# Ambition Benefit Scraper (`getdataforme/ambition-benefit-scraper`) Actor

The Ambition Benefit Scraper extracts detailed employee reviews and benefits info for companies, aiding market research and competitive analysis....

- **URL**: https://apify.com/getdataforme/ambition-benefit-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

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

## Ambition Benefit Scraper

### Introduction

The Ambition Benefit Scraper is a powerful tool designed to extract detailed employee reviews and benefits information for specific companies. This Actor leverages advanced web scraping techniques to provide insights into company culture, employee satisfaction, and workplace policies, aiding in market research and competitive analysis.

### Features

- **Comprehensive Data Extraction**: Gathers detailed reviews and benefits information from company profiles.
- **High Data Quality**: Ensures accurate and up-to-date information by using reliable proxy configurations.
- **Performance Efficiency**: Optimized for fast and efficient data retrieval.
- **Customizable Inputs**: Allows users to specify target companies for tailored results.
- **Scalable Solution**: Capable of handling multiple requests and large datasets.
- **User-Friendly Interface**: Easy setup and configuration through the Apify platform.
- **Secure Data Handling**: Utilizes Apify's secure infrastructure to protect data integrity.

### Input Parameters

| Parameter          | Type   | Required | Description                                                                 | Example         |
|--------------------|--------|----------|-----------------------------------------------------------------------------|-----------------|
| `companyName`      | String | Yes      | Enter the company name to scrape benefits for.                              | "federal-bank"  |
| `proxyConfiguration` | Object | No       | Specifies proxy servers used by the scraper to hide its origin.              | `{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` |

### Example Usage

#### Example Input

```json
{
  "companyName": "federal-bank",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

#### Example Output

```json
[
  {
    "id": 79099988,
    "companyName": "federal-bank",
    "urlName": "federal-bank",
    "likesText": "Nothing, Fraud Bank",
    "disLikesText": "This organisation runs on office politics, not professionalism...",
    "jobLocation": {
      "id": "1",
      "urlName": "mumbai",
      "name": "Mumbai"
    },
    "division": "Software Development",
    "overallCompanyRating": 1,
    "workPolicy": "WFO",
    "employmentType": "permanent",
    "userName": "Anonymous",
    "reviewTitle": "rated by an IT Officer in Mumbai",
    "scrapedAt": "2026-04-30T09:12:25.318Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gain insights into employee satisfaction and company culture.
- **Competitive Intelligence**: Compare benefits and workplace policies across competitors.
- **Content Aggregation**: Compile reviews and ratings for publication or analysis.
- **Business Automation**: Automate the collection of employee feedback for HR analytics.
- **Academic Research**: Study workplace trends and employee sentiments.

### Installation and Usage

1. Search for "Ambition Benefit Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array containing objects with fields such as `companyName`, `likesText`, `disLikesText`, `jobLocation`, `overallCompanyRating`, and `reviewTitle`. Each field provides specific insights into the company's employee reviews and benefits.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `companyName` (type: `string`):

Enter the company name to scrape benefits for (e.g., federal-bank)

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "companyName": "federal-bank",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "companyName": "federal-bank",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/ambition-benefit-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 = {
    "companyName": "federal-bank",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/ambition-benefit-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 '{
  "companyName": "federal-bank",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/ambition-benefit-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/ambition-benefit-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/2jvBndlDUXtKOFbdz/builds/ZgwVfNfnJhBMUdBwy/openapi.json