# France Egapro Equality Index: Gender Pay Gap by Company (`datacraft-studio/france-egapro-equality-index`) Actor

Official French gender equality index (Index Egapro) for every company and UES with 50+ employees: overall score out of 100, five indicator scores, headcount band, NAF, department, history since 2018. Pay per company.

- **URL**: https://apify.com/datacraft-studio/france-egapro-equality-index.md
- **Developed by:** [Yahya Nouali](https://apify.com/datacraft-studio) (community)
- **Categories:** Business, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 equality index delivereds

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?

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

## France Egapro Equality Index: Gender Pay Gap by Company

Get the **official French gender equality index (Index Egapro)** for every company and economic and social unit (UES) with **50 or more employees**, straight from the French Ministry of Labour open data:

- **Overall index** out of 100 (legal threshold 75; publication threshold 85)
- The **five indicator scores**: pay gap, individual raises, promotions, maternity-leave return, top-pay band
- **Headcount band**, **NAF/APE** activity, **department** and **region**
- **History since 2018** and the **1-year change** of the index
- Flags when the company is **below 75** (corrective measures required) or **below 85**

No scraping, no account, no API key: the Actor downloads the official national XLSX published on [egapro.travail.gouv.fr](https://egapro.travail.gouv.fr/) (also listed on data.gouv.fr under Licence Ouverte 2.0).

### Who uses it

- **ESG / compliance / KYB teams**: screen suppliers and portfolio companies on the legal equality index.
- **HR tech and payroll tools**: enrich company profiles with the latest declared score and history.
- **Journalists, researchers and unions**: rank sectors, departments or NAF codes, find companies below 75.
- **Investors and due diligence**: track whether a target’s index improved or dropped year over year.

### Input examples

Two SIRENs (Danone + L'Oréal):

```json
{ "sirens": ["552081317", "632012100"] }
```

Companies in Rhône (69) with an index below 75, lowest first:

```json
{ "departments": ["69"], "belowThreshold": true, "onlyWithIndex": true, "sortBy": "indexAsc", "maxItems": 50 }
```

Tech companies (NAF 62) in Île-de-France, latest year:

```json
{ "nafPrefixes": ["62"], "regions": ["Île-de-France"], "onlyWithIndex": true, "maxItems": 100 }
```

### Output (one row per company / UES)

| Field | Meaning |
|---|---|
| siren, companyName, structureType | Identity (company or UES) |
| year, headcountBand, nafCode, nafLabel | Declaration context |
| departmentCode, departmentName, regionName | Location |
| indexScore | Global index /100 |
| payGapScore, raiseGapScore, promotionGapScore, maternityReturnScore, topPayScore | Indicator scores |
| belowLegalThreshold, belowPublishThreshold | index < 75 / < 85 |
| history\[], indexChange1y | Previous years + 1-year delta |
| source, sourceLicence, sourceDataDate | Citation (Licence Ouverte 2.0) |

A final **run_summary** row gives the year, counts, individuals excluded and the source date (not charged).

Sole-trader-looking names without a legal-form token are excluded (personal data). The underlying file only covers employers with 50+ staff.

### Pricing

**$0.002 per company delivered** (pay per event). About 30,000 declarations per year; use `maxItems` and your run cost limit to control the budget. The summary row and filtered-out rows are free.

### Source & licence

- Source: Ministère du Travail — Index Egapro (`index-egalite-fh.xlsx`)
- Dataset: [data.gouv.fr](https://www.data.gouv.fr/datasets/index-egalite-professionnelle-f-h-des-entreprises-de-50-salaries-ou-plus)
- Licence: **Licence Ouverte / Open Licence 2.0** (Etalab) — commercial reuse allowed with attribution
- Always cite the source and the `sourceDataDate` returned in each row

# Changelog

This Actor's version history is a separate document: https://apify.com/datacraft-studio/france-egapro-equality-index/changelog.md

# Actor input Schema

## `sirens` (type: `array`):

9-digit SIREN identifiers to look up (e.g. 632012100 for L'Oréal, 615680089 for DELABIE).

## `companyNameContains` (type: `array`):

Keep companies whose name contains one of these strings (accent-insensitive).

## `departments` (type: `array`):

Department codes (69, 2A, 974) or official names (Rhône, Nord).

## `regions` (type: `array`):

Region names as published by Egapro (e.g. Île-de-France, Auvergne-Rhône-Alpes).

## `nafPrefixes` (type: `array`):

Keep companies whose NAF code starts with one of these prefixes (e.g. 62, 62.01, 49.41).

## `year` (type: `string`):

Index year, e.g. 2025. Empty = latest year published in the official file.

## `headcountBands` (type: `array`):

Exact Egapro bands to keep, e.g. "50 à 250", "251 à 999", "1000 et plus".

## `structure` (type: `string`):

Company only, UES (economic and social unit) only, or both.

## `minIndex` (type: `string`):

Only companies with an index ≥ this value (0-100).

## `maxIndex` (type: `string`):

Only companies with an index ≤ this value (0-100).

## `onlyWithIndex` (type: `boolean`):

Drop declarations where the index is NC / not calculable.

## `belowThreshold` (type: `boolean`):

Only companies whose published index is strictly below 75 (corrective measures required).

## `includeHistory` (type: `boolean`):

Attach previous years' index and pay-gap scores for each delivered SIREN, plus the 1-year change.

## `allFrance` (type: `boolean`):

Every declaration of the selected year (~30,000). Mind maxItems and your cost limit.

## `sortBy` (type: `string`):

Sort delivered companies by index (lowest or highest first), by name, or keep file order.

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

Hard cap on how many companies are charged and returned (default 1000, max 50000).

## Actor input object example

```json
{
  "sirens": [
    "632012100",
    "615680089"
  ],
  "structure": "any",
  "onlyWithIndex": false,
  "belowThreshold": false,
  "includeHistory": true,
  "allFrance": false,
  "sortBy": "indexAsc",
  "maxItems": 1000
}
```

# Actor output Schema

## `companies` (type: `string`):

One row per company or UES Egapro declaration.

## `summary` (type: `string`):

Year, counts, individuals excluded and source date.

# 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 = {
    "sirens": [
        "632012100",
        "615680089"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datacraft-studio/france-egapro-equality-index").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 = { "sirens": [
        "632012100",
        "615680089",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("datacraft-studio/france-egapro-equality-index").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 '{
  "sirens": [
    "632012100",
    "615680089"
  ]
}' |
apify call datacraft-studio/france-egapro-equality-index --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datacraft-studio/france-egapro-equality-index"
        }
    }
}
```

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/XfKEPUTsDOxIxdgpi/builds/AsW55E5pQyradKs9X/openapi.json