# AmbitionBox Company Reviews Scraper (`hgservices/ambitionbox-company-reviews-scraper`) Actor

Extract reviews for any company listed on AmbitionBox.com — ratings, pros, cons, job titles, and more. Get structured JSON output via API, MCP, or Console.

- **URL**: https://apify.com/hgservices/ambitionbox-company-reviews-scraper.md
- **Developed by:** [Harish Garg](https://apify.com/hgservices) (community)
- **Categories:** Jobs, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 scraped reviews

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Company Reviews Scraper — Extract Employee Reviews Data

### What does AmbitionBox Company Reviews Scraper do?

**AmbitionBox Company Reviews Scraper** extracts structured employee review data from [AmbitionBox.com](https://www.ambitionbox.com), India's leading employer review platform with **thousands of listed companies**. It collects **company reviews** in clean JSON format for any company on the site — including ratings, pros, cons, job profiles, and work policy details.

Use it through the Apify API, MCP integration, or the Apify Console. Schedule runs to track employer sentiment over time. Combine it with other Apify Actors to build HR analytics pipelines.

### Why use AmbitionBox Company Reviews Scraper?

- **HR research** — Compare company ratings, culture scores, and employee sentiment across employers.
- **Employer branding** — Monitor how employees rate your company on work-life balance, culture, and growth.
- **Market intelligence** — Track employer sentiment for investment research, recruitment, or consulting.
- **Competitive analysis** — Compare review trends between competing employers.
- **Sentiment analysis** — Feed structured review text into NLP pipelines to detect themes and trends.

### How to scrape AmbitionBox reviews

1. Go to the AmbitionBox Company Reviews Scraper page on Apify.
2. Select companies from the **Popular Companies** dropdown (175+ pre-loaded), type custom company slugs, or paste direct AmbitionBox review URLs.
3. Set the **Maximum Reviews per Company** (default: 100, minimum: 20).
4. Click **Start** to run the Actor.
5. Download the results in JSON, CSV, Excel, or HTML format from the Output tab.

#### Use via API

Call the Actor through the [Apify API](https://docs.apify.com/api/v2) to integrate AmbitionBox review data into your applications.

```json
{
    "companySlugs": ["tcs", "infosys", "wipro"],
    "maxItems": 100
}
```

#### Use via MCP

AI agents and tools (such as Claude, GPT, or custom agents) can call this Actor through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp). The MCP integration lets AI agents extract AmbitionBox reviews as part of larger workflows.

### Input

The Actor accepts these input parameters:

| Parameter | Type | Required | Description |
|---|---|---|---|
| `startUrls` | array | No | Direct AmbitionBox review URLs to scrape (e.g. `https://www.ambitionbox.com/reviews/tcs-reviews`). |
| `companySlugs` | array | No | Select from 175+ popular Indian companies (TCS, Infosys, Wipro, Amazon, Google, etc.). |
| `customSlugs` | array | No | Type any company slug not in the popular list. The slug is the URL path segment (e.g. `tcs` from `ambitionbox.com/reviews/tcs-reviews`). |
| `maxItems` | integer | No | Maximum reviews per company. Default: 100. Minimum: 20. |

You must provide at least one company source (`startUrls`, `companySlugs`, or `customSlugs`).

### Output

The Actor stores results in the default dataset. You can download the dataset in various formats such as JSON, CSV, HTML, or Excel.

#### Output example

```json
{
    "id": 12345678,
    "companyName": "TCS",
    "companySlug": "tcs",
    "jobProfileName": "System Engineer",
    "jobLocation": "Chennai",
    "overallCompanyRating": 4,
    "reviewTitle": "Good for freshers",
    "likesText": "Job security is very good...",
    "disLikesText": "Salary hike is very low...",
    "salaryRating": 2,
    "workLifeBalanceRating": 4,
    "jobSecurityRating": 5,
    "companyCultureRating": 3,
    "skillDevelopmentRating": 3,
    "promotionsRating": 2,
    "workSatisfactionRating": 3,
    "employmentType": "Full Time",
    "workPolicy": "Work from Office",
    "verified": true,
    "created": "2024-08-15T10:30:00.000Z",
    "modifiedHumanReadable": "6 months ago",
    "helpfulCount": 12,
    "likesChip": ["Job Security", "Work-Life Balance"],
    "dislikesChip": ["Salary", "Promotions"],
    "url": "https://www.ambitionbox.com/reviews/tcs-reviews"
}
```

