⭐ AmbitionBox Scraper: Company Reviews, Salaries & Ratings

Overview

AmbitionBox Scraper pulls structured company data from AmbitionBox, India's largest employer-review and salary platform, without logging in, solving CAPTCHAs, or touching a browser. Give it one company to start from, and it returns that company plus a deduplicated set of peers: overall rating, review count, salary and interview counts, active job count, industry, ownership, HQ, employee size, founding year, website, and overview URL. It is a fast, no-code way to build company-intelligence datasets for the Indian market.

Built for recruiting research, sales into Indian tech, employer branding teams, and AI agents that need live AmbitionBox data.

Reliability posture: blocked, empty, or failed runs are never charged. You only pay for a company record that was actually delivered.

✅ No login | ✅ No CAPTCHA | ✅ India residential proxies | ✅ MCP-ready for AI agents

Features

Seed with one company name or a keyword and fan out to peer companies. Structured fields for rating, review count, salary count, interview count, and job count. Full company profile including industry, ownership, HQ, and employee bracket. India residential proxies to keep runs steady under load. Same output whether you consume it via CSV, JSON, Excel, API, or MCP tool call.

How it works

AmbitionBox is India's largest source of employer reviews and salary data. Its own site has no public API and no bulk export. This actor reads the public company pages directly, joins in the peer graph so you can seed with one name and collect a full peer cohort, and returns a flat record per company with the numbers that recruiting and market intelligence teams actually use.

Every field lives at the top level. No nested review blobs, no HTML fragments, no per-page parsing on your side. Drop the JSON into a CRM, a data warehouse, or a Google Sheet, and you're ready to work.

🧾 Input configuration

{
  "companyName": "Infosys",
  "searchQuery": "IT services India",
  "maxResults": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "countryCode": "IN" }
}

📤 Output format

{
  "company_name": "Infosys",
  "rating": 3.9,
  "review_count": 48520,
  "salary_count": 62110,
  "interview_count": 12480,
  "job_count": 942,
  "industry": "IT Services & Consulting",
  "ownership": "Public",
  "hq_location": "Bengaluru, Karnataka",
  "employee_count": "1,00,001+ Employees",
  "founded_year": 1981,
  "website": "https://www.infosys.com",
  "url": "https://www.ambitionbox.com/overview/infosys-overview",
  "scraped_at": "2026-07-14T09:42:11.204Z"
}

Every company record contains these fields:

Field	Description
🏢 company_name	Registered company name
⭐ rating	Overall employer rating
💬 review_count	Total number of reviews on file
💰 salary_count	Number of salary data points on file
🎤 interview_count	Number of interview experiences on file
💼 job_count	Active job openings listed
🏷️ industry	Industry classification
🧾 ownership	Ownership type (Public, Private, MNC, etc.)
🏙️ hq_location	Headquarters city and state
👥 employee_count	Employee size bracket
📅 founded_year	Year founded
🌐 website	Company website URL
🔗 url	AmbitionBox overview page URL
🕒 scraped_at	ISO timestamp of capture

💼 Common use cases

Recruiting and talent intelligence Benchmark an employer against peers on rating, salary coverage, and hiring activity. Build a target list of top-rated Indian employers by industry for a candidate.

Sales into Indian tech Filter target accounts by size, ownership, and rating before outreach. Cross-reference active job count as a proxy for growth and budget.

Employer branding and HR Track your own AmbitionBox rating and review volume over time against peers. Model where to invest in employer-brand campaigns for the biggest lift.

Market and industry intelligence Map every company in an Indian industry vertical with headcount and HQ. Feed structured data into a competitive-intelligence dashboard.

🚀 Getting started

1. Open the actor and set companyName to your seed employer, or searchQuery for a keyword search.
2. Set maxResults to cap how many peer companies you collect.
3. Keep the India residential proxy on for steady runs.
4. Click Start, then download the dataset as JSON, CSV, or Excel, or pull it via API or MCP.
5. Schedule the run weekly to keep a rolling employer-intelligence dataset.

FAQ

Do I need a login or API key? No. AmbitionBox Scraper reads only public overview pages.

How does the peer expansion work? Give it one seed company and it uses AmbitionBox's own similar-companies graph to pull the peer cohort in the same industry and size bracket, then deduplicates.

Are the numbers real time? Rating, review count, and salary count come straight from the live overview page, so they reflect the current state of AmbitionBox.

How much does it cost? $3 per 1,000 company records delivered, and the first 10 records on every account are free for life. Empty runs cost nothing.

Can I use it inside an AI agent? Yes. It is exposed as an MCP tool. See below.

Use in Claude, ChatGPT & any MCP agent

https://mcp.apify.com/?tools=themineworks/ambitionbox-companies

Or call it programmatically with the Apify client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('themineworks/ambitionbox-companies').call({
  companyName: 'Infosys',
  maxResults: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

🛠️ Complete your India talent pipeline

Pair this actor with the rest of the themineworks India and talent suite:

• ATS Jobs Scraper: pull live openings from Greenhouse, Lever, Workday, and Ashby to match candidates.
• IndiaMART Scraper: prospect Indian B2B suppliers by category and city.
• B2B Leads Finder: turn company domains into decision-maker emails and LinkedIn profiles.

Typical flow: ambitionbox-companies profiles the employer, ats-jobs finds the live openings, b2b-leads-finder gets you to the hiring manager.

Found a bug or have a feature request? Open an issue on the actor's Apify Console page or reach out through the Apify profile.