UK Gender Pay Gap Reports API: Employer Filings

What does UK Gender Pay Gap Reports API do?

This Actor returns UK gender pay gap data straight from the official gender-pay-gap.service.gov.uk register, as clean per-employer JSON: mean and median hourly pay gap %, bonus gap %, the share of men and women in each bonus and pay quartile, company number, SIC code, employer size, and when the report was filed. Every UK employer with 250 or more staff must publish this data each year, so these are gender pay gap reports for every qualifying employer, not a sample. ESG and compliance teams, journalists, recruiters and ratings agencies use it to pull gender pay gap data for a specific company, industry or reporting year without touching the government's own CSV download by hand. An optional alert mode re-checks the current reporting year and returns only filings submitted or updated since your last run, which matters because employers keep filing (and some file late) right up to the following April's deadline.

What you get

• Employer identity: name (as filed and current name, which can differ after a rename), address, postcode, Companies House number, SIC code(s), employer size band.
• Pay gap figures: mean/median hourly pay gap %, mean/median bonus gap %, % of men and women receiving a bonus, and the male/female split in each of the four pay quartiles.
• Filing details: whether it was filed after the deadline, the due date, the submission date, and a link to the employer's own published report when they provided one.
• Filter by employer name, SIC code or reporting year (2017 to the current year in progress).
• Optional only new or updated since last run mode for a scheduled alert on the current year.

How much does it cost?

You pay per filing returned, with no monthly fee: $2.00 per 1,000 filings on Apify's free plan, and 10-40% less on paid Apify plans. Each run also costs $0.001 to start. Apify's free plan includes $5 of credit every month, enough for about 2,500 filings. Prices as of October 2026; the price shown on this page is the one that applies.

Use	Filings	Cost on the free plan
Look up one company by name	1-5	about $0.01
Scan one SIC code for the current year	about 25	about $0.05
Daily alert through the April filing deadline, about 20 new/updated filings a day	about 600 a month	about $1.20 a month

Set Maximum cost per run to cap any run; the Actor stops cleanly at the cap and keeps everything it saved.

Ready-made inputs

Four real use cases as JSON inputs, each tested in the local run above.

{ "reportingYear": 2026 }

{ "reportingYear": 2026, "employerName": "university" }

{ "reportingYear": 2026, "sicCode": "85200" }

{ "reportingYear": 2026, "onlyNewSinceLastRun": true }

Alerts

Set onlyNewSinceLastRun to true and run this Actor on a schedule (daily or weekly works well) to get only filings submitted or resubmitted since the last run, scoped to the reportingYear you give it. The watermark is kept per reporting year, so you can monitor the current year without missing or duplicating anything if a run is ever cut short by your spending cap.

Input

Field	Type	Default	Description
reportingYear	integer	required (prefill 2026)	The pay gap snapshot year to fetch. 2017 is the earliest year published.
employerName	string	""	Keep only employers whose name (as filed or current) contains this text. Case-insensitive.
sicCode	string	""	Keep only employers tagged with this exact UK SIC code.
onlyNewSinceLastRun	boolean	false	Keep only filings submitted or updated since this Actor's last run for the same reportingYear.
maxItems	integer	1000	Stop after this many filings.

Output

One dataset item per employer filing. A real item from the local test run above:

{
  "employerName": "\"RED BAND\" CHEMICAL COMPANY, LIMITED",
  "employerId": 16879,
  "currentEmployerName": "\"RED BAND\" CHEMICAL COMPANY, LIMITED",
  "address": "19 Smith's Place, Leith Walk, Edinburgh, EH6 8NU",
  "postcode": "EH6 8NU",
  "companyNumber": "SC016876",
  "sicCodes": ["47730"],
  "reportingYear": 2026,
  "employerSize": "250 to 499",
  "meanHourlyPayGapPercent": -2.45,
  "medianHourlyPayGapPercent": -4.08,
  "meanBonusGapPercent": -60.59,
  "medianBonusGapPercent": 21.21,
  "maleBonusPercent": 29.5,
  "femaleBonusPercent": 70.5,
  "lowerQuartileMalePercent": 54.4,
  "lowerQuartileFemalePercent": 45.6,
  "lowerMiddleQuartileMalePercent": 32.5,
  "lowerMiddleQuartileFemalePercent": 67.5,
  "upperMiddleQuartileMalePercent": 14.9,
  "upperMiddleQuartileFemalePercent": 85.1,
  "topQuartileMalePercent": 27.2,
  "topQuartileFemalePercent": 72.8,
  "companyLinkToReport": null,
  "submittedAfterDeadline": false,
  "dueDate": "2027-04-05",
  "dateSubmitted": "2026-05-15T18:34:43"
}

Notes: a positive pay/bonus gap % means men's pay or bonuses are higher on average; negative means women's are higher. companyNumber and companyLinkToReport are null when the employer didn't provide one. sicCodes is an array because an employer can carry more than one industry code. dateSubmitted and dueDate are the times recorded by the service, in UK local time (the source does not state a timezone offset). We deliberately drop the source's ResponsiblePerson column: it names the individual who signed off the report (sometimes with their work email), and this tool only returns employer-level data, never data about named individuals.

Use it from AI agents

Add the Actor to Claude, ChatGPT, Cursor or any MCP client through the Apify MCP server (https://mcp.apify.com?tools=tabulary/uk-gender-pay-gap-reports). Ask in plain language, for example: "What's the gender pay gap at Aberystwyth University for the 2024 reporting year?" The agent fills in the input and gets structured filings back.

Use it from code

curl -X POST "https://api.apify.com/v2/acts/tabulary~uk-gender-pay-gap-reports/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"reportingYear": 2026, "sicCode": "85200"}'

The same works with the Apify Python and JavaScript clients. See the API tab for details.

Data source and limits

• Source: gender-pay-gap.service.gov.uk, the UK government's statutory gender pay gap register. Terms and GOV.UK publications tied to the service state the data is Crown copyright under the Open Government Licence v3.0, which permits commercial reuse with attribution: "Contains public sector information licensed under the Open Government Licence v3.0."
• The source publishes one CSV per reporting year covering every qualifying employer (250+ staff); there is no per-employer API, so this Actor downloads the year's file and filters it for you.
• The current reporting year's file grows through the year as employers file (due date 5 April the following year) and some file late — use onlyNewSinceLastRun to track that.
• Only employer-level fields are returned. The source's ResponsiblePerson column (a named individual, often with a work email) is always dropped.
• Not affiliated with or endorsed by the UK government or the Government Equalities Office.

Other Tabulary tools

Clean data from official and public sources, priced per result:

• UK Tenders API: Contracts Finder & Find a Tender
• EU Tenders API: TED Public Procurement Notices
• SAM.gov Federal Contract Opportunities
• Airport METAR & TAF Weather
• Remote Jobs API: RemoteOK & Jobicy Postings
• Company Job Postings: Greenhouse, Lever, Ashby & Workable

FAQ

Is this data official? Yes. It comes directly from the UK government's statutory gender pay gap register, the same data employers are legally required to submit.

How fresh is it? As fresh as the source: employers file throughout the year up to 5 April the following year, and the source updates in near-real time as filings land. Run with onlyNewSinceLastRun on a schedule to catch new and late filings as they appear.

Does this include small employers? No. Only employers with 250 or more staff must report, so only they appear in this data.

Something broke? Open an issue on the Issues tab. The Actor is tested daily.

Changelog

• 2026-10-23: first version: reads the official per-year CSV, filters by employer name, SIC code or reporting year, with an optional new-since-last-run alert mode.

About Tabulary

This tool is part of Tabulary: clean tables from official public sources. Every Tabulary tool uses the source's official API or open data where one exists, collects no personal data, and is tested on Apify every day. Questions or ideas? Open an issue on the Issues tab.