AmbitionBox Reviews Scraper

🔎 AmbitionBox reviews scraper for employee data

HR teams, workplace researchers, and analysts can use AmbitionBox Reviews Scraper to collect public AmbitionBox employee reviews for one or more companies. It saves structured dataset rows with ratings, pros, cons, workplace details, and company aggregates for workplace research and company comparisons.

• Filter saved reviews by rating, role, location, work policy, or verification with Filtered AmbitionBox review data.
• Build repeatable review exports for a data pipeline with AmbitionBox API alternative for reviews.
• Track public company review changes across repeat runs with AmbitionBox company reviews monitoring.
• Create a structured dataset for HR or workplace research with AmbitionBox employee reviews dataset.
• Save ratings, pros, cons, and workplace context with AmbitionBox reviews scraper export.

📊 Structured AmbitionBox review rows

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

• sourcePlatform, companyName, companySlug, and companyId
• reviewTitle, overallRating, and named subRatings
• pros and cons
• jobProfileName, jobLocationName, division, employmentType, and workPolicy
• publishedAt, modifiedAt, reviewerName, and continuedYears
• verified, helpfulCount, notHelpfulCount, isContested, isEmployerResponded, and contentTypeLabel
• companyAggregate with total reviews, average rating, rating distribution, sub-rating averages, top mentions, and top job profiles

The Actor saves only review rows. Salary and interview URLs can identify a company, but the output remains focused on public employee reviews.

🚀 Run an AmbitionBox review export

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 reviews, overview, salaries, or interviews URL.
4. Set Reviews per company and Maximum reviews total to control run size and cost. Leave either field empty to return all available results until the source is exhausted.
5. Optional: filter by 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	Type	What it does
companies	Array of strings	Required AmbitionBox company slugs or supported company URLs, one per row. Reviews, overview, salaries, and interviews URLs identify the same company; jobs URLs are not supported.
maxReviewsPerCompany	Integer or null	Maximum review rows to save for each company target. Leave this empty to return all available results for each company until the source is exhausted.
totalMaxReviews	Integer or null	Maximum review rows to save across the whole run. Leave this empty to return all available results until the source is exhausted.
minRating	Integer or null	Optional minimum overall review rating from 1 to 5.
maxRating	Integer or null	Optional maximum overall review rating from 1 to 5.
jobProfile	String or null	Optional text filter for the reviewer's job profile.
location	String or null	Optional text filter for the reviewer's job location.
workPolicy	String	Optional work-policy filter: any, WFO, WFH, or Hybrid.
verifiedOnly	Boolean	Save only reviews marked as verified by AmbitionBox.

Example input

{
  "companies": [
    "tcs",
    "infosys"
  ],
  "maxReviewsPerCompany": 200,
  "totalMaxReviews": 200,
  "workPolicy": "any",
  "verifiedOnly": false
}

Leaving either review limit empty returns all available results until the source is exhausted.

🧾 Output

The Actor output provides a link to the run's default dataset. The current dataset has one shape: a review row. Each row is one public AmbitionBox employee review. If AmbitionBox does not show an optional value, the field can be null or empty.

Run output

Field	Type	What it does
results	String	Opens the default dataset with the saved AmbitionBox review rows.

