UK Employment Tribunal Decisions Scraper — Employer Case Data

Scrape published UK Employment Tribunal decisions from gov.uk. Returns claimant, respondent, case number, jurisdiction codes, judge, venue, outcome and award amount for England & Wales and Scotland decisions — parsed from the decision documents, not just the listing page, across the full published archive of 130,000+ cases.

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UK Employment Tribunal Decisions Scraper Features

• Parses claimant, respondent and case number out of every decision title — no manual splitting
• Extracts jurisdiction codes (Unfair Dismissal, Race Discrimination, Working Time, and 25+ others), tribunal country and decision date
• Reads the decision document itself for judge, venue, panel members, outcome and award amount — fields that don't exist on the listing page
• Returns the decision document's full extracted text alongside the structured fields
• Filter by keyword or a published-date window, or leave both blank for the newest decisions first
• Covers both England & Wales and Scotland tribunals in one dataset

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Who Uses UK Employment Tribunal Data?

• Employment law firms — track outcomes and award trends across specific jurisdiction codes or industries
• HR-tech and compliance vendors — build employer-risk scoring on top of named respondents, or at least the dataset that makes it possible
• Insurers and litigation funders — screen employers with a history of tribunal claims before underwriting or funding
• Journalists and researchers — corpus analysis of tribunal outcomes, award sizes, and case volume by jurisdiction
• Recruiters and due-diligence teams — check a target employer's litigation history before a placement or an acquisition

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How UK Employment Tribunal Decisions Scraper Works

1. The scraper queries gov.uk's published Employment Tribunal decisions index, newest first, optionally narrowed by keyword or a publish-date window.
2. For each decision it reads the case's gov.uk page for jurisdiction codes, tribunal country, decision date, and the attached decision document's link.
3. It fetches the decision document itself and extracts venue, judge, panel members, outcome and award amount — the fields that only ever appear in the document body, never the listing.
4. Results land in your Apify dataset as flat JSON records, one per decision.

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UK Employment Tribunal Decisions Scraper Input Fields

{
  "maxItems": 10,
  "query": "Tesco",
  "publishedFrom": "2026-09-01T00:00:00",
  "publishedTo": "2026-09-25T23:59:59"
}

Field	Type	Default	Description
maxItems	integer	10	Maximum number of decisions to return. Each one requires a document fetch, so keep this modest for a fast run.
query	string	(none)	Free-text keyword filtering the decisions index — an employer or claimant name works well. Leave blank for the unfiltered archive.
publishedFrom	string	(none)	ISO-8601 date/time. Only decisions published on gov.uk on or after this timestamp.
publishedTo	string	(none)	ISO-8601 date/time. Only decisions published on gov.uk on or before this timestamp.

To pull the whole archive, run the scraper repeatedly with a publishedFrom/publishedTo window each time, or a keyword narrowing the result set — one unbounded run isn't the intended shape here, since every decision costs a document fetch.

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UK Employment Tribunal Decisions Scraper Output Fields

{
  "decision_slug": "mr-e-lopez-v-tesco-stores-ltd-2309092-slash-2024",
  "case_number": "2309092/2024",
  "claimant": "Mr E Lopez",
  "respondent": "Tesco Stores Ltd",
  "decision_date": "2026-09-16",
  "published_date": "2026-09-25T12:38:35Z",
  "jurisdiction_codes": ["Breach of Contract", "Unfair Dismissal"],
  "tribunal_country": "England and Wales",
  "venue": "London South (by video)",
  "judge": "Buckley",
  "panel_members": [],
  "decision_type": "Judgment",
  "outcome": "upheld",
  "award_amount_gbp": 1841,
  "is_reserved": false,
  "document_urls": ["https://assets.publishing.service.gov.uk/media/6ab62cd7fceb6fb3a65011e0/Mr_E_Lopez_v_Tesco_Stores_Limited_2309092-2024_Lopez_Judgment_17-Sep-26.pdf"],
  "document_formats": ["pdf"],
  "full_text": "Case No:2309092/2024 ... JUDGMENT ... 1. The claim for unfair dismissal is dismissed...",
  "source_url": "https://www.gov.uk/employment-tribunal-decisions/mr-e-lopez-v-tesco-stores-ltd-2309092-slash-2024",
  "scraped_at": "2026-09-26T13:24:23.711Z"
}

