
Intelligently extract core recruitment data, including job title, salary range (hourly/daily/monthly), company name, job location (city/remote), and job requirements.
With Indeed, a globally renowned job search and recruitment platform, booming, are you wasting countless hours manually collecting recruitment information such as job titles, salary ranges, company names, job requirements, and application deadlines? Faced with Indeed's massive job listings, efficiently acquiring structured recruitment data to accurately understand industry hiring trends, optimize recruitment strategies (for recruiters) or improve job search efficiency (for job seekers) has become a common challenge for many recruiters, HR professionals, job seekers, and workplace researchers. Say goodbye to tedious manual copy-and-paste and page-by-page recording. BrowserAct will revolutionize the way you access Indeed recruitment information.
BrowserAct is a powerful automated data extraction tool that allows you to easily scrape required data from any web page without programming knowledge. It can efficiently capture job information in specific industries/regions from Indeed’s massive recruitment listings. What can it do for you?
Job Title: Standard job role naming (e.g., "Software Engineer", "Marketing Specialist")
Company Name: Employer or hiring organization (e.g., "Google", "Local Startup Inc.")
Job Location: Worksite details (e.g., "New York, NY", "Remote")
Job Posting Date: When the job was listed on Indeed (e.g., "Posted 5 days ago")
Job Market Intelligence workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.

Add a "Visit Page" node and input the URL “/Target_Link”. This will navigate to the Indeed jobs page.

Add an "Input Text" node. In the Input Field Position, input “The ob title search bar”. In the Text to Enter, input “/Target_Job”.

Add an "Input Text" node. In the Input Field Position, input “The location search bar”. In the Text to Enter, input “/Target_City”.

Add a "Click Element" node and input the prompt: “Click on blue search button”. This initiates the job search with the provided job title and location.

Add a "Wait" node and set it to wait 15 seconds to proceed. This allows time for the search results to load fully.

Add a "Loop" node and input the prompt: “Loop untill the iterations reach /Total_Job”. This sets up a loop to process the specified number of job listings.
Inside the Loop node, add a "Click Element" node and input the prompt: “Click on the Pictures of first item of job list on the left panel - do not click on "Want to improve your resume?" , "Strengthen your profile" , "People also searched:" only click on job offers”. This selects the next job listing to view its details.
Inside the Loop node, add an "Extract Data" node and input the prompt: “Extract data from right panel (job describtion)- add job title to "Title" - Summarize the Full job description "About" -
Summarize KEY REQUIREMENTS and MAJOR DUTIES and add it to "Needs" - Summarize EDUCATION and add it to "degree" - add Company name to "Company" - add pay amount to "sallary" - copy the Url link and add it to "Link" ”.
Inside the Loop node, add a "Scroll Page" node and select "Scroll to Bottom". This ensures the full job details are loaded in the right panel.

Add a "Finish: Output Data" node. Select "JSON" as the output format and check "Output as a file" for easy downloading. You can also choose to export in CSV, XML, or Markdown (MD) formats.
