# AmbitionBox Scraper 🔥 $0.40/1K | Reviews, Salaries, Questions (`azzouzana/ambitionbox-scraper`) Actor

Fast - From $0.40/1K 💰 Scrape AmbitionBox and get reviews, salaries, interview questions, benefits & much more! One flat row per result, with the company name on every row. Export JSON, CSV, Excel, or API. Start now! 🚀

- **URL**: https://apify.com/azzouzana/ambitionbox-scraper.md
- **Developed by:** [Azzouzana](https://apify.com/azzouzana) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / 1,000 results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AmbitionBox Reviews, Salaries & Interviews Scraper

Copying AmbitionBox by hand is a slow loop of reviews, salary tables, and interview pages. Paste a company and the ratings, pay, questions, and benefits land in your dataset.

👉 [Start free on Apify](https://apify.com/sign-up?fpr=cbgdsf), **no credit card required.**

### Engineering Excellence & Reliability 🚀

- **Company**: Paste a slug such as `tcs`, a name such as `Tata Consultancy Services`, or any AmbitionBox company URL. A long slug is resolved to the public company (`tata-consultancy-services` becomes `tcs`).
- **One run, several pages**: Reviews, salaries, interviews, benefits, and the company overview. A URL picks that page. A slug uses **Data types**.
- **Full review lists**: Reviews past the site's first 10,000 are included. Duplicates are skipped.
- **Full public records**: Names, photos, answers, and company email and phone are kept when AmbitionBox returns them.
- **Ready to use**: clean JSON, CSV, Excel, or API. One record is one row.

### ▶️ Start

1. 👉 [Create a free Apify account](https://apify.com/sign-up?fpr=cbgdsf), **no credit card required.**
2. Open this actor, paste a company, and choose the pages below.
3. Hit **Start** and download JSON, CSV, Excel, or pull the rows via API.

### 🛠️ How to use

A slug or name uses **Data types**. A URL selects its own page:

- `https://www.ambitionbox.com/reviews/tcs-reviews`
- `https://www.ambitionbox.com/salaries/tcs-salaries`
- `https://www.ambitionbox.com/interviews/tcs-interview-questions`
- `https://www.ambitionbox.com/overview/tcs-overview`
- `https://www.ambitionbox.com/benefits/tcs-benefits`

A `/jobs/...` link is not scraped. The run exits with the status message **AmbitionBox job pages are not scraped.**

**🎚️ Filters & options**

- **`maxItems`**: How many reviews, salary roles, benefits, interview questions, and interview experiences to save per company. Default 20. The company overview and the salary and interview summaries are one extra row each.
- **`jobProfile`**: Review filter. Role slug, for example `system-engineer`.
- **`location`**: Review filter. City slug, for example `pune`.
- **`workPolicy`**: `WFO`, `WFH`, or `Hybrid`.
- **`verified`**: Keep reviews AmbitionBox marks as verified.
- **`sort`**: `latest` or `popular`.
- **`minRating` / `maxRating`**: Overall rating from 1 to 5.

| Field | Type | Description |
|-------|------|-------------|
| `companies` | Array | **(Required)** Slugs, company names, or AmbitionBox URLs. Default: `["tcs"]`. |
| `dataTypes` | Array | `reviews`, `salaries`, `interviews`, `benefits`, `overview`. Used for slugs and names. Default: `["reviews"]`. |
| `maxItems` | Number | Cap per company for reviews, salary roles, benefits, questions, and experiences. Default: 20. |
| `jobProfile` | String | Review filter. Role slug, for example `system-engineer`. |
| `location` | String | Review filter. City slug, for example `pune`. |
| `workPolicy` | String | `WFO`, `WFH`, or `Hybrid`. |
| `verified` | Boolean | Verified reviews only. Default: false. |
| `sort` | String | `latest` or `popular`. |
| `minRating` | Number | Keep reviews at or above this rating (1–5). |
| `maxRating` | Number | Keep reviews at or below this rating (1–5). |

