# UK Companies House Enrichment & B2B Intel API (`based_data/uk-companies-query-actor`) Actor Two-tier UK company search & B2B enrichment. Tier 1: Fuzzy name search ($0.005/event). Tier 2: Deep profiles including financials, technographics, DNS/email security auditing, PECR compliance, and live hiring activity ($0.15/event). Pay-Per-Event (PPE) model. - **URL**: https://apify.com/based\_data/uk-companies-query-actor.md - **Developed by:** [Adam Beaumont](https://apify.com/based_data) (community) - **Categories:** Agents, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 company searches 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ๐Ÿข UK Companies House Enrichment & B2B Intel API Exposes an enterprise-grade, two-tiered business intelligence query interface for UK Companies House records under the **Pay-Per-Event (PPE)** pricing model. Ideal for sales intelligence, automated lead enrichment, cold outreach compliance auditing, cybersecurity risk assessment, and HR tech integrations. --- ### โšก What This Actor Does This actor bypasses basic registry lookups by returning a fully enriched, commercial-ready profile of active, medium-to-large UK corporate entities. It integrates multi-source intelligenceโ€”combining official government registry details, corporate financial statements, email/DNS security auditing, active web technographics, and live applicant tracking systems (ATS) hiring data. > [!IMPORTANT] > **Enrichment Scope Constraint** > Comprehensive enrichment profiles (Tier 2) are **strictly generated and stored only for active, medium-to-large corporate targets** (e.g., companies that file detailed financial statements, have active digital footprints, or run active recruitment). > > Queries for micro-entities, small businesses, sole traders, or dormant/inactive entities **will return a 404-style error payload** (and will NOT charge you the premium Tier 2 billing event rate). The actor operates in two cost-optimized tiers: #### ๐Ÿ” Tier 1: Fuzzy Name Search (`company-search`) * **Purpose**: Resolve partial or fuzzy company names to absolute identifiers. * **Performance**: Sub-100ms response times powered by a pre-indexed Key-Value store (with native Google BigQuery fallback). * **Data Returned**: Company name, registration number, registration status, and postcode. #### ๐Ÿ’Ž Tier 2: Detailed Enrichment (`company-detail`) * **Purpose**: Retrieve the full B2B intelligence profile using an 8-digit company number. * **Target Scope**: **Limited to active, medium-to-large corporate targets.** Queries for companies outside this scope return a 404-style error message to avoid charging premium billing events. * **Data Returned**: Comprehensive corporate profiling containing: * **Registry & Financials**: Net assets, annual turnover, employee counts, and balance sheet dates. * **Web Technographics**: Instantly detects active frameworks and trackers on their domain (WordPress, Shopify, Next.js, Webflow, Google Tag Manager, GA4, HubSpot, Hotjar, Meta Pixel, Intercom, Zendesk). * **Email & DNS Audit**: Identifies active ESP providers (Google Workspace, Office 365, etc.) and performs a real-time SPF, DMARC, and DKIM selector safety audit to generate an aggregate **Cyber Hygiene Score (0-100)** and risk tier. * **ATS & Recruiting Scans**: Queries live recruitment endpoints (Greenhouse, Workday, Lever, Workable, etc.) to fetch the exact count of active job listings and details of open roles. * **PECR Cold Email Compliance**: Calculates corporate eligibility and provides legal justification for cold B2B outreach under UK PECR laws. * **ICO Triangulation**: Verifies registration status on the official UK Information Commissioner's Office data protection register. --- ### โš™๏ธ Input Schema The actor accepts the following parameters. You must supply either `companyName` (for Tier 1 Search) or `companyNumber` (for Tier 2 Detail lookup). | Field | Type | Title | Description | | :--- | :--- | :--- | :--- | | `companyName` | `string` | Company Name (Fuzzy Search) | Fuzzy or partial company name (e.g., `"Tesco"`). Activates **Tier 1 Search Mode**. | | `companyNumber` | `string` | Company Number (Premium Lookup) | Exact 8-digit UK company number (e.g., `"01234567"`). Activates **Tier 2 Detail Mode**. *Note: Enriched profiles only exist for active, larger corporate targets (medium/large enterprises).* | | `maxSearchResults` | `integer` | Max Search Results | Maximum results to return in Tier 1 Search (Default: `10`, Max: `100`). | #### Input JSON Examples ##### 1. Fuzzy Name Search (Tier 1) ```json { "companyName": "Tesco", "maxSearchResults": 5 } ```` ##### 2. Detailed B2B Profile Lookup (Tier 2) ```json { "companyNumber": "00471817" } ``` *** ### ๐Ÿ“Š Output Schema (Tier 2 Example) When querying via `companyNumber` in Tier 2, the actor yields a rich, structured intelligence profile formatted as a JSON object: ```json { "company_number": "00471817", "company_name": "TESCO PLC", "last_enriched_at": "2026-07-05T12:30:45Z", "enrichment_status": "completed", "resolved_domain": "tescoplc.com", "email_provider": "Microsoft Office 365", "dns_security": { "cyber_hygiene_score": 85, "cyber_security_risk_tier": "Low Risk", "spf": { "valid": true, "record": "v=spf1 include:spf.protection.outlook.com -all", "warnings": [] }, "dmarc": { "valid": true, "record": "v=DMARC1; p=reject; pct=100; rua=mailto:dmarc-rua@tescoplc.com", "warnings": [] }, "dkim": { "has_active_selector": true, "selectors_checked": { "selector1": "active" } }, "mx_hosts": [ "tescoplc-com.mail.protection.outlook.com" ], "issues": [] }, "compliance": { "is_corporate_subscriber": true, "legal_entity_type": "plc" }, "technographics": { "wordpress": false, "shopify": false, "gtm": true, "hubspot": false, "ga4": true, "meta_pixel": true, "hotjar": false, "intercom": false, "zendesk": false, "nextjs": true, "webflow": false }, "recruiting": { "is_hiring": true, "ats_source": "Workday", "roles_count": 18, "roles_extracted": [ { "title": "Lead Software Engineer - Python", "location": "Welwyn Garden City", "url": "https://tesco.wd3.myworkdayjobs.com/Careers/job/Lead-Software-Engineer" } ] }, "ico_triangulation": { "registered": true, "registration_number": "Z6294371", "tier": "Tier 3", "expiry_date": "2027-01-20" }, "financial_metrics": { "net_assets": 11842000000.0, "turnover": 68193000000.0, "employee_count": 330000, "balance_sheet_date": "2026-02-28" }, "commercial_insights": { "company_size_segment": "Enterprise", "outreach_eligibility": { "can_cold_email": true, "compliance_reason": "Legitimate interest allowed for UK corporate entities (LTD, PLC, LLP) under PECR rules" }, "cyber_security_risk_tier": "Low Risk", "growth_hiring_indicator": "High Growth" