# AmbitionBox Scraper — Reviews, Salaries & Interviews (`bovi/ambitionbox-reviews-scraper`) Actor Scrape AmbitionBox (India) employee reviews, salary data, and interview Q\&A for any company. 7 sub-ratings, work policy, verified flag, employer responses. Multi-type: reviews + salaries + interviews. Akamai-aware via Apify RESIDENTIAL IN. Pay per result. - **URL**: https://apify.com/bovi/ambitionbox-reviews-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Jobs, Marketing, MCP servers - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.45 / 1,000 review / records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## AmbitionBox Scraper — Reviews, Salaries & Interviews **India's #1 employer-intelligence dataset.** Extract employee reviews, salary benchmarks, and interview Q&A from [AmbitionBox.com](https://www.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) ```json { "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) ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?actors=bovi/ambitionbox-reviews-scraper", "headers": { "Authorization": "Bearer " } } } } ``` ### 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. # Actor input Schema ## `companies` (type: `array`): List of company slugs or AmbitionBox URLs to scrape. Accepts bare slugs (e.g. 'tcs', 'infosys', 'wipro'), review URLs (https://www.ambitionbox.com/reviews/tcs-reviews), or overview URLs. Slugs are the URL-safe company name on AmbitionBox. ## `dataType` (type: `string`): What to scrape per company: 'reviews' (employee reviews with 7 sub-ratings, pros/cons, work policy), 'salaries' (salary ranges by role), 'interviews' (interview Q\&A and experience), or 'all' (all three types). ## `maxItemsPerCompany` (type: `integer`): Maximum records to return per company (per data type). E.g. 3 companies × maxItems 100 = up to 300 rows. Default 100. ## `proxyConfiguration` (type: `object`): Apify proxy settings. AmbitionBox is Akamai-protected — Apify RESIDENTIAL IN (India) is required. Datacenter IPs are blocked. Default prefill uses Indian residential proxies. ## `maxConcurrency` (type: `integer`): Parallel requests. AmbitionBox Akamai handles 3-5 well via RESIDENTIAL IN. Higher values may trigger rate-limiting. ## Actor input object example ```json { "companies": [ "tcs", "https://www.ambitionbox.com/reviews/wipro-reviews" ], "dataType": "reviews", "maxItemsPerCompany": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "maxConcurrency": 4 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Ambitionbox Reviews Scraper records (companySlug, dataType, reviewTitle, overallRating, jobProfileName, locationName, pros, cons, employmentType, publishedAt, reviewUrl, parse\_confidence). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companies": [ "tcs", "infosys" ], "dataType": "reviews", "maxItemsPerCompany": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "maxConcurrency": 4 }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/ambitionbox-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companies": [ "tcs", "infosys", ], "dataType": "reviews", "maxItemsPerCompany": 100, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, "maxConcurrency": 4, } # Run the Actor and wait for it to finish run = client.actor("bovi/ambitionbox-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companies": [ "tcs", "infosys" ], "dataType": "reviews", "maxItemsPerCompany": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "maxConcurrency": 4 }' | apify call bovi/ambitionbox-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/ambitionbox-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AmbitionBox Scraper — Reviews, Salaries & Interviews", "description": "Scrape AmbitionBox (India) employee reviews, salary data, and interview Q&A for any company. 7 sub-ratings, work policy, verified flag, employer responses. Multi-type: reviews + salaries + interviews. Akamai-aware via Apify RESIDENTIAL IN. Pay per result.", "version": "0.1", "x-build-id": "iiKvPQ3Z5H4Sad5RE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~ambitionbox-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-ambitionbox-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~ambitionbox-reviews-scraper/runs": { "post": { "operationId": "runs-sync-bovi-ambitionbox-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~ambitionbox-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-ambitionbox-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "List of company slugs or AmbitionBox URLs to scrape. Accepts bare slugs (e.g. 'tcs', 'infosys', 'wipro'), review URLs (https://www.ambitionbox.com/reviews/tcs-reviews), or overview URLs. Slugs are the URL-safe company name on AmbitionBox.", "items": { "type": "string" } }, "dataType": { "title": "Data type", "enum": [ "reviews", "salaries", "interviews", "all" ], "type": "string", "description": "What to scrape per company: 'reviews' (employee reviews with 7 sub-ratings, pros/cons, work policy), 'salaries' (salary ranges by role), 'interviews' (interview Q&A and experience), or 'all' (all three types).", "default": "reviews" }, "maxItemsPerCompany": { "title": "Max items per company", "minimum": 1, "type": "integer", "description": "Maximum records to return per company (per data type). E.g. 3 companies × maxItems 100 = up to 300 rows. Default 100.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. AmbitionBox is Akamai-protected — Apify RESIDENTIAL IN (India) is required. Datacenter IPs are blocked. Default prefill uses Indian residential proxies." }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Parallel requests. AmbitionBox Akamai handles 3-5 well via RESIDENTIAL IN. Higher values may trigger rate-limiting.", "default": 4 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```