Review row fields

Field	Type	What it does
sourcePlatform	String	The source platform, ambitionbox.
companyId	String or null	Public AmbitionBox company ID when shown.
companyName	String	Company name shown by the source.
companySlug	String	AmbitionBox company slug for the review.
reviewId	String or null	Public AmbitionBox review ID when shown.
reviewUrl	String or null	Direct AmbitionBox page link for the review when available.
reviewTitle	String or null	Review title when available.
overallRating	Number or null	Overall review rating from 1 to 5 when available.
subRatings	Object	Named review category ratings. Keys use the category names shown by AmbitionBox.
subRatings.<category>	Number or null	Rating for one named review category.
pros	String or null	Positive points written for the review when available.
cons	String or null	Negative points written for the review when available.
workDescription	String or null	Work description written for the review when available.
benefits	String or null	Benefits text written for the review when available.
jobProfileId	String or null	Public AmbitionBox job profile ID when shown.
jobProfileName	String or null	Job profile or designation when available.
jobProfileSlug	String or null	Public AmbitionBox job profile slug when shown.
jobLocationId	String or null	Public AmbitionBox job location ID when shown.
jobLocationName	String or null	Work location when available.
jobLocationSlug	String or null	Public AmbitionBox job location slug when shown.
division	String or null	Department or division when available.
employmentType	String or null	Employment type shown for the reviewer when available.
workPolicy	String or null	Work policy shown for the review when available.
publishedAt	String or null	Review publication date and time when available.
modifiedAt	String or null	Latest review modification date and time when available.
reviewerId	String or null	Public AmbitionBox reviewer ID when shown.
reviewerName	String or null	Reviewer name shown by AmbitionBox, including an anonymous label when shown.
continuedYears	Number or null	Years the reviewer continued with the company when shown.
verified	Boolean or null	Whether AmbitionBox marks the review as verified when available.
helpfulCount	Number or null	Helpful votes shown for the review when available.
notHelpfulCount	Number or null	Not-helpful votes shown for the review when available.
views	Number or null	Review views shown by AmbitionBox when available.
isContested	Boolean or null	Whether AmbitionBox marks the review as contested when available.
isEmployerResponded	Boolean or null	Whether an employer response is present when shown.
contentTypeLabel	Array of strings	Labels AmbitionBox assigns to the review when available.
companyAggregate	Object or null	Company-level review totals, ratings, work policy and culture breakdowns, mentions, themes, and job profile summaries when shown.

Company aggregate fields

Field	Type	What it does
companyAggregate.companyId	String or null	Public company ID used for the aggregates when shown.
companyAggregate.companyName	String	Company name used for the aggregates.
companyAggregate.companySlug	String	Company slug used for the aggregates.
companyAggregate.totalReviews	Number or null	Total company reviews shown by AmbitionBox when available.
companyAggregate.ratingAverage	Number or null	Company average rating from 1 to 5 when available.
companyAggregate.ratingDistribution	Array of objects	Company rating counts and percentages by score.
companyAggregate.ratingDistribution[].rating	Number or null	Rating score represented by one distribution entry.
companyAggregate.ratingDistribution[].count	Number or null	Company review count for one rating when available.
companyAggregate.ratingDistribution[].percentage	Number or null	Percentage for one rating when available.
companyAggregate.subRatingAverages	Object	Average company ratings for named workplace categories.
companyAggregate.subRatingAverages.jobSecurity	Number or null	Average job security rating when available.
companyAggregate.subRatingAverages.workLife	Number or null	Average work-life rating when available.
companyAggregate.subRatingAverages.companyCulture	Number or null	Average company culture rating when available.
companyAggregate.subRatingAverages.skillDevelopment	Number or null	Average skill development rating when available.
companyAggregate.subRatingAverages.workSatisfaction	Number or null	Average work satisfaction rating when available.
companyAggregate.subRatingAverages.compensationBenefits	Number or null	Average compensation and benefits rating when available.
companyAggregate.subRatingAverages.careerGrowth	Number or null	Average career growth rating when available.
companyAggregate.workPolicyBreakdown	Array of objects	Company review counts and percentages grouped by work policy when shown.
companyAggregate.workPolicyBreakdown[].policy	String or null	Work policy named in one company breakdown entry.
companyAggregate.workPolicyBreakdown[].count	Number or null	Review count for one work policy group when available.
companyAggregate.workPolicyBreakdown[].percentage	Number or null	Percentage for one work policy group when available.
companyAggregate.workplaceCultureBreakdown	Array of objects	Workplace culture categories with published ratings or counts when available.
companyAggregate.workplaceCultureBreakdown[].category	String or null	Workplace culture category named in one breakdown entry.
companyAggregate.workplaceCultureBreakdown[].rating	Number or null	Rating for one workplace culture category when available.
companyAggregate.workplaceCultureBreakdown[].count	Number or null	Review count for one workplace culture category when available.
companyAggregate.workplaceCultureBreakdown[].percentage	Number or null	Percentage for one workplace culture category when available.
companyAggregate.topMentions	Array of objects	Frequently mentioned company topics and their counts.
companyAggregate.topMentions[].name	String or null	Topic name when available.
companyAggregate.topMentions[].count	Number or null	Count for one topic when available.
companyAggregate.positiveThemes	Array of objects	Positive themes mentioned in reviews and their counts when available.
companyAggregate.positiveThemes[].name	String or null	Positive theme name when available.
companyAggregate.positiveThemes[].count	Number or null	Count for one positive theme when available.
companyAggregate.criticalThemes	Array of objects	Critical themes mentioned in reviews and their counts when available.
companyAggregate.criticalThemes[].name	String or null	Critical theme name when available.
companyAggregate.criticalThemes[].count	Number or null	Count for one critical theme when available.
companyAggregate.topJobProfiles	Array of objects	Frequently reviewed job profiles with counts and ratings.
companyAggregate.topJobProfiles[].name	String or null	Job profile name when available.
companyAggregate.topJobProfiles[].count	Number or null	Review count for one job profile when available.
companyAggregate.topJobProfiles[].rating	Number or null	Average rating for one job profile when available.

