Recruiters
Sourcing research
Favorable to scraping
Monitor active roles by keyword, city, remote status, employer, and source site before deciding which postings deserve manual review.
Job Boards$50Free
Google Jobs Scraper by Keywords
The Google Jobs scraper by keywords turns Google job search result cards into a structured CSV for hiring-market research, lead sourcing, and role monitoring. Import the template into the UScraper local desktop app, replace the starter query URL, and export job title, company, location, source, salary, apply links, and listing text without wiring a Google Jobs API.
Output
CSV file
Columns
24
Input
Keyword URLs
Waits
Built in
Template
Free import
At a glance
Export Google Jobs to CSV
Spreadsheet-ready job postings
Capture job titles, employers, locations, sources, posting age, employment type, salary cues, description text, and apply links for filtering in Excel, Sheets, or a recruiting database.
Keyword loops instead of copy-paste
The Navigate block accepts multiple Google job search URLs, so one run can append rows from several approved keywords or locations into the same CSV.
Local desktop workflow
Search pages open in your browser session and the output stays in the folder configured in Structured Export unless you add another sharing block.
Blocked-page diagnostics
If Google returns a verification screen, the template retries after a pause and records the blocked query instead of leaving you with an unexplained empty file.
Who uses it
Google job search data for recruiting teams
Talent analysts
Market snapshots
Favorable to scraping
Compare Google job postings across locations, save evidence of search results, and preserve apply URLs for audit-friendly hiring reports.
Agencies
CSV operations
Favorable to scraping
Replace repeated copy-paste with a no-code Google Jobs extractor that feeds spreadsheets, enrichment queues, or client dashboards.
How to use
Scrape Google Jobs by keyword
2
Replace the Google Jobs URL
Edit the Navigate block with approved searches such as role, city, remote intent, or seniority. Keep udm=8 when you want the Google Jobs vertical.
3
Check the export path
Structured Export writes google-job-search.csv with headers and append mode. Change the save folder before running production batches.
4
Run the browser flow
UScraper loads the page, waits for cards, scrolls the jobs container, pauses for late-rendered listings, and exports each visible row.
5
Review the CSV
Open the file, check a few apply links against Google Jobs, and keep diagnostic rows when they explain a blocked or throttled search.
Automation path inside the template
- 1
Navigate
Loop through one or more Google Jobs keyword URLs.
- 2
Wait, detect, and retry
Wait for load, detect CAPTCHA-like pages, pause, refresh once, and branch to diagnostics if access remains blocked.
- 3
Scroll result cards
Run a short JavaScript scroll loop against the job results container so more cards become available.
- 4
Structured export
Append normalized job fields to CSV, then continue to the next configured URL.
Output preview
What the Google Jobs export includes
google-job-search.csvColumn
keyword
Search phrase read from the Google Jobs URL or search box.
Column
job_title
Visible job card title or best title fallback.
Column
company
Employer name when Google exposes it in the result card.
Column
location
City, state, remote, hybrid, or country text detected from the card.
Column
salary
Salary or pay range when included in the listing card.
Column
apply_links
Non-Google apply URLs collected from links inside the row.
Sample rows
2 of many
| keyword | job_title | company | location | salary | apply_links |
|---|---|---|---|---|---|
| Software Engineer in San Francisco | Backend Software Engineer | ExampleCloud | San Francisco, CA Hybrid | $145,000 - $190,000 a year | |
| Data Analyst remote | Senior Data Analyst | Northstar Labs | Remote in United States |
Headers included - each keyword URL appends rows into the same file
| Field group | Columns included |
|---|---|
| Search context | keyword, source, website |
| Listing basics | job_title, company, location, job_post_time, employment_type, salary |
| Role details | degree_requirement, job_area1, job_area2, job_area3, job_highlights, qualifications, benefits, responsibilities, job_description |
| Links and signals | job_detail_URL, apply_links, emails, company_rating1, company_rating2, company_rating3 |
For adjacent workflows, compare broader role collection with the US Job Search Scraper Aggregator, collect organic SERP context with the Google Search Scraper, use the Google SERP Scraper for search-result snapshots, or browse the full UScraper template library.
Frequently asked questions
Google Jobs results may be publicly visible, but automated collection can still be limited by Google terms, source-site terms, robots rules, copyright, privacy law, and local regulations. Use small batches, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you scale
Limits and maintenance notes
Guardrails for reliable Google Jobs exports
Rate limits
Google may throttle frequent automated searches
Keep batches modest, avoid parallel runs, leave waits in place, and treat CAPTCHA screens as a signal to slow down or stop the batch.
Layout drift
Result-card markup can change
Missing titles, blank companies, or many diagnostic rows usually mean the page layout changed or a different result surface loaded. Re-test one URL before scaling again.
Compliance
CSV custody does not grant reuse rights
Review Google policies, employer site terms, privacy obligations, and client contracts before republishing, enriching, or contacting people from collected job data.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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