AmbitionBox Scraper — Reviews, Salaries & Interviews

India's #1 employer-intelligence dataset. Extract employee reviews, salary benchmarks, and interview Q&A from AmbitionBox.com — the largest employer review platform in India with 100k+ companies.

Use cases

• HR competitive intel — benchmark culture, salary, and retention signals across Indian IT firms (TCS, Infosys, Wipro, HCL, Cognizant…)
• Employer brand monitoring — track your company's review velocity, sub-rating trends, and employer response rate over time
• India market research — understand compensation norms, work policies (WFH/WFO/Hybrid), and talent pain points by role and city
• Recruitment analytics — filter reviews by job profile, location, employment type, and experience to pinpoint candidate concerns
• Interview prep / HR tooling — extract interview questions, difficulty ratings, and outcome signals per role

What you get

Reviews

One row per employee review with:

• Overall rating (1–5) + 7 sub-ratings: Salary, Skill Development, Job Security, Promotions, Work Satisfaction, Company Culture, Work-Life Balance
• Pros text and Cons text (the core free-text content)
• Reviewer firmographics: job profile, location, division, employment type, work policy (WFO / WFH / Hybrid), years continued
• Trust signals: verified badge, contested flag, helpful counts, featured flag
• Dates: published, modified
• Optional fields that populate only when the reviewer/employer provides them: workDescription, benefits, employerResponse, currentJob (AmbitionBox leaves these empty on most reviews — they are passed through when present, not fabricated)

Company benefits (dataType: company_benefits)

One summary row per company with the structured employee-benefits data AmbitionBox publishes at the company level — the populated source of benefits info (the per-review benefits field is almost always empty):

• employeeBenefits: list of {name, count} — each perk and how many employees reported it (e.g. Office cab/shuttle ×4052, Free meal ×640, Stock options ×56)
• totalBenefitTypes, benefitsNarrative, companyName, totalReviewCount

Salaries

One row per salary report:

• Role name, experience range, CTC (min/max/avg in INR), location, report date

Salaries (dataType: salaries)

Per-role salary aggregates: role name, experience range, CTC (min / max / avg in INR), data points, location.

Note: reviews (the default) and salaries are the fully-supported, reliable surfaces. interviews is best-effort — AmbitionBox renders interview pages differently and may return no rows for some companies.

Sample output (review)

{
  "dataType": "review",
  "companySlug": "tcs",
  "reviewId": 79820728,
  "overallRating": 5,
  "subRating_salary": 1,
  "subRating_skillDevelopment": 4,
  "subRating_jobSecurity": 5,
  "subRating_promotions": 1,
  "subRating_workSatisfaction": 5,
  "subRating_companyCulture": 5,
  "subRating_workLifeBalance": 5,
  "pros": "Good work life balance and supportive team. TCS provides strong Job security...",
  "cons": "Salary growth and promotion process can feel slow compared to market standards...",
  "jobProfileName": "Process Associate",
  "locationName": "Kolkata",
  "workPolicy": "WFO",
  "verified": true,
  "publishedAt": "2026-05-25T12:04:33Z",
  "parse_confidence": "HIGH",
  "scrapedAt": "2026-06-09T06:13:21Z"
}

Input

Field	Type	Default	Description
companies	list	required	Company slugs (e.g. tcs, infosys) or AmbitionBox URLs
dataType	string	reviews	What to scrape: reviews, salaries, interviews, or all
maxItemsPerCompany	integer	100	Max records per company per data type
proxyConfiguration	object	RESIDENTIAL IN	Apify proxy (India residential required for reliable access)
maxConcurrency	integer	4	Parallel requests

Finding company slugs

The slug is the URL-safe company name on AmbitionBox. Examples:

• TCS → tcs (from ambitionbox.com/reviews/tcs-reviews)
• Infosys → infosys
• Wipro → wipro
• HCL Technologies → hcl-technologies

Pass the full URL or just the bare slug — both work.

vs other AmbitionBox scrapers

	This actor	memo23/ambitionbox-reviews	getdataforme/ambitionbox-reviews	thirdwatch/ambitionbox
Reviews (7 sub-ratings)	✅	✅	✅	partial
Full reviewer firmographics (role/location/division/policy)	✅	✅	partial	❌
Trust signals (verified / employer response / helpful)	✅	partial	❌	❌
Salaries surface	✅	❌	❌	✅ (salary-only)
parse_confidence quality flag	✅	❌	❌	❌
45 fields per review	✅	~40	~20	n/a

FAQ

Do I need a proxy? Yes — AmbitionBox is behind Akamai. Apify RESIDENTIAL IN (India) is prefilled by default and required; no external proxy key needed.

How many reviews can I get? AmbitionBox paginates ~20 reviews/page with hundreds of pages for large employers (TCS has 115k+ reviews). Set maxItemsPerCompany to cap per company.

What does parse_confidence mean? HIGH = all core fields populated (rating, pros/cons, sub-ratings, role, location, date); MEDIUM/LOW flag partially-filled reviews so you can filter on data quality.

Is this affiliated with AmbitionBox? No — it's an independent tool that extracts publicly available review data.

Use with AI agents (MCP)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=bovi/ambitionbox-reviews-scraper",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

Pricing

Pay per result (each review or salary row counts as 1 result).

Technical notes

AmbitionBox is a Next.js SSR application. This scraper extracts structured data from the embedded __NEXT_DATA__ JSON block — no fragile DOM parsing, no class-name selectors. Data is fully structured before it leaves the server.

The site is protected by Akamai EdgeSuite. Apify RESIDENTIAL IN (India) proxies are required and prefilled by default — the scraper will not work without them. No external proxy key needed.