# UK Gender Pay Gap Lookup: Employer Figures by Year (`accountable_eel/uk-gender-pay-gap-lookup`) Actor Look up UK gender pay gap reporting figures by employer name or company number: hourly wage and bonus pay gap percentages, quartiles, and submission history from gender-pay-gap.service.gov.uk. - **URL**: https://apify.com/accountable_eel/uk-gender-pay-gap-lookup.md - **Developed by:** [Adriana Voss](https://apify.com/accountable_eel) (community) - **Categories:** Business, Lead generation - **Features:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 1,000 employer report returneds 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 ## UK Gender Pay Gap Lookup: Employer Figures by Year **Look up official UK gender pay gap figures by employer name or company registration number in seconds.** Enter employer names or Companies House numbers and get one row per employer report: hourly pay gap percentages (mean and median), bonus pay gaps, quartile pay bands, company size, and submission status. Data is sourced directly from the official UK Gender Pay Gap service (gender-pay-gap.service.gov.uk), giving you authoritative statutory reporting figures across multiple snapshot years. **Who uses it:** HR teams and compensation analysts benchmarking equality and diversity metrics, ESG and procurement teams screening supplier diversity standards, recruitment platforms displaying employer transparency badges, journalists and researchers analyzing gender pay trends, and job-seekers evaluating prospective employers. **A miss is free.** If an employer has not filed a report or cannot be found on the service, it comes back as a row with `"found": false` and is never charged. ### How to use 1. **In the Apify Console.** Open the actor page and click **Start** — the `employers` field is already pre-filled with a working example. Results land in the run's dataset as soon as each item is found. 2. **Via the API.** Call it directly with a POST request — no Console needed once you have an API token: ```bash curl "https://api.apify.com/v2/acts/accountable_eel~uk-gender-pay-gap-lookup/run-sync-get-dataset-items?token=" \ -X POST \ -H "Content-Type: application/json" \ -d '{"employers":["Tesco","Barclays"]}' ``` 3. **On a schedule.** Save this actor as an Apify **Task** with the input you want, then add a **Schedule** (hourly, daily, weekly) so it runs on its own — no server of your own required. ### Input ```json { "employers": [ "Tesco", "Barclays" ] } ``` One UK employer name or Companies House number per line (e.g. "Tesco", "Barclays", "08514605"). Prefix matching finds all registered entities. Accepted formats: Tesco, Barclays, 08514605. You can supply company names (such as "Barclays" or "Tesco") or exact Companies House company numbers (such as "08514605"). Matching automatically ignores case, punctuation, legal suffixes (Ltd, Limited, PLC, LLP), and ampersands. You can optionally specify which reporting snapshot years to query (defaults to 2024). ### How matching works The actor looks up employers using precision-tiered matching in memory: - **company-number**: exact match against official Companies House registration numbers (e.g. 08514605, SC016876). - **exact**: exact match on canonical legal name, including legal form. - **legal-form-ignored**: matches company names where suffixes like Ltd, Limited, PLC, or LLP differ. - **starts-with**: prefix matching on employer name tokens (e.g. searching "Tesco" matches "Tesco Family Dining Limited"). Matches are sorted by relevance. There is no typo-guessing: an unmatched company returns a free `"found": false` row rather than risking incorrect pay gap figures. ### Output One row per employer report returned, for example: | query | found | status | queryEmployer | matchedCount | matchType | reports | employerName | employerId | companyNumber | year | diffMeanHourlyPercent | diffMedianHourlyPercent | diffMeanBonusPercent | diffMedianBonusPercent | maleBonusPercent | femaleBonusPercent | maleLowerQuartile | femaleLowerQuartile | maleLowerMiddleQuartile | femaleLowerMiddleQuartile | maleUpperMiddleQuartile | femaleUpperMiddleQuartile | maleTopQuartile | femaleTopQuartile | employerSize | sicCodes | address | postcode | currentName | submittedAfterTheDeadline | dueDate | dateSubmitted | companyLinkToGpgInfo | reportFileUrl | sourceUrl | scrapedAt | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Tesco | true | OK | | | | \ | | | | | \ | \ | \ | \ | \ | \ | \ | \ | \ | \ | \ | \ | \ | \ | | | | | | | | | | | | 1970-01-01T00:00:00.000Z | Missing values are represented as `null`, never `0` or empty strings (a 0% pay gap indicates parity, while null indicates no bonus or pay gap data reported). Personal details of company officers or responsible persons are excluded. Sample output record: ```json { "query": "Tesco", "found": true, "status": "OK", "employerName": "TESCO FAMILY DINING LIMITED", "employerId": "12134", "companyNumber": "08514605", "year": 2024, "diffMeanHourlyPercent": 2.5, "diffMedianHourlyPercent": 0.4, "diffMeanBonusPercent": 12.8, "diffMedianBonusPercent": 19.7, "maleBonusPercent": 14, "femaleBonusPercent": 10.6, "maleLowerQuartile": 22.2, "femaleLowerQuartile": 77.8, "maleLowerMiddleQuartile": 22.5, "femaleLowerMiddleQuartile": 77.5, "maleUpperMiddleQuartile": 23.1, "femaleUpperMiddleQuartile": 76.9, "maleTopQuartile": 25.9, "femaleTopQuartile": 74.1, "employerSize": "1000 to 4999", "sicCodes": ["56102"], "address": "Tesco House, Shire Park, Kestrel Way, Welwyn Garden City, AL7 1GA", "postcode": "AL7 1GA", "submittedAfterTheDeadline": false, "dueDate": "2025-04-05T00:00:00.000Z", "dateSubmitted": "2025-03-12T11:25:58.000Z", "sourceUrl": "https://gender-pay-gap.service.gov.uk/viewing/download" } ``` Sample not-found record (never charged): ```json { "query": "Unknown Company Ltd", "found": false, "status": "NOT_FOUND", "message": "No gender pay gap figures found for this employer name or company number.", "scrapedAt": "2026-11-01T08:00:00.000Z" } ``` ### Pricing Billed per employer record returned: **$3.00 per 1,000** at standard rate, down to **$1.50 per 1,000** on higher plans. A miss or unlisted employer costs nothing. - **Employer report returned**: $1.5 per 1,000 reports Plus a $0.00005 start fee per run. Each event above is billed independently, only when it actually returns data — misses (`found:false`) are never charged. ### What the data covers - Statutory submissions from UK employers with 250 or more employees under the Equality Act 2010 (Gender Pay Gap Information) Regulations 2017. - Hourly pay gap figures (mean and median differences between men and women). - Bonus pay gap figures and proportions of men and women receiving bonuses. - Pay quartiles: proportions of men and women in lower, lower-middle, upper-middle, and top hourly pay bands. - Historical data across annual snapshot reporting cycles (2017 through 2024). - Private individuals' names and contact emails are stripped from outputs. ### Example runs Paste any of these configurations into the Input tab and click Start. All runs are keyless and require no proxy configuration. **Two large UK employers for the 2024 reporting year:** ```json { "employers": ["Tesco", "Barclays"], "years": ["2024"] } ``` **Checking gender pay gap by Companies House registration number:** ```json { "employers": ["08514605", "01026167", "00048839"] } ``` **Multi-year pay gap comparison for an organisation:** ```json { "employers": ["Barclays Bank PLC"], "years": ["2024", "2023", "2022"] } ``` ### Use it from Clay, n8n, Make, or an AI agent This actor runs synchronously over plain HTTP — call it directly from a script, a workflow tool, or an AI agent, no Apify Console needed once you have an API token. ```bash curl "https://api.apify.com/v2/acts/accountable_eel~uk-gender-pay-gap-lookup/run-sync-get-dataset-items?token=" \ -X POST \ -H "Content-Type: application/json" \ -d '{"employers":["Tesco","Barclays"]}' ``` **n8n.** Add an HTTP Request node: Method `POST`, URL `https://api.apify.com/v2/acts/accountable_eel~uk-gender-pay-gap-lookup/run-sync-get-dataset-items?token=`, Body Content Type `JSON`, JSON Body `{"employers":["Tesco","Barclays"]}` (swap in an expression from an earlier node for a real value). **Clay.** Add an "HTTP API" column: Method `POST`, URL `https://api.apify.com/v2/acts/accountable_eel~uk-gender-pay-gap-lookup/run-sync-get-dataset-items?token=`, Body `{"employers":["{{employer search}}"]}`, mapping the row's employer search into the `employers` array. **MCP.