The dataset contains review rows only. It does not include standalone salary, interview, job, or company-overview rows.

Example review row from a successful current-beta run

This is one complete row from a successful run using the default input above. The nested company aggregate is shown in full.

{
  "sourcePlatform": "ambitionbox",
  "companyId": "41",
  "companyName": "Infosys",
  "companySlug": "infosys",
  "reviewId": "81130945",
  "reviewUrl": "https://www.ambitionbox.com/reviews/infosys-reviews?rid=81130945",
  "reviewTitle": "rated by a Senior Systems Engineer (working remotely)",
  "overallRating": 5,
  "subRatings": {
    "Salary": 5,
    "Skill development": 5,
    "Job security": 5,
    "Promotions": 4,
    "Work satisfaction": 5,
    "Company culture": 5,
    "Work-life balance": 5
  },
  "pros": "Top mnc and also team management well and co ordinate the employees everyone to friendly",
  "cons": "Nothing",
  "workDescription": null,
  "benefits": null,
  "jobProfileId": "805",
  "jobProfileName": "Senior Systems Engineer",
  "jobProfileSlug": "senior-systems-engineer",
  "jobLocationId": null,
  "jobLocationName": null,
  "jobLocationSlug": null,
  "division": "IT Support",
  "employmentType": "permanent",
  "workPolicy": "WFH",
  "publishedAt": "2026-09-04T22:50:44.000Z",
  "modifiedAt": "2026-09-04T22:54:34.000Z",
  "reviewerName": "Anonymous",
  "reviewerId": "0",
  "continuedYears": 7,
  "verified": true,
  "helpfulCount": null,
  "notHelpfulCount": null,
  "views": null,
  "isContested": false,
  "isEmployerResponded": false,
  "contentTypeLabel": [
    "FEATURED"
  ],
  "companyAggregate": {
    "companyId": "41",
    "companyName": "Infosys",
    "companySlug": "infosys",
    "totalReviews": 51639,
    "ratingAverage": 3.5,
    "ratingDistribution": [
      {
        "rating": 5,
        "count": 16695,
        "percentage": 32.33021553477023
      },
      {
        "rating": 4,
        "count": 16306,
        "percentage": 31.576908925424586
      },
      {
        "rating": 3,
        "count": 10295,
        "percentage": 19.936482116229982
      },
      {
        "rating": 2,
        "count": 3601,
        "percentage": 6.973411568775538
      },
      {
        "rating": 1,
        "count": 4742,
        "percentage": 9.182981854799667
      }
    ],
    "subRatingAverages": {
      "jobSecurity": 3.9,
      "workLife": 3.7,
      "companyCulture": 3.6,
      "skillDevelopment": 3.5,
      "workSatisfaction": 3.3,
      "compensationBenefits": 2.7,
      "careerGrowth": 2.6
    },
    "workPolicyBreakdown": [
      {
        "policy": "Hybrid",
        "count": null,
        "percentage": 86
      },
      {
        "policy": "Work from office",
        "count": null,
        "percentage": 11
      },
      {
        "policy": "Permanent work from home",
        "count": null,
        "percentage": 3
      }
    ],
    "workplaceCultureBreakdown": [
      {
        "category": "jobSecurity",
        "rating": 3.9,
        "count": 50413,
        "percentage": null
      },
      {
        "category": "workLife",
        "rating": 3.7,
        "count": 50525,
        "percentage": null
      },
      {
        "category": "companyCulture",
        "rating": 3.6,
        "count": 50416,
        "percentage": null
      },
      {
        "category": "skillDevelopment",
        "rating": 3.5,
        "count": 50520,
        "percentage": null
      },
      {
        "category": "workSatisfaction",
        "rating": 3.3,
        "count": 50418,
        "percentage": null
      },
      {
        "category": "compensationBenefits",
        "rating": 2.7,
        "count": 50418,
        "percentage": null
      },
      {
        "category": "careerGrowth",
        "rating": 2.6,
        "count": 50412,
        "percentage": null
      }
    ],
    "topMentions": [
      {
        "name": "Salary",
        "count": 10454
      },
      {
        "name": "Work Life Balance",
        "count": 6408
      },
      {
        "name": "Work Culture",
        "count": 5527
      },
      {
        "name": "Learning",
        "count": 4608
      },
      {
        "name": "Appraisal",
        "count": 3910
      },
      {
        "name": "Work Environment",
        "count": 2806
      },
      {
        "name": "Career Growth",
        "count": 2797
      },
      {
        "name": "Senior Management",
        "count": 2678
      },
      {
        "name": "Job Training",
        "count": 1468
      },
      {
        "name": "Infrastructure",
        "count": 1003
      }
    ],
    "positiveThemes": [],
    "criticalThemes": [],
    "topJobProfiles": [
      {
        "name": "Senior Systems Engineer",
        "count": 6088,
        "rating": 3.5
      },
      {
        "name": "Technology Analyst",
        "count": 5546,
        "rating": 3.6
      },
      {
        "name": "System Engineer",
        "count": 4286,
        "rating": 3.6
      },
      {
        "name": "Senior Associate Consultant",
        "count": 2772,
        "rating": 3.5
      },
      {
        "name": "Associate Consultant",
        "count": 1745,
        "rating": 3.5
      }
    ]
  }
}

