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๐Ÿ”ฅ Indeed [Only ๐Ÿ’ฐ] Jobs Scraper (Search by keywords) โ€” Indeed | Lagic

Built ForRecruitment & StaffingMarket ResearchSales & Business Development

Extract detailed Indeed job listings and company insights for market analysis or lead generation.

Curated by LagicยทVerified working

Configure Agent

Any combination of positions or keywords for search

Select the country for your job search

Any combination of city, zip code or locality for search

Filter jobs by when they were posted

Filter by who posted the job

Filter by job type (select multiple)

Filter by remote work type

Set to true if you want to scrape company details.

Results to deliver

100 credits

This agent actively searches live listings โ€” 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

1 credit per result
โœ“ 30 free credits on signupโœ“ Refund if 0 resultsโœ“ No card required

Sample Data Preview

Job titles and their unique identifiersCompany names and ratingsJob locations, including remote statusSalary information (min, max, type, snippet)Direct links to job postingsDate and time jobs were posted
Sample Text...Sample Text...Value...Value...https://...2026-04-05
Sample Text...Sample Text...Value...Value...https://...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts job listings from Indeed based on your keywords, location, and filters, providing details like job titles, company names, salary ranges, and optional company profiles. It's ideal for recruiters, market researchers, and job seekers tracking hiring trends.

### Uncover Indeed Job Market Data Indeed is a primary source for job postings globally, making its data invaluable for a range of professionals. This tool is designed to systematically extract job listing information, allowing you to move beyond manual searches and into structured data analysis. You can specify exactly what you're looking for, from broad industry keywords to specific job types and locations, and even filter by when the job was posted or whether it's a remote opportunity. ### Deep Dive into Job Details and Companies The tool goes beyond basic listing information. For each job, you can retrieve details such as the exact job title, the company offering the position, its location, and any provided salary snippets. Crucially, you have the option to include comprehensive company details. This means you can get insights into the company's background, including its founding year, industry, employee range, CEO information, website, and even aggregated ratings and review counts. This is particularly useful for competitive analysis or for identifying potential clients. ### Tailored Data for Your Workflow Whether you're a recruiter seeking to understand talent demand, a sales professional building lists of hiring companies, or a job seeker monitoring specific roles, the output is structured for immediate use. You can choose to flatten the data for easier integration into spreadsheets or databases, or keep the raw nested structure for more complex analytical pipelines. The ability to name your storage for listings also helps with data deduplication and long-term retention, ensuring you always have a clean, persistent dataset for ongoing projects.

Key Capabilities

  • โœ“ Job titles and their unique identifiers
  • โœ“ Company names and ratings
  • โœ“ Job locations, including remote status
  • โœ“ Salary information (min, max, type, snippet)
  • โœ“ Direct links to job postings
  • โœ“ Date and time jobs were posted
  • โœ“ Job types (e.g., full-time, part-time, contract)
  • โœ“ Indication of urgent hiring or multiple candidates needed
  • โœ“ Full company profiles (optional): CEO name, industry, sector, founding year, headquarters, website, employee range, revenue, and description.
  • โœ“ Recruiters tracking competitor hiring activities and talent demand in specific regions or industries.
  • โœ“ Sales and marketing teams identifying companies actively hiring to generate qualified leads for B2B services.
  • โœ“ Job seekers monitoring new postings for specific roles, keywords, or remote work options across various countries.
  • โœ“ Market researchers analyzing salary trends, job type prevalence, and remote work adoption across different sectors.
  • โœ“ HR departments benchmarking compensation by extracting salary data for similar positions.
  • โœ“ Business analysts studying labor market shifts and growth areas based on job posting volumes and company expansions.
  • โœ“ Staffing agencies finding companies that frequently post jobs through staffing agencies versus direct employers.

Field Dictionary

How To Run This Extractor

1

Specify your desired job positions or keywords and select the country for your search.

2

Optionally, narrow down your search by adding a specific city, zip code, or locality.

3

Set filters for 'Date posted', 'Posted By' (Employer or Staffing Agency), 'Job type', and 'Remote Work' status.

4

Toggle the 'Include Company Details' option if you need in-depth information about the hiring companies.

5

Set the 'Max Jobs' you wish to process and provide a custom name for your data storage to ensure deduplication and long-term retention.

6

Run the tool, and once completed, download your structured job listing data in your preferred format.

Frequently Asked Questions

What technical skills are needed to use this tool?
No coding or advanced technical skills are required. You interact with the tool through a user-friendly interface where you input your search criteria.
What data formats can I export the job listings in?
Is the data extracted compliant with privacy regulations?
How can I get company details along with job postings?
How fresh is the job data I receive?
Can I use this for client projects?
How does this tool handle duplicate job listings?
What happens if a job posting includes salary information?
Can I schedule recurring job searches?
What if I need to scrape a very large number of jobs?
How is the cost determined for using this tool?
What if Indeed changes its website structure?