** In Claude, Cursor, or any MCP client with the Apify MCP server, ask for "uk gender pay gap data" — the agent will find and run this actor. # Actor input Schema ## `employers` (type: `array`): One UK employer name or Companies House number per line (e.g. "Tesco", "Barclays", "08514605"). Prefix matching finds all registered entities. Accepted formats: Tesco, Barclays, 08514605. You're only charged for the ones we actually find — a miss costs nothing. ## `years` (type: `array`): UK gender pay gap reporting snapshot years to check (for example 2024, 2023, 2022). 2024 covers the 2024 to 2025 reporting cycle. Defaults to 2024. ## `maxItems` (type: `integer`): Maximum matching employer records to return per employer name (default 10, max 100). ## `testRun` (type: `boolean`): Turn this on to test your input on a small sample before running the full list. Turn it off to process everything. ## `onlyFound` (type: `boolean`): Only keep rows where something was actually found. Misses are always free, whether or not you show them here. ## `includeKeywords` (type: `array`): Optional. Only keep results that mention at least one of these words (e.g. a job title, a city, a product name). Leave empty to keep everything. ## `excludeKeywords` (type: `array`): Optional. Drop any result that mentions one of these words. Leave empty to skip nothing. ## `maxResults` (type: `integer`): Optional. Stop the run once this many results have been found — useful for a quick, cheap sample. Leave blank for no limit. ## `columns` (type: `array`): Choose which pieces of information to include in each result row. All are included by default. ## `expandRows` (type: `boolean`): When on, each report found gets its own row instead of being grouped under its employer search. You're still only charged once per employer search, no matter how many rows it produces. ## `maxConcurrency` (type: `integer`): Parallel requests. Keep conservative — this target has no browser fallback, so getting blocked costs more than slow-and-steady. ## `proxyConfiguration` (type: `object`): Apify Proxy config. This target is a free public API that needs no proxy — defaults to off, but you can turn one on if you prefer. ## Actor input object example ```json { "employers": [ "Tesco", "Barclays" ], "years": [ "2024" ], "maxItems": 10, "testRun": false, "onlyFound": false, "includeKeywords": [], "excludeKeywords": [], "columns": [ "queryEmployer", "matchedCount", "matchType", "reports", "employerName", "employerId", "companyNumber", "year", "diffMeanHourlyPercent", "diffMedianHourlyPercent", "diffMeanBonusPercent", "diffMedianBonusPercent", "maleBonusPercent", "femaleBonusPercent", "maleLowerQuartile", "femaleLowerQuartile", "maleLowerMiddleQuartile", "femaleLowerMiddleQuartile", "maleUpperMiddleQuartile", "femaleUpperMiddleQuartile", "maleTopQuartile", "femaleTopQuartile", "employerSize", "sicCodes", "address", "postcode", "currentName", "submittedAfterTheDeadline", "dueDate", "dateSubmitted", "companyLinkToGpgInfo", "reportFileUrl", "sourceUrl" ], "expandRows": true, "maxConcurrency": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "employers": [ "Tesco", "Barclays" ], "years": [ "2024" ], "includeKeywords": [], "excludeKeywords": [] }; // Run the Actor and wait for it to finish const run = await client.actor("accountable_eel/uk-gender-pay-gap-lookup").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "employers": [ "Tesco", "Barclays", ], "years": ["2024"], "includeKeywords": [], "excludeKeywords": [], } # Run the Actor and wait for it to finish run = client.actor("accountable_eel/uk-gender-pay-gap-lookup").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 '{ "employers": [ "Tesco", "Barclays" ], "years": [ "2024" ], "includeKeywords": [], "excludeKeywords": [] }' | apify call accountable_eel/uk-gender-pay-gap-lookup --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,accountable_eel/uk-gender-pay-gap-lookup" } } } ``` 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 ` 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/HEVJ5sfNnkp8fwPOW/builds/4fKZtkh8yEQpYAdFU/openapi.json