Recruiting teams
Role research
Export job leads from a curated URL list, then compare title wording, salary language, location requirements, and apply paths before opening a new search.
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This Indeed job scraper by URL turns supplied Indeed job-detail links into a structured CSV for recruiting research, job-board analysis, and labor-market tracking. Import the workflow into the UScraper local desktop app, paste your approved job URLs, and export title, company, salary, location, description, apply link, expiry status, and verification diagnostics without building an Indeed data extractor from scratch.
CSV file
20
URL list
Built in
Free import
At a glance
Start from known job links
Paste direct indeed.com/viewjob URLs into Navigate when your team already has a shortlist from Indeed job search, job alerts, a job application tracker, or another sourcing workflow.
Capture job-detail fields
The export focuses on fields analysts actually review: job title, job ID, canonical job URL, employment type, salary, location, full description, company profile, ratings, dates, and apply link.
Record verification clearly
If Indeed returns an "Additional Verification Required" page, the template exports a diagnostic row instead of mislabeling the challenge page as a real job posting.
Loop through batches
The stock graph uses a multi-URL loop, append-mode CSV export, and Loop Continue so small approved URL batches can run without manual copy-paste.
This page is built for commercial and transactional intent: people who need to scrape Indeed jobs, download selected job postings, or compare local no-code scraper workflows with hosted actors. For keyword-first collection, use the sibling Indeed Job Scraper. For broader hiring research, compare rows with the Google Jobs Scraper and LinkedIn Job Details Page Scraper.
Who this is for
Recruiting teams
Role research
Export job leads from a curated URL list, then compare title wording, salary language, location requirements, and apply paths before opening a new search.
Labor-market analysts
Posting snapshots
Collect consistent detail-page fields for selected employers, geographies, or job boards, then dedupe by Job_ID and track expired postings.
Agencies
Client reporting
Build repeatable CSV evidence for approved roles while keeping platform rules, personal-data handling, and reuse rights separate from collection.
How to use
Paste your job URLs
Open the Navigate block and replace the sample Indeed URLs with the direct job-detail pages your team is allowed to process.
Confirm the export path
Structured Export writes indeed_job_scraper_by_url.csv with headers enabled and append mode on. Change the save folder before client, campaign, or research-specific runs.
Run the loop
UScraper opens each URL, waits for the page body, checks for verification text, runs the correct JavaScript branch, and exports one row for that input.
Audit the CSV
Filter blank titles, verification diagnostics, and expired jobs before sending rows into sourcing sheets, dashboards, or downstream enrichment.
Output preview
The output is designed for reviewable job-detail capture, not just a list of links. When a page is accessible, the row contains the parsed job record. When Indeed blocks the session, the same CSV records the source URL and a clear diagnostic message in Full_Description.
| Job_Title | Company_Name | Salary | Location | Posted_Date | isExpired | Apply_Link |
|---|---|---|---|---|---|---|
| Senior Data Analyst | Example Health | $95,000 - $120,000 a year | Austin, TX | 2026-06-01 | False | https://www.indeed.com/apply/start... |
| Customer Success Manager | Northwind Software | Remote | 2026-06-02 | False | https://www.indeed.com/m/vaclk... | |
indeed_job_scraper_by_url.csvColumn
URL_Input
The original URL from the Navigate loop, preserved for audit and retry.
Column
Job_Title
Title parsed from JobPosting JSON-LD or the visible Indeed job header.
Column
Job_ID
The jk value from the Indeed URL when available.
Column
Job_URL
Canonical Indeed job URL rebuilt from the job ID or current input URL.
Column
Job_Type
Employment type from structured data or visible page text.
Column
Salary
Salary text from structured data or the job metadata area.
Column
Location
Work location from JobPosting address data or page subtitle fields.
Column
Full_Description
Full job description, or a BLOCKED_BY_INDEED_VERIFICATION note.
Column
Company_Name
Hiring organization name from structured data or visible company text.
Column
Apply_Link
First detected Indeed apply, vaclk, or click-through link.
Comparison
This UScraper template
Local CSVHosted scraper actors
CloudSupplied Indeed job URLs
Best when you already have approved postings from search, alerts, or a shortlist.
Platform-managed inputs
Often built around actor parameters, proxy settings, or API-style requests.
Diagnostic row in your CSV
Verification pages are visible in the same export file as successful rows.
Remote logs or retries
Convenient at scale, but blocked-page context may live outside the dataset.
Spreadsheet-first recruiting research
Useful for controlled batches, QA, and local job-board analysis.
Large managed crawling
Better when external infrastructure matters more than local review.
Indeed job pages may be publicly reachable, but automated collection can still be limited by Indeed terms, robots directives, copyright, privacy rules, and employment-data regulations. Keep runs modest, do not bypass access controls, and get legal review before republishing, reselling, or training models on exported job data.
Before you scale
Keep these guardrails visible
Use small, polite URL batches
Keep the built-in waits, avoid aggressive parallel loops, and pause when verification appears repeatedly. A challenge page is a sign to review access, not to force more retries.
Indeed page layouts can change
If titles, salaries, company names, or descriptions go blank across several rows, inspect a fresh job page and update the extraction script or export columns before trusting the next batch.
Local export is not reuse permission
Treat the CSV as a research file. Review Indeed policies, privacy obligations, and internal retention rules before sharing, enriching, or commercializing scraped job posting data.
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