Indeed Company Scraper — Reviews, Ratings & Firmographics

What does Indeed Company Scraper do?

Indeed Company Scraper extracts structured company data from indeed.com company pages — employee reviews with star ratings, five sub-ratings, review title and full text, job title, location and employment status, an opt-in interview-insights record (interview sources, hiring-process duration, sample questions), plus a firmographic overview covering rating, review count, industry, employee size, revenue, headquarters, founded year, CEO, website and happiness score. Enter a company name or an Indeed company URL, choose reviews, overview, or both, and cap reviews per company, so you can pull reputation and firmographic data consistently over time.

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Key features

• ⭐ Employee reviews — every review comes back structured: overall star rating, five sub-ratings (work-life balance, compensation, job security, management, culture), title, full text, reviewer job title, location, employment status, and helpful counts.
• 🏢 Company overview — a firmographic record per company: rating, review count, industry, employee range, revenue, headquarters, founded year, CEO, website, logo, happiness score, and category ratings.
• 🎤 Interview insights (opt-in) — one record per company with how candidates got their interviews, hiring-process duration distribution, and sample interview questions and experiences.
• 🔎 Name or URL input — enter a plain company name (Google) or paste an Indeed company URL. Names are resolved automatically, so you don't need to hunt for the exact slug.
• ♻️ Incremental monitoring — recurring runs emit and charge only for reviews unseen since the last run. First run builds the baseline; subsequent runs return just the new reviews.
• 🔔 Notifications and webhooks — push new reviews to Telegram, Slack, Discord, WhatsApp Cloud API, or a generic webhook, with change-only notifications for monitoring workflows.
• 📦 AI-ready output controls — compact mode and empty-field exclusion keep payloads small for agents and automation.
• 🔌 MCP connectors — export your results straight into Notion (or another connected app) via Apify's MCP connectors — a clean run-summary, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI.

What data can you extract from indeed.com?

Three record types share the dataset. A review record carries the overall star rating, five sub-ratings (work-life balance, compensation & benefits, job security & advancement, management, culture & values), review title and text, reviewer job title, location, country, employment status, submission date, and helpful counts. An overview record carries the company's rating, review count, happiness score, industry, sector, employee range, revenue, headquarters, founded year, CEO, website, logo, and per-category ratings. An opt-in interview record carries how candidates got their interviews (source distribution), the hiring-process duration distribution, and sample interview questions and experiences. Filter with includeReviews / includeOverview / includeInterviews. In standard mode every field is present — unavailable data points are null, never omitted. In compact mode only core fields are returned.

Input

Configure the actor through the input schema in Apify Console.

Key parameters:

• companies — Company names or Indeed company URLs. One string or a JSON array (e.g. ["Google", "https://www.indeed.com/cmp/Amazon-com"]). Names are resolved automatically — "general motors" finds the right company page.
• startUrls — Alias for Companies — paste direct Indeed company or reviews URLs (indeed.com/cmp/...). Merged with the Companies list.
• includeReviews — Scrape the company's employee reviews (star ratings, five sub-ratings, review title and full text, job title, location, employment status). (default: true)
• includeOverview — Emit one firmographic overview record per company: rating, review count, industry, employee range, revenue, HQ, founded year, CEO, website, happiness score, and category ratings. (default: true)
• includeInterviews — Also emit one interview-insights record per company: how candidates got interviews, hiring-process duration, and sample interview questions and experiences. (default: false)
• maxReviews — Maximum reviews to scrape per company (newest first). Set 0 for all available reviews (best-effort — large companies have thousands). (default: 100)
• compact — Output only core fields per record. Ideal for AI agents, MCP workflows, and LLM context windows where token budget matters. (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Return only reviews not seen in a previous run for the same company set. Ideal for monitoring new reviews on a schedule. State is keyed automatically; set State Key to isolate universes. (default: false)
• stateKey — Optional stable identifier for the tracked company set. Leave empty to auto-derive from the Companies list. Use distinct keys for unrelated monitors to keep their state separate.
• telegramToken — Telegram bot token from @BotFather. Required for Telegram notifications.
• telegramChatId — Telegram chat or channel ID where alerts are sent (e.g. "-100123456789" for a private group, or "@yourchannel").
• ...and 11 more parameters

Input examples

Reviews + overview for one company — Scrape both record types for a single company.

→ One overview record plus up to maxReviews review records, all standard fields populated where the source provides them.