#### Example 1: TCS reviews and overview

```json
{
    "companies": ["tcs"],
    "dataTypes": ["reviews", "overview"],
    "maxItems": 20
}
```

#### Example 2: Infosys salaries from a URL

```json
{
    "companies": ["https://www.ambitionbox.com/salaries/infosys-salaries"],
    "maxItems": 50
}
```

### 🆓 Free tier limitations

We want you to see how this actor works before you commit. To keep things fair for everyone, the **free tier** includes these trial limits:

- **Sample data:** up to **5 items** per run. Salary roles and benefits count toward that 5.
- **Daily cap:** **5 runs** per calendar day (UTC).
- **Between runs:** at least **60 seconds** before you can start another run.

#### Upgrade when you're ready!

Use the free tier to decide if this actor fits your project. Paid Apify plans remove these wait times and caps so you can run at full volume—[**upgrade to a paid plan**](https://apify.com/pricing?fpr=cbgdsf).

### 📦 What’s in the Box?

Every data row is flat: `dataType`, `companyId`, `companyName`, and `companySlug` sit next to the rest of the columns, so a CSV export is one column per field. Lists such as chips, topics, and interview rounds are joined into a single text column. Names, photos, answers, and contact fields are kept when AmbitionBox returns them.

| `dataType` | What you get |
| --- | --- |
| `overview` | One company row. Rating, seven sub-ratings, distribution, industry, HQ, size, logo, email, phone, counts. |
| `review` | One review. Title, overall rating, seven sub-ratings, likes, dislikes, role, location, work policy, reviewer, URL. |
| `salaryOverview` | Company salary summary. |
| `salaryByDesignation` | One role, up to `maxItems`. CTC in INR and LPA, experience band, data-point count. |
| `salaryRecord` | One salary submission, up to `maxItems`, when AmbitionBox returns individual submissions. |
| `interviewInsights` | One summary. Count, experience rating, difficulty split, duration split. |
| `interviewQuestion` | One question, its answer, answer count, and URL. |
| `interviewExperience` | One interview card. Role, difficulty, outcome, rounds, questions, and the posted name. |
| `benefit` | One benefit, up to `maxItems`. Name, category, and the share of employees who report it. |

#### overview

```json
{
    "dataType": "overview",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "title": "TCS",
    "canonicalUrl": "https://www.ambitionbox.com/overview/tcs-overview",
    "logo": "https://static.ambitionbox.com/assets/v2/images/rs:fit:200:200:false:false/aHR0cHM6Ly9tZWRpYS5uYXVrcmkuY29tL21lZGlhL2FiY29tcGxvZ28vdGNzLW9yaWdpbmFsLmpwZw.webp",
    "website": "https://www.tcs.com/",
    "email": "web.admin@rpcm.com.my",
    "phone": "67789393",
    "industry": "IT Services & Consulting",
    "hq": "Mumbai, Maharashtra",
    "foundedYear": "1968",
    "employeeCount": "100001+",
    "overallRating": 3.2,
    "avgJobSecurity": 3.7,
    "avgWorkLife": 3.4,
    "avgCompanyCulture": 3.2,
    "avgSkillDevelopment": 3.1,
    "avgWorkSatisfaction": 3,
    "avgCompensationBenefits": 2.4,
    "avgCareerGrowth": 2.2,
    "rating1Count": 10119,
    "rating1Percent": 8.22,
    "rating2Count": 14012,
    "rating2Percent": 11.38,
    "rating3Count": 25179,
    "rating3Percent": 20.45,
    "rating4Count": 34870,
    "rating4Percent": 28.32,
    "rating5Count": 38958,
    "rating5Percent": 31.64,
    "reviewCount": 123138,
    "interviewCount": 11521,
    "interviewQuestionCount": 5400,
    "salaryCount": 1056967,
    "jobCount": 3479,
    "photoCount": 101,
    "benefitCount": 11376
}
```