💳 Pricing

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

Each saved public AmbitionBox review is one charged event. The per-event price depends on your Apify pricing tier. The current pricing defines no separate Actor-start event.

Use maxReviewsPerCompany and totalMaxReviews to control how many review rows can be saved and charged. Leave either limit empty to return all available results until the source is exhausted.

🔌 Integrations

• Open the default dataset link in the run output to inspect saved review rows.
• Use Apify's dataset export tools to download the rows for your own analysis.

❓ FAQ

Can I use company names instead of slugs?

Use an AmbitionBox company slug, such as tcs, infosys, or wipro, or paste a supported AmbitionBox company URL. Plain company names are not the documented input format.

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.

Can this scrape AmbitionBox salary or interview data?

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

Is this an official AmbitionBox API?

No. This Actor collects public review pages and saves the rows in the run's default dataset. It is not an official AmbitionBox API.

Does this scrape AmbitionBox website reviews?

Yes. The Actor reads public AmbitionBox company review pages and saves structured review rows. It does not read private content or logged-in account data.

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.

Why did my run return fewer reviews than the limit?

The Actor stops when it reaches your limit or when AmbitionBox has no more matching public reviews for the target and filters. Rating, job profile, location, work-policy, and verified-only filters can reduce the number of saved rows.

What are AmbitionBox alternatives?

For employer review research, you can compare this export with another workplace-review source such as TeamBlind. This Actor is only for AmbitionBox employee review pages.

📝 Changelog

v1.1 (10-09-2026)

• Adds direct review links, review and job IDs, work details, benefits, view counts, and company insight breakdowns to saved rows.
• Charges one event for each review saved to the dataset.
• Shows clear closing messages after a successful run.

v1.0

• Improved review output quality by saving each source review once per run and removing low-value source tracking fields from dataset rows.

v0.0

• Initial release.

🆘 Support

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

🔗 Related Actors

• TeamBlind Reviews Scraper ↗ - Compare public company review data from a second workplace-review source.
• Ambitionbox Reviews Scraper ↗ - Compare another AmbitionBox review export when checking field coverage.
• AmbitionBox Reviews Scraper (/w EMAILS) ↗ - Explore another AmbitionBox employee-review workflow.
• AmbitionBox Reviews Scraper ↗ - Check another AmbitionBox review scraper for filtered workplace research.
• AmbitionBox Employee Reviews & Ratings Scraper ↗ - Compare AmbitionBox employee ratings and workplace fields with another scraper.

Made with ❤️ by Maxime Dupré