# UK Gender Pay Gap — Employer Pay Gap Data (`noahadler/uk-gender-pay-gap`) Actor

Download official UK Gender Pay Gap employer reports by year: mean/median hourly gap, bonus gap, quartiles, SIC, company number. Open Government Licence CSV. No ResponsiblePerson PII. Filter by employer name or company number.

- **URL**: https://apify.com/noahadler/uk-gender-pay-gap.md
- **Developed by:** [Noah Adler](https://apify.com/noahadler) (community)
- **Categories:** Other, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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.

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

## UK Gender Pay Gap — Employer Pay Gap Data

Pull **official** UK [Gender Pay Gap](https://gender-pay-gap.service.gov.uk/) employer submissions by reporting year: mean/median hourly gap, bonus gaps, pay quartiles, SIC codes, company number.

Keywords: uk gender pay gap, gender pay gap scraper, employer pay gap API, gov.uk pay gap CSV.

### Why this Actor

- **Official CSV** from `gender-pay-gap.service.gov.uk/viewing/download-data/{year}` — not a scrape of HTML cards.
- **Filter** by employer name substring or company number.
- **No ResponsiblePerson** field (personal name excluded).

### Input

```json
{
  "reportingYear": 2025,
  "employerNameContains": "Limited",
  "maxItems": 50
}
```

### Output

One Dataset row per employer: `employerName`, `diffMeanHourlyPercent`, `diffMedianHourlyPercent`, bonus and quartile fields, `companyNumber`, `sicCodes`, `reportingYear`, `sourceUrl`.

### Legal / attribution

Contains public sector information licensed under the [Open Government Licence v3.0](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).

This Actor does **not** reproduce Crown logos and does **not** imply endorsement by GOV.UK.

### Limitations

- Data refreshes by reporting year; mid-year filings appear when the service publishes them.
- Large year files are streamed/filtered in memory up to `maxItems`.

# Actor input Schema

## `reportingYear` (type: `integer`):

Reporting year on gender-pay-gap.service.gov.uk (e.g. 2025 for 2025–2026). Available years typically 2017–current.

## `employerNameContains` (type: `string`):

Case-insensitive substring filter on EmployerName. Leave empty for first N rows of the year file.

## `companyNumber` (type: `string`):

Exact Companies House / company number match when set.

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

Maximum employer rows to return (1–5000).

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

Optional. Official CSV usually works without proxy.

## Actor input object example

```json
{
  "reportingYear": 2025,
  "employerNameContains": "Limited",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `employers` (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 = {
    "employerNameContains": "Limited"
};

// Run the Actor and wait for it to finish
const run = await client.actor("noahadler/uk-gender-pay-gap").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 = { "employerNameContains": "Limited" }

# Run the Actor and wait for it to finish
run = client.actor("noahadler/uk-gender-pay-gap").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 '{
  "employerNameContains": "Limited"
}' |
apify call noahadler/uk-gender-pay-gap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,noahadler/uk-gender-pay-gap"
        }
    }
}
```

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/etWs6a2ZatnyguGm4/builds/pY1K9lAdxaiHRK6eG/openapi.json