Field	Type	Description
decision_slug	string	gov.uk URL slug for this decision — a stable key
case_number	string	Tribunal case number(s), e.g. 2309092/2024
claimant	string	Claimant name as published — anonymised forms ("Mr A") are common and expected
respondent	string	Respondent (employer) name
decision_date	string	ISO-8601 date the tribunal decided the case
published_date	string	ISO-8601 timestamp the decision was published on gov.uk
jurisdiction_codes	array	Claim categories, e.g. Unfair Dismissal, Race Discrimination, Working Time
tribunal_country	string	England and Wales or Scotland
venue	string	Tribunal office / hearing location, read from the decision document (blank on paper-only decisions with no hearing)
judge	string	Presiding Employment Judge, read from the decision document
panel_members	array	Non-legal panel members, when the case was heard by a full panel rather than a judge sitting alone
decision_type	string	Document type(s) attached — Judgment, Reasons, Judgment with Reasons, Costs, Remedy, Strike Out, etc.
outcome	string	Best-effort classification of the judgment: upheld, dismissed, struck out, withdrawn, or settled
award_amount_gbp	number	Compensation awarded in GBP, where the document states one — most decisions carry no monetary award
is_reserved	boolean	True when the document indicates the judgment was reserved (written reasons issued after the hearing)
document_urls	array	URLs of the decision document(s) attached to this case — often more than one (judgment, reasons, remedy)
document_formats	array	File formats of the attached documents: pdf, doc, docx, or rtf
full_text	string	Extracted text of the primary decision document
source_url	string	Canonical gov.uk URL for this decision
scraped_at	string	ISO-8601 timestamp when the record was scraped

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FAQ

How do I scrape UK Employment Tribunal decisions?

UK Employment Tribunal Decisions Scraper needs no account, login, or API key. Set maxItems and, optionally, a keyword or a published-date window, then run — you get back structured JSON, not a page of links to click through yourself.

How much does UK Employment Tribunal Decisions Scraper cost to run?

Pricing is pay-per-event: $0.10 per actor start, plus $0.01 per decision returned. Scraping 100 decisions costs roughly $1.10. Each decision requires reading its underlying document for the fields the listing page doesn't carry, which is where the per-record cost goes.

What data can I get from gov.uk Employment Tribunal decisions?

Claimant, respondent, case number, jurisdiction codes, tribunal country, decision date, venue, judge, outcome, award amount, and the full text of the decision document — for every publicly published Employment Tribunal decision, England & Wales and Scotland alike.

Can I filter by employer name or claim category?

Yes — the query field does a keyword search against the decisions index, and an employer or claimant name works as well as any other term. There's no separate jurisdiction filter; the unfiltered archive already returns everything, newest first.

Do award amount and outcome show up for every decision?

No. Both are read out of the decision document body, and plenty of decisions — strike-outs, withdrawals, case-management orders — carry no monetary award and no hearing to report a venue or judge for. Those fields come back empty rather than guessed.

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Need More Features?

Need custom fields, filters, or a different target site? File an issue or get in touch.

Why Use UK Employment Tribunal Decisions Scraper?

• Employer-named, not just linked — claimant and respondent are parsed out of every record, turning a list of case links into employer-searchable data.
• Reads the document, not just the listing — judge, venue, outcome and award amount only ever live in the decision document body, and this is the layer that goes and gets them, PDF text extraction included.
• Complete archive, one query — the unfiltered index already returns the full 130,000+ decision corpus, newest first, so there's no jurisdiction-by-jurisdiction crawl to assemble yourself.