We extract job listings, salary estimates, company reviews, and employer profiles from Indeed. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Job Postings objects from indeed.com. All fields typed and schema-versioned.
"job_id": "9a8b7c6d5e4f3g2h", "title": "Senior Backend Engineer", "company_name": "TechCorp India", "location": "Bengaluru, Karnataka", "salary_min": 2500000, "salary_max": 3500000, "job_type": "Full-time", "remote_status": "Hybrid"
| # | job_id | title | company_name | location | salary_min | salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Company Profiles objects from indeed.com. All fields typed and schema-versioned.
"company_id": "TechCorp-India", "name": "TechCorp India", "industry": "Information Technology", "headquarters": "Bengaluru", "employee_count": "1,000 to 4,999", "founded_year": 2012, "about_text": "TechCorp builds enterprise software solutions."
| # | company_id | name | logo_url | industry | headquarters | employee_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Company Reviews objects from indeed.com. All fields typed and schema-versioned.
"review_id": "rev_123456", "company_id": "TechCorp-India", "job_title": "Software Engineer", "rating_overall": 4.2, "review_title": "Great engineering culture", "pros": "Flexible hours, good tech stack", "cons": "Slow promotion cycles", "review_date": "2025-11-10"
| # | review_id | company_id | job_title | location | rating_overall | rating_work_life |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Salary Data objects from indeed.com. All fields typed and schema-versioned.
"job_title": "Data Scientist", "company_name": "AnalyticsPro", "location": "London", "average_salary": 85000, "salary_min": 65000, "salary_max": 115000, "salary_type": "Yearly", "data_points_count": 142
| # | job_title | company_name | location | average_salary | salary_min | salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from indeed.com. All fields typed and schema-versioned.
"keyword": "python developer", "location": "Remote", "position": 3, "job_id": "3f4g5h6j7k8l9m0n", "title": "Python Developer", "company_name": "CloudSystems", "sponsored": true, "scraped_at": "2026-02-14T08:12:00Z"
| # | keyword | location | page_number | position | job_id | title |
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Our Indeed scraper handles every layer of the platform: job listings, dynamic salary estimates, company reviews, and employer profiles with JavaScript rendering and anti-bot circumvention built in.
Extract job title, description, benefits, required skills, and application URLs directly from the job posting page.
Capture employer-provided salaries and Indeed-estimated pay ranges, normalised to hourly, monthly, or annual figures.
Extract employee reviews, star ratings, pros, cons, and management approval scores across thousands of company pages.
Collect company size, industry, revenue estimates, and leadership details to enrich your B2B lead generation.
Track organic versus sponsored job positions for any keyword and location combination.
Identify exact office locations, remote-only roles, and hybrid work policies accurately.
Monitor 'Urgently hiring' badges, active candidate counts, and posting age to gauge employer desperation.
Scrape indeed.com, indeed.co.in, indeed.co.uk, and other regional domains from a unified schema.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide search keywords, locations, or company URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for indeed.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Indeed uses aggressive Cloudflare and perimeter defences. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Indeed protects its endpoints with advanced bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, matching JA3 hashes to bypass perimeter security.
Job descriptions and salary widgets load dynamically. We run full Playwright browser sessions with JavaScript execution to capture data that simple HTTP clients miss.
Indeed frequently runs A/B tests on job cards. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
We maintain a hash index of seen job IDs. Subsequent runs only push new jobs or updated statuses, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes and coverage drops, responding before you notice missing data.
HR teams and recruiters track hiring volume by competitor, location, and skill set to optimise talent acquisition strategies.
Enterprises monitor competitor job descriptions and benefit tags to ensure their own compensation packages remain competitive.
Niche job boards backfill their inventory by extracting relevant postings and redirecting traffic to original applications.
Compensation analysts aggregate thousands of salary estimates to build accurate pay bands for specific roles and geographies.
Sales teams track 'Urgently hiring' signals to identify companies with budget expansion and immediate software needs.
Hedge funds and economists correlate job posting volume with macroeconomic health and sector growth trends.
"Indeed holds the definitive graph of global hiring demand and salary trends but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable Indeed scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis not the infrastructure.
Everything supported by our indeed.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows to load dynamic job cards.
We maintain pools of residential ISP proxies. Rotation happens per request to bypass rate limits and geographic restrictions.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About indeed.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible. DataFlirt extracts only public, non-authenticated job data, salary estimates, and company profiles. We do not extract personal candidate data or bypass login walls. Clients should review Indeed terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and automated CAPTCHA solvers. Our infrastructure mimics human behaviour to prevent blocking.
We support all regional variants including indeed.com, indeed.co.uk, indeed.co.in, indeed.ca, and indeed.com.au from a unified schema.
Pipelines can be configured to run daily or hourly. Change detection ensures you receive new job postings within minutes of your scheduled crawl completing.
Yes. Indeed often displays algorithmically generated salary estimates when employers do not provide exact figures. We extract these estimates alongside the explicit salary data.
Our smallest packages start at defined keyword and location sets with weekly delivery. For larger global extractions, we price based on volume and delivery frequency.
Yes. We paginate through company review sections to extract star ratings, pros, cons, and text reviews for sentiment analysis.
Yes. We provide a sample run of up to 500 job postings as part of the scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off job market snapshot or a continuous feed of new postings across global regions, we scope, build, and operate the pipeline. Tell us what you need.