#### review

```json
{
    "dataType": "review",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "reviewId": 82170695,
    "userId": 0,
    "userName": "Anonymous",
    "reviewUrl": "https://www.ambitionbox.com/reviews/tcs-reviews?rid=82170695",
    "reviewTitle": "rated by a System Engineer in Pune",
    "overallRating": 4,
    "ratingSalary": 3,
    "ratingSkillDevelopment": 4,
    "ratingJobSecurity": 4,
    "ratingPromotions": 2,
    "ratingWorkSatisfaction": 3,
    "ratingCompanyCulture": 4,
    "ratingWorkLifeBalance": 4,
    "likesText": "Learning and job security.",
    "dislikesText": "Promotions are slow.",
    "likesChip": "Job Security",
    "dislikesChip": "Promotions",
    "workDescription": "Support and small development tasks.",
    "benefitsText": "Health insurance.",
    "jobProfile": "System Engineer",
    "jobProfileSlug": "system-engineer",
    "division": "Quality Assurance and Testing",
    "location": "Pune",
    "employmentType": "permanent",
    "workPolicy": "Hybrid",
    "workPolicyOther": "3 days/week",
    "workDays": "5 days",
    "workTiming": "Strict Timings",
    "travel": "No Travel",
    "experience": "2-5 years",
    "startDate": null,
    "endDate": null,
    "currentEmployee": true,
    "facilities": null,
    "workDescriptionTags": null,
    "beyondWorkHours": "Occasionally",
    "contentTypeLabel": "LATEST",
    "verified": true,
    "featured": false,
    "employerResponded": false,
    "contested": false,
    "helpfulCount": 4,
    "notHelpfulCount": 0,
    "views": 120,
    "created": "2026-10-06 11:05:42",
    "modified": "2026-10-06 11:09:05"
}
```

#### salaryOverview

```json
{
    "dataType": "salaryOverview",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "averageCtc": 850000,
    "averageCtcLpa": 8.5,
    "salaryDataPoints": 1056967,
    "lastUpdated": "2026-10-11 18:15:13"
}
```

#### salaryByDesignation

```json
{
    "dataType": "salaryByDesignation",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "designationId": 29,
    "designation": "System Engineer",
    "designationUrlName": "system-engineer",
    "avgCtc": 574002,
    "minCtc": 240000,
    "maxCtc": 1400000,
    "typicalMinCtc": 409000,
    "typicalMaxCtc": 780000,
    "avgCtcLpa": 5.74,
    "minCtcLpa": 2.4,
    "maxCtcLpa": 14,
    "typicalMinCtcLpa": 4.09,
    "typicalMaxCtcLpa": 7.8,
    "minExperienceYears": 0,
    "maxExperienceYears": 2,
    "salaryDataPoints": 106474,
    "jobsCount": 12
}
```

#### salaryRecord

```json
{
    "dataType": "salaryRecord",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "designation": "System Engineer",
    "designationId": 29,
    "designationUrlName": "system-engineer",
    "ctc": 620000,
    "ctcLpa": 6.2,
    "experienceYears": 2,
    "location": "Pune",
    "submittedOn": "2026-09-12 10:00:00"
}
```

#### interviewInsights

```json
{
    "dataType": "interviewInsights",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "interviewCount": 11521,
    "questionCount": 5400,
    "experienceRating": 4.05,
    "difficultyEasy": 29.25,
    "difficultyModerate": 65.73,
    "difficultyHard": 5.02,
    "duration": "Less than 2 weeks: 58.46; 2-4 weeks: 23.88; 4-6 weeks: 7.87; 6-8 weeks: 3.53; More than 8 weeks: 6.26",
    "experienceLevels": "Experienced: 8000; Fresher: 2055",
    "verdicts": "Selected: 4200; No response: 3100"
}
```

Difficulty numbers and duration percentages are shares of interviews. Experience and verdict numbers are headcounts.

#### interviewQuestion

```json
{
    "dataType": "interviewQuestion",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "question": "What is a Java Singleton class?",
    "answer": "A Java Singleton class ensures only one instance of the class exists.",
    "answersCount": 1,
    "jobProfile": "Senior Consultant",
    "topics": null,
    "createdOn": "2026-09-20",
    "questionUrl": "https://www.ambitionbox.com/interviews/question/what-is-a-java-singleton-class-b6Mqsz0x5"
}
```

#### interviewExperience

```json
{
    "dataType": "interviewExperience",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "interviewId": 13540559,
    "userName": "srinidhi vangala",
    "userImage": "https://lh3.googleusercontent.com/a/ACg8ocIWD2QYZ8RhxpvVNfyrNsdac5xZQydlsEDL_VMPZg9r6MWXMw=s96-c",
    "role": "Senior Consultant",
    "difficulty": "Moderate",
    "verdict": "No response",
    "experienceRating": 4,
    "experienceLevel": "experienced",
    "duration": "Less than 2 weeks",
    "interviewDate": "in Aug 2026",
    "rounds": 2,
    "questions": "What is a Java Singleton class?\nExplain the difference between a process and a thread.",
    "answers": "A Java Singleton class ensures only one instance of the class exists.\n",
    "shareUrl": "https://www.ambitionbox.com/interviews/tcs-interview-questions?rid=13540559"
}
```

#### benefit

```json
{
    "dataType": "benefit",
    "companyId": 42,
    "companyName": "TCS",
    "companySlug": "tcs",
    "benefitName": "Cafeteria",
    "category": "Office Perks",
    "benefitIdentifier": "opbCafeOfrd",
    "available": true,
    "availableCount": 5167,
    "unavailableCount": 15,
    "totalCount": 5190,
    "availableShare": 0.996
}
```

### Contact 📬

**Need a custom solution? Have a feature request or just want to chat?**
We'd love to hear from you!

- 💬 **Discord**: `@azzouzana`
- 📧 **Email**: <labs@azzouzana.com>

### ⚠️ Disclaimer

This actor is not affiliated with AmbitionBox or Info Edge. It collects publicly available company reviews, salaries, interviews, and benefits. You are responsible for following AmbitionBox’s terms and the laws that apply to you. More on the legal side of web data: [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal?fpr=cbgdsf)

### Keywords

AmbitionBox, AmbitionBox scraper, company reviews, employee reviews, salary data, CTC, LPA, interview questions, interview experiences, employee benefits, TCS reviews, Infosys salaries, India jobs, employer brand, hiring research, JSON, CSV

# Actor input Schema

## `companies` (type: `array`):

Company slugs, names, or AmbitionBox URLs. A URL selects that page. A slug or name uses Data types.

## `dataTypes` (type: `array`):

Surfaces to collect when the company is a slug or name. A company URL overrides this for that company.

## `maxItems` (type: `integer`):

Maximum reviews, salary roles, benefits, interview questions, and interview experiences per company. The company overview and the salary and interview summaries are one row each.

## `jobProfile` (type: `string`):

Review filter. AmbitionBox job-profile slug, for example system-engineer.

## `location` (type: `string`):

Review filter. City slug, for example pune.

## `workPolicy` (type: `string`):

Review filter.

## `verified` (type: `boolean`):

Keep reviews AmbitionBox marks as verified.

## `sort` (type: `string`):

Review list order.

## `minRating` (type: `integer`):

Keep reviews at or above this overall rating.

## `maxRating` (type: `integer`):

Keep reviews at or below this overall rating.

## Actor input object example

```json
{
  "companies": [
    "tcs"
  ],
  "dataTypes": [
    "reviews"
  ],
  "maxItems": 20,
  "verified": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "tcs"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("azzouzana/ambitionbox-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": ["tcs"] }

# Run the Actor and wait for it to finish
run = client.actor("azzouzana/ambitionbox-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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"
  ]
}' |
apify call azzouzana/ambitionbox-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,azzouzana/ambitionbox-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fMBOLwE63lcavLeXa/builds/9bXUJeWIUyTrKMaCW/openapi.json