### Data fields

| Field | Description |
|---|---|
| `id` | Unique review ID |
| `companyName` | Company name |
| `companySlug` | Company URL slug |
| `companyId` | Company ID on AmbitionBox |
| `jobProfileName` | Reviewer's job title |
| `jobLocation` | Office location |
| `division` | Company division |
| `employmentType` | Full Time, Part Time, Intern, etc. |
| `workPolicy` | Work from Office, Remote, Hybrid |
| `reviewTitle` | Review headline |
| `overallCompanyRating` | Overall rating (1–5) |
| `salaryRating` | Salary satisfaction rating |
| `skillDevelopmentRating` | Skill development rating |
| `jobSecurityRating` | Job security rating |
| `promotionsRating` | Promotions rating |
| `workSatisfactionRating` | Work satisfaction rating |
| `companyCultureRating` | Company culture rating |
| `workLifeBalanceRating` | Work-life balance rating |
| `likesText` | What the reviewer liked (pros) |
| `disLikesText` | What the reviewer disliked (cons) |
| `likesChip` | Pros tags (array) |
| `dislikesChip` | Cons tags (array) |
| `helpfulCount` | Number of "helpful" votes |
| `verified` | Whether the review is verified |
| `created` | Review creation date |
| `modifiedHumanReadable` | Human-readable time since last update |
| `url` | Source page URL |

### How much does it cost to scrape AmbitionBox reviews?

The Actor uses pay-per-event pricing:

- **Company search** — One event per unique company you scrape.
- **Results scraped** — One event per review saved to the dataset.

Check the Pricing tab on the Actor page for current per-event rates.

**Tip:** Set a lower `maxItems` value to control costs. Start with 20 reviews to test the output before scaling up.

### Tips for best results

- **Start small** — Use `maxItems: 20` for your first run. Increase after you confirm the output meets your needs.
- **Use company slugs** — The Popular Companies dropdown covers 175+ companies. This is the fastest way to get started.
- **Find any company slug** — Visit the company on AmbitionBox.com. The slug is the URL path segment (e.g. `tcs` from `ambitionbox.com/reviews/tcs-reviews`).
- **Combine with other Actors** — Use the output with Glassdoor, LinkedIn, or Indeed scrapers for cross-platform employer analysis.

### FAQ and support

**Is it legal to scrape AmbitionBox?**
This Actor extracts publicly available data from AmbitionBox.com. Use the data responsibly and in compliance with applicable laws and the website's Terms of Service.

**What companies can I scrape?**
Any company listed on AmbitionBox.com — thousands of companies across all industries. The dropdown includes 175+ popular companies for convenience, but you can scrape any company by providing its URL or slug.

**How do I find a company's slug?**
Go to the company's page on AmbitionBox.com. The slug is the last part of the URL path. For example, in `ambitionbox.com/reviews/tcs-reviews`, the slug is `tcs`.

**Can I schedule recurring runs?**
Yes. Use Apify's scheduling feature to run the Actor on a daily, weekly, or custom schedule. This is useful for tracking changes in company ratings over time.

**I found a problem or need a custom solution.**
Open an issue in the Issues tab on the Actor page. For custom scraping needs, contact the developer.

# Actor input Schema

## `startUrls` (type: `array`):

Direct AmbitionBox review URLs to scrape (e.g. https://www.ambitionbox.com/reviews/tcs-reviews). The Actor detects the company from the URL automatically.

## `companySlugs` (type: `array`):

Select from a curated list of ~175 well-known companies. The Actor builds the review URLs automatically.

## `customSlugs` (type: `array`):

Type any company slug not in the Popular Companies list. The slug is the URL path segment, e.g. for ambitionbox.com/reviews/tcs-reviews the slug is "tcs".

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

Maximum number of reviews to scrape per company. One page returns approximately 20 reviews.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.ambitionbox.com/reviews/tcs-reviews"
    }
  ],
  "companySlugs": [
    "abb"
  ],
  "maxItems": 20
}
```

# Actor output Schema

## `reviews` (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 = {
    "startUrls": [
        {
            "url": "https://www.ambitionbox.com/reviews/tcs-reviews"
        }
    ],
    "companySlugs": [
        "abb"
    ],
    "maxItems": 20
};

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

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.ambitionbox.com/reviews/tcs-reviews" }],
    "companySlugs": ["abb"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("hgservices/ambitionbox-company-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.ambitionbox.com/reviews/tcs-reviews"
    }
  ],
  "companySlugs": [
    "abb"
  ],
  "maxItems": 20
}' |
apify call hgservices/ambitionbox-company-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hgservices/ambitionbox-company-reviews-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/y5UEv3xMlrsmNoNxt/builds/uj1K2Yf43enPhLIJH/openapi.json