AmbitionBox Reviews Scraper

🔎 AmbitionBox Reviews Scraper

AmbitionBox Reviews Scraper extracts public employee reviews from AmbitionBox and saves them as clean Apify dataset rows. Add AmbitionBox company slugs such as tcs and infosys, or paste AmbitionBox company URLs, then export ratings, pros, cons, job profile, location, work policy, verified status, review URLs, and company aggregates.

Use it when you need an AmbitionBox reviews scraper for employer research, workplace reputation monitoring, HR analytics, competitor benchmarking, or repeat exports of Indian company review data. The Actor is focused on public AmbitionBox company review pages. It does not ask you for AmbitionBox login credentials, cookies, or API keys.

✅ What this Actor does

• Scrapes public AmbitionBox employee reviews.
• Accepts AmbitionBox company slugs and company URLs from reviews, overview, salaries, or interviews pages.
• Saves one dataset row per review.
• Extracts overall rating, named sub-ratings, pros, cons, job profile, job location, division, employment type, work policy, verification, dates, helpful counts, and source URLs when AmbitionBox exposes them.
• Includes company aggregate data such as average rating, total review count, rating distribution, top mentions, and top job profiles on each review row.
• Lets you cap reviews per company and across the whole run.
• Supports optional filters for rating range, job profile text, location text, work policy, and verified reviews.
• Charges only for saved AmbitionBox reviews.

This Actor is built for employee review data from AmbitionBox company review pages. It does not scrape AmbitionBox jobs pages, salary pages as salary datasets, interview pages as interview datasets, private content, or logged-in account data.

📊 Data you can extract

Each saved item is one AmbitionBox review. Depending on what AmbitionBox shows for a review or company, fields can include:

• reviewId, reviewUrl, sourceUrl, and sourcePage
• companyName, companySlug, companyId, and companyReviewsUrl
• overallRating and subRatings
• pros, cons, workDescription, and benefits
• jobProfileName, jobLocationName, division, and employmentType
• workPolicy, workLabels, verified, isContested, and isEmployerResponded
• publishedAt, modifiedAt, and modifiedAtHumanReadable
• reviewerName, reviewerExperience, continuedYears, and current-job status when available
• helpfulCount, notHelpfulCount, and views
• companyAggregate with review count, average rating, rating distribution, sub-rating averages, top mentions, and top job profiles
• sourcePlatform and scrapedAt

The dataset is designed for CSV and Excel exports, API pulls, scheduled runs, webhooks, BI tools, and downstream text or sentiment analysis.

🚀 How to run it

1. Open the Actor input.
2. Add one or more companies in AmbitionBox companies.
3. Use a slug such as tcs, infosys, or wipro, or paste an AmbitionBox company URL.
4. Set Reviews per company and Maximum reviews total to control run size and cost.
5. Optional: add filters for rating, job profile, location, work policy, or verified reviews.
6. Start the Actor and open the dataset when the run finishes.

For a small first run, keep the prefilled tcs and infosys examples and lower the review limits if you only want to inspect the row shape.

🧾 Input

Field	What to enter
companies	AmbitionBox company slugs or company URLs. Supported URL surfaces include reviews, overview, salaries, and interviews pages for the same company.
maxReviewsPerCompany	Maximum review rows to save for each company target.
totalMaxReviews	Maximum review rows to save across the whole run.
minRating	Optional minimum overall review rating from 1 to 5.
maxRating	Optional maximum overall review rating from 1 to 5.
jobProfile	Optional text filter for the reviewer's job profile.
location	Optional text filter for the reviewer's job location.
workPolicy	Optional work-policy filter: any, WFO, WFH, or Hybrid.
verifiedOnly	Save only reviews marked as verified by AmbitionBox.

Example input:

{
	"companies": ["tcs", "infosys"],
	"maxReviewsPerCompany": 25,
	"totalMaxReviews": 50,
	"workPolicy": "any",
	"verifiedOnly": false
}

📦 Output example

{
	"rowType": "review",
	"sourcePlatform": "ambitionbox",
	"companyName": "TCS",
	"companySlug": "tcs",
	"companyReviewsUrl": "https://www.ambitionbox.com/reviews/tcs-reviews",
	"reviewId": "79820728",
	"reviewUrl": "https://www.ambitionbox.com/reviews/tcs-reviews?rid=79820728",
	"overallRating": 5,
	"subRatings": {
		"Salary": 1,
		"Skill development": 4,
		"Job security": 5,
		"Work-life balance": 5
	},
	"pros": "Good work-life balance.",
	"cons": "Slow salary growth.",
	"jobProfileName": "Process Associate",
	"jobLocationName": "Kolkata",
	"employmentType": "permanent",
	"workPolicy": "WFO",
	"verified": true,
	"publishedAt": "2026-05-25T12:04:33.000Z",
	"companyAggregate": {
		"companyName": "TCS",
		"companySlug": "tcs",
		"totalReviews": 115240,
		"ratingAverage": 3.3
	},
	"scrapedAt": "2026-06-02T00:00:00.000Z"
}

Fields can be null or empty when AmbitionBox does not show that value for a specific review.

💳 Pricing

This Actor uses pay-per-event pricing. You are charged only for saved AmbitionBox review rows.

• Price per saved review: $0.00135
• Approximate price per 1,000 saved reviews: $1.35
• No separate Actor-start event is defined in the local pricing file.

Use maxReviewsPerCompany and totalMaxReviews to control the maximum number of charged review rows.

⚠️ Limits and caveats

• AmbitionBox /jobs/* pages are not supported. Use the company's reviews page, overview page, salaries page, interviews page, or bare company slug instead.
• The Actor saves only review rows. Invalid inputs and source-side failures are reported in logs and status messages, not as placeholder dataset rows.
• Optional filters are applied to reviews the Actor reads from AmbitionBox. If a company has few matching reviews, the run may return fewer rows than your limit.
• Some fields, such as helpful counts, employer responses, benefits, and work-description text, are sparse because AmbitionBox does not show them for every review.
• Users are responsible for using public review data in line with AmbitionBox's terms and applicable privacy or data-protection rules.

❓ FAQ

Can I use company names instead of slugs?

Use AmbitionBox slugs for the most reliable results, such as tcs, infosys, or wipro. The Actor normalizes simple text into slug format, but ambiguous company names are best handled by pasting the AmbitionBox company URL.

Which AmbitionBox URLs work?

Company reviews URLs work directly. Overview, salaries, and interviews URLs for the same company are also accepted and normalized to the review surface. Jobs URLs are not supported.

Do I need AmbitionBox cookies or an account?

No. The Actor is built for public AmbitionBox review pages and does not ask for login credentials, cookies, or API keys.

Does the Actor scrape salaries or interviews?

No. Salaries and interviews URLs are accepted only as a convenient way to identify the company. The output is focused on employee review rows.

📝 Changelog

• 0.0: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

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• LinkedIn Company Scraper ↗ - Export public LinkedIn company profile data.

Made with ❤️ by Maxime Dupré