{
  "companies": [
    "Google"
  ],
  "includeReviews": true,
  "includeOverview": true,
  "maxReviews": 100
}

Overview only for a list of companies — Firmographics for many companies at once, no reviews.

→ One overview record per company: rating, industry, size, revenue, HQ, founded year, and CEO.

{
  "companies": [
    "Amazon",
    "Microsoft",
    "Meta"
  ],
  "includeReviews": false,
  "includeOverview": true
}

Interview insights for a company — Opt-in interview intelligence: sources, durations, sample questions.

→ One interview record per company with interviewSources, hiringDurations and sample Q&A arrays.

{
  "companies": [
    "Google"
  ],
  "includeReviews": false,
  "includeOverview": false,
  "includeInterviews": true
}

New reviews monitor (incremental) — Return only reviews unseen since the last run for the same company set.

→ First run builds the baseline. Subsequent runs emit — and charge for — only reviews not seen before. Pair with notifications to alert on new reviews.

{
  "companies": [
    "Google"
  ],
  "includeReviews": true,
  "includeOverview": false,
  "maxReviews": 50,
  "incrementalMode": true,
  "stateKey": "indeed-tracker"
}

Compact output for AI agents — Only core fields per record for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "companies": [
    "Google"
  ],
  "includeReviews": true,
  "includeOverview": false,
  "compact": true
}

Output

Each run produces a dataset of structured company records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example company record

{
  "recordType": "overview",
  "company": "Google",
  "sourceUrl": "https://www.indeed.com/cmp/Google",
  "indeedUrl": "https://www.indeed.com/cmp/Google",
  "rating": 4.3,
  "reviewCount": 6235,
  "reviewCountFormatted": "6.2K",
  "happinessGrade": "EXCELLENT",
  "happinessScore": 77,
  "description": "Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world...",
  "industry": "Internet & Web Services",
  "sectorNames": [
    "Internet & Web Services"
  ],
  "employeeRange": "more than 10,000",
  "employeeRangeRaw": "ERv1_10000_PLUS",
  "revenue": "more than $10B (USD)",
  "revenueRaw": "RRv1_OVER_10B",
  "foundedYear": 1998,
  "headquarters": "Mountain View, CA",
  "website": "http://goo.gle/3ygdkgv",
  "ceoName": "Sundar Pichai",
  "ceoApproval": 67,
  "logoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/96x96/d778456838f54580d43f7dd78b3b0d9c",
  "categoryRatings": {
    "compensationBenefits": 4.1,
    "culture": 4.2,
    "jobSecurityAdvancement": 3.7,
    "management": 3.9,
    "workLifeBalance": 4.2
  },
  "happinessResponses": 1813,
  "scrapedAt": "2026-07-13T22:05:00.164Z"
}

Incremental mode

Reviews on Indeed are immutable once posted, so incremental mode tracks them by ID: the first run establishes the baseline and subsequent runs emit — and charge for — only reviews not seen before for the same company set. State is keyed automatically from the company list; set stateKey to keep unrelated monitors separate. Pair with notifications and notifyOnlyChanges to alert only on newly-posted reviews.

How to scrape indeed.com

1. Go to Indeed Company Scraper in Apify Console.
2. Configure the input.
3. Set maxReviews to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Monitor new employee reviews for your company or competitors and get alerted the moment one is posted.
• Benchmark employer reputation across a set of companies using ratings, happiness scores, and category ratings.
• Enrich CRM or lead lists with firmographics: industry, employee size, revenue, HQ, founded year, and CEO.
• Track reputation trends over time with scheduled incremental runs that return only new reviews.
• Feed structured company and review data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean company data to dashboards, spreadsheets, or data warehouses as JSON, CSV, or Excel.

How much does it cost to scrape indeed.com?

Indeed Company Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per company record

Example costs:

• 10 results: $0.03
• 25 results: $0.06
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of records that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.51	$0.04	$0.47 (93%)	$1.05
15% — moderate broad query	$0.51	$0.08	$0.43 (83%)	$2.55
30% — high-volume aggregator	$0.51	$0.16	$0.35 (69%)	$4.80

Full re-scrape monthly cost at daily polling: $15.30. First month with incremental costs $1.53 / $2.97 / $5.15 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from indeed.com?

The number of results depends on the search query and available records on indeed.com. Use the maxReviews parameter to control how many results are returned per run.

Does Indeed Company Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Indeed Company Scraper with other apps?

Yes. Indeed Company Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Indeed Company Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Indeed Company Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape indeed.com?

This actor extracts publicly available data from indeed.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.