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Indeed Job Scraper by URL for CSV Export logo

Indeed Job Scraper by URL for CSV Export

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.

Output

CSV file

Columns

20

Inputs

URL list

Waits

Built in

Template

Free import

At a glance

Export Indeed jobs from direct URLs

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

Use cases for Indeed job posting data

Recruiting teams

Role research

Favorable to scraping

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

Favorable to scraping

Collect consistent detail-page fields for selected employers, geographies, or job boards, then dedupe by Job_ID and track expired postings.

Agencies

Client reporting

Nuanced outcome

Build repeatable CSV evidence for approved roles while keeping platform rules, personal-data handling, and reuse rights separate from collection.


How to use

Configure the Indeed job URL scraper

1

Download and import

Download the hosted template JSON and import it into UScraper.

2

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.

3

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.

4

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.

5

Audit the CSV

Filter blank titles, verification diagnostics, and expired jobs before sending rows into sourcing sheets, dashboards, or downstream enrichment.

Output preview

What the Indeed jobs to CSV export includes

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_TitleCompany_NameSalaryLocationPosted_DateisExpiredApply_Link
Senior Data AnalystExample Health$95,000 - $120,000 a yearAustin, TX2026-06-01Falsehttps://www.indeed.com/apply/start...
Customer Success ManagerNorthwind SoftwareRemote2026-06-02Falsehttps://www.indeed.com/m/vaclk...
indeed_job_scraper_by_url.csv
CSV - UTF-8 - Append

Column

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.

Headers included - one output row per input URL - verification pages produce diagnostic rows

Comparison

Local URL scraper vs hosted Indeed scraper actors

This UScraper template

Local CSV

Hosted scraper actors

Cloud
Starting point

Supplied 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.

Failure mode

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.

Best fit

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.


Frequently asked questions

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

Practical limits and maintenance notes

Keep these guardrails visible

Rate limits

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.

Selector drift

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.

Compliance

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.

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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