# Indeed Company Scraper — Ratings & Work Happiness (`thenetaji/indeed-company-scraper`) Actor

Size up employers in bulk. One row per company: the star rating and the five categories behind it, CEO approval, all fifteen dimensions of the work happiness survey, headcount and revenue bands, the reviews on the profile, and the company's own peer set.

- **URL**: https://apify.com/thenetaji/indeed-company-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Jobs, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $12.75 / 1,000 employers

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

## Indeed Company Scraper

Profile employers in bulk. One row per company, carrying the star rating and the five
categories behind it, CEO approval, all fifteen dimensions of Indeed's work happiness survey,
the company facts, the reviews shown on the profile, the roles it hires for, its locations,
and Indeed's own set of similar companies.

It is the data an employer-brand comparison needs, and it arrives one request per company
rather than one request per section.

### Accepted input

`companies` is required and is a list of employers, one per line, given as a company slug or a
profile link. `Stripe` and `https://www.indeed.com/cmp/Stripe` are the same employer, a
deeper page such as `/cmp/Stripe/reviews` reduces to the same one, and a company listed twice
is read once.

The slug is the part after `/cmp/` in a profile link. It is case-sensitive, and Indeed builds
it from the company's own name, so punctuation belongs to it:
`Xebia-IT-Architects-India-Pvt.-Ltd` is a real profile.

Every job row [Indeed Jobs Scraper](https://apify.com/thenetaji/indeed-jobs-scraper) saves
carries the employer's slug under `company_slug`, so its output feeds this Actor unchanged.

```json
{
  "companies": ["Stripe", "Saronic-Technologies", "https://www.indeed.com/cmp/Netflix"]
}
```

### Response fields

```json
{
  "company_slug": "Stripe",
  "company_name": "Stripe",
  "company_profile_url": "https://www.indeed.com/cmp/Stripe",
  "company_rating": 3.9,
  "company_review_count": 1204,
  "happiness_score": 64,
  "happiness_response_count": 27,
  "happiness_ratings": [
    { "category": "Compensation", "score": 76, "grade": "EXCELLENT" },
    { "category": "Stress-free", "score": 57, "grade": "POOR" }
  ],
  "ceo_approval": 77,
  "description": "Stripe is an American technology company, operating in over 20 countries...",
  "founded": 2010,
  "industry": "Information Technology",
  "revenue": "$25M to $100M",
  "employee_range": "1,001 to 5,000",
  "sectors": ["Information Technology"],
  "reviews": [{ "title": "Great place to grow", "rating": 4, "job_title": "Software Engineer" }],
  "job_titles": [{ "title": "Software Engineer", "job_count": 128 }],
  "company_locations": [{ "name": "San Francisco, CA", "rating": 4.0 }],
  "similar_companies": [{ "name": "Square", "rating": 3.7, "review_count": 2210 }]
}
```

Fields absent from a profile are returned as null rather than omitted, so every row has the
same shape.

`happiness_ratings` is the reason most people run this. It holds all fifteen dimensions of the
work happiness survey, each with its own score and letter grade: compensation, learning,
flexibility, support, purpose, energy, belonging, appreciation, management, satisfaction,
inclusion, trust, achievement, stress and the overall happiness question. `happiness_score` is
the composite of them and `happiness_response_count` is how many people answered.

`ceo_approval` is the percentage of surveyed employees who approve of the chief executive.

`review_ratings` breaks the star rating into its five categories — compensation and benefits,
culture, job security and advancement, management, and work-life balance — so a 3.9 can be read
as what it is made of.

`similar_companies` is Indeed's own peer set for the employer, each peer with its rating and
review volume. It is a benchmarking group that did not have to be assembled by hand, and every
name in it can be fed straight back into `companies`.

`revenue` and `employee_range` arrive from Indeed as internal band codes; they are rewritten
here into readable ranges such as `$25M to $100M` and `1,001 to 5,000`.

### Questions

**How many reviews come back per company?**
Five. The profile page embeds five reviews regardless of what `company_review_count` reports,
so treat `reviews` as a sample and `company_review_count` as the size of the set it was drawn
from. Deeper review pages are a separate part of the site that this Actor does not read.

**Why is `company_rating` null on a company that clearly has reviews?**
Because Indeed publishes a rating only once a profile has enough of them, and it states the
happiness survey and the rating independently. A measured profile returned a null rating
alongside 27 happiness responses and five embedded reviews. Read `company_review_count` before
concluding an employer is unrated.

**Why are `headquarters`, `website_url` and `revenue` often null?**
They are self-reported fields on the employer's own profile, and most employers fill in none
of them. The rating, the happiness survey and the reviews are published by Indeed rather than
by the employer, which is why they are the reliable half of the row.

**What happens when a slug is wrong?**
The company is skipped with a warning naming it and the run continues through the rest of the
list. Slugs are case-sensitive, so `stripe` and `Stripe` are not the same request — copy the
slug out of the profile link exactly as written, or use
[Indeed Jobs Scraper](https://apify.com/thenetaji/indeed-jobs-scraper), whose `company_slug`
column is always in the right case.

**Is `happiness_ratings` ever empty?**
Yes, on employers with too few survey responses for Indeed to publish one. The row still
carries the company facts, the rating and the reviews, so an empty survey is a thin row rather
than a failed one.

**Does the number of sections on a profile change the cost of a company?**
No. The whole profile arrives on one page, so a company with fifteen survey dimensions, five
reviews and eight peers costs exactly what a sparse one costs.

**Is an Indeed account, cookie or API key required?**
No. Nothing of the kind is supplied to the Actor or needed by it.

### Related Actors

[Indeed Jobs Scraper](https://apify.com/thenetaji/indeed-jobs-scraper) finds who is hiring and
carries the `company_slug` this Actor takes, which is the usual way to build the employer list
in the first place.

[Indeed Salary Scraper](https://apify.com/thenetaji/indeed-salary-scraper) answers the other
half of an employer comparison: what a title pays nationally, and which employers pay most for
it.

# Actor input Schema

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

Employers to profile, one per line, given as the company slug or a company profile link. `Stripe` and `https://www.indeed.com/cmp/Stripe` are the same employer.

The slug is the part after /cmp/ in a profile link, it is case-sensitive, and it is built from the company's own name, so punctuation belongs to it: `Xebia-IT-Architects-India-Pvt.-Ltd` is a real profile. Every job row the Jobs Scraper saves carries the employer's slug under `company_slug`.

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

Maximum number of rows to save across the whole run. Set 0 for no limit.

## Actor input object example

```json
{
  "companies": [
    "Stripe"
  ],
  "maxItems": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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": [
        "Stripe"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/indeed-company-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": ["Stripe"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/indeed-company-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": [
    "Stripe"
  ],
  "maxItems": 50
}' |
apify call thenetaji/indeed-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/indeed-company-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/0Kx9YLZBsRw1sc92J/builds/f8qFHFoXBGQr09Txo/openapi.json