

Country code from which to return job postings (ISO 3166-1 alpha-2). Examples: 'us' (United States), 'gb' (United Kingdom), 'ca' (Canada), 'de' (Germany), 'in' (India)

Language code in which to return job postings (ISO 639). Leave empty to use the primary language in the specified country. Examples: 'en' (English), 'es' (Spanish), 'fr' (French), 'de' (German)

Find jobs posted within the time you specify

Only return work from home / remote jobs

Find jobs of particular employment types. Select one or more from the list.

Find jobs with specific requirements. Select one or more from the list.

Results to deliver

1,600 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

16 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Job Title and Full DescriptionCompany Name and WebsiteLocation (City, State, Country)Remote Work StatusEmployment Type (e.g., Full-time, Contract)Salary Range (when provided in the listing)
Sample Text...Sample Text...29Value...2026-04-0510092
Sample Text...Sample Text...573Value...2026-04-0510099
..................
Exports as:CSVXLSXJSON

Overview

Scrape job listings aggregated by Google from sources like LinkedIn, Indeed, and company career pages. Get job titles, descriptions, salaries, and application links for market research or lead generation.

This tool taps into Google's job search engine, which aggregates job postings from across the web. Instead of scraping individual sites like LinkedIn, ZipRecruiter, or thousands of company career pages one by one, you can access a consolidated feed of opportunities. ### Who is this for? * **Recruiters and Staffing Agencies:** Find new client companies that are actively hiring and source roles for your candidate pipeline. * **Market Researchers and Analysts:** Track hiring trends, analyze demand for specific skills, and benchmark salaries across industries and locations. * **Sales and Marketing Teams:** Use hiring activity as a strong buying signal. A company hiring ten new salespeople likely needs sales software; a company hiring cloud engineers is investing in its tech stack. * **Career Coaches and Educational Institutions:** Identify in-demand roles and skills to guide clients and students, and find specific openings that match their qualifications. ### What data can you get? This tool extracts detailed information from each job posting, including the full job title, company name and website, the complete job description, location details, and whether the role is remote. When available in the original posting, it also returns the salary range, required skills and qualifications, listed benefits, and the direct link to apply.

Key Capabilities

  • Job Title and Full Description
  • Company Name and Website
  • Location (City, State, Country)
  • Remote Work Status
  • Employment Type (e.g., Full-time, Contract)
  • Salary Range (when provided in the listing)
  • Required Skills, Qualifications, and Experience
  • Listed Job Benefits
  • Direct Application Link
  • Original Source of the Posting (e.g., LinkedIn, ZipRecruiter)
  • Date the Job Was Posted
  • Build a Lead List of Companies with Active Hiring Needs: A sales team at a SaaS company can run a search for "Salesforce Administrator" to identify companies currently investing in their Salesforce ecosystem, providing a warm lead list for their integration product.
  • Analyze Salary Benchmarks for a Specific Role: An HR consultant can scrape all "Data Scientist" jobs posted in the last month in Canada to create a report on current salary benchmarks for a client.
  • Monitor Competitor Hiring Activity: A tech startup can monitor all jobs posted by their top 3 competitors to understand their expansion strategy, which departments are growing, and the seniority of new hires.
  • Populate a Niche Job Board: The owner of a job board for renewable energy professionals can schedule daily scrapes for terms like "solar technician" or "wind energy engineer" to keep their listings fresh.
  • Identify In-Demand Skills for a University Curriculum: A university's career services department can analyze job postings for entry-level marketing roles to identify the top 10 most frequently mentioned software skills to include in their training programs.
  • Source Openings for a Recruiting Agency's Pipeline: A staffing agency specializing in finance can search for "Financial Analyst in Chicago" to quickly find companies with open positions to pitch their candidates to.

Field Dictionary

How To Run This Extractor

1

Enter your search query in the 'Job Search Query' field, such as "marketing manager in new york".

2

Select the country and language for your job search.

3

Apply filters like 'Date Posted', 'Remote Jobs Only', or specific employment types.

4

Specify the page number of the search results you want to extract.

5

Run the tool and download your list of job postings as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need coding skills to use this tool?
No, you operate it through a user interface. You just need to provide a search query and set your filters.
What format does the data come in?
Is it legal to scrape job postings?
How many jobs can I scrape at once?
Can I use this for client projects?
How is this different from scraping a single job board?
How reliable is the data?
Can I schedule this tool to run automatically?
Will I get salary information for every job?
How do I structure the search query for the best results?
What does 'via linkedin' in the example query mean?
How much will it cost to run?