Recruiting teams
Pipeline planning
Favorable to scraping
Export comparable job listings by role and location, then review salary signals, job types, and posting language before opening a new search.
Job Boards$50Free
Indeed Job Scraper for CSV Export
This Indeed job scraper exports Indeed RSS search results into a structured CSV for recruiting research, hiring-market analysis, and job-board monitoring. Import the workflow into the UScraper local desktop app, edit the keyword and location URLs, and collect job title, URL, company, location, salary, job type, posted date, description, and scrape status without writing code.
Output
CSV
Fields
14
Pages
5 offsets
Waits
Built in
Template
Free
At a glance
Export Indeed job listings from RSS search pages
Indeed can be difficult to automate against because normal job-card pages and RSS endpoints may return interstitials, empty feeds, or changed markup in automated browsers. This template is built as a best-effort Indeed data extractor: it starts from RSS search URLs, parses any feed items that are available, and creates a stable set of HTML rows for Structured Export.
The bundled Navigate block searches for software engineer jobs in the United States across five start= offsets. Change those URLs to target another keyword, location, or depth. The workflow then follows a simple path: Navigate -> Wait for Page Load -> Sleep -> Inject JavaScript -> Sleep -> Wait for Element -> Structured Export -> Loop Continue.
Recruiting data in a spreadsheet
Export job rows with the fields recruiters and analysts check first: title, company, location, salary, job type, dates, description, and source context.
Pagination offsets are prewired
The workflow loops over five RSS URLs and appends rows into one CSV, so you can expand or reduce page depth by editing the Navigate list.
Local desktop execution
The stock template writes to your configured local folder and does not send the CSV through a hosted scraping actor.
Failure state included
When Indeed blocks the session or returns no items, scrape_status records blocked_or_no_items with a short diagnostic preview.
Who this is for
Use cases for an Indeed jobs to CSV workflow
Labor-market researchers
Market snapshots
Favorable to scraping
Collect structured public job-search rows for a controlled keyword set, then group openings by company, geography, or experience level.
Agencies and analysts
Client reporting
Nuanced outcome
Build repeatable exports for approved searches while keeping platform rules, personal-data handling, and reuse rights separate from collection.
For adjacent job-board research, pair this workflow with the Google Jobs Scraper, LinkedIn Job Scraper No Login Required, and US Job Search Aggregator. Browse the template library when you need follow-up enrichment after collecting job URLs.
How to use
Configure the Indeed scraper workflow
2
Edit search URLs
Replace the sample q=software+engineer, l=United+States, and start= values in Navigate with the role, market, and page depth you want.
3
Confirm the save folder
Structured Export writes indeed-scraper.csv with headers enabled and append mode on. Change the save location before client or campaign runs.
4
Run the loop
UScraper opens each RSS URL, waits, injects the normalization script, waits for .uscraper-rss-item, and exports every available row.
5
Audit the result
Open the CSV, filter scrape_status, and spot-check job URLs before using the data in dashboards, sourcing lists, or market reports.
Output preview
CSV columns produced by the template
The export is designed for spreadsheet review rather than a thin URL list. Each row includes the job record, the feed page that produced it, and a status field so blocked or empty runs are visible.
| job_title | company | location | salary | job_type | posted_date | scrape_status |
|---|---|---|---|---|---|---|
| Senior Software Engineer | Example Health | Remote | $130,000 - $165,000 a year | full-time | Mon, 01 Jun 2026 10:00:00 GMT | ok |
| Data Analyst | Northwind Retail | Austin, TX | contract | Tue, 02 Jun 2026 14:30:00 GMT | ok | |
| blocked_or_no_items |
indeed-scraper.csvColumn
job_title
Cleaned title parsed from the feed item title.
Column
job_url
Indeed job URL from the feed item link.
Column
company
Company name inferred from the RSS title when available.
Column
location
Location segment parsed from the job title text.
Column
salary
Salary phrase detected inside the job description.
Column
scrape_status
ok when rows were found, or blocked_or_no_items when Indeed returns no usable feed items.
Headers included - all configured Indeed RSS offsets append into one file
Comparison
Local scraper vs hosted Indeed actors
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Indeed template | No-code users who need a local CSV and a transparent workflow | Best-effort against Indeed responses; verify status before scaling |
| Hosted scraping actors | Teams that want managed proxy and infrastructure handling | Job queries and output pass through a third party and may bill per run or row |
| Official or partner data access | Contracted use cases that require sanctioned data reuse | Requires approval, API terms, quotas, and implementation work |
Frequently asked questions
Indeed pages and feeds may be publicly reachable, but automated collection can still be limited by Indeed terms, robots directives, privacy law, copyright, and how you reuse job-posting text. Use conservative pacing, do not bypass access controls, and get legal review before publishing, reselling, or training models on exported job data.
Before you run
Practical limits and maintenance notes
Indeed may return no feed items, a challenge page, or an interstitial during automated sessions. Keep batches modest, avoid parallel loops, and treat blocked_or_no_items as a signal to pause or change the run.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export Indeed jobs into a structured local CSV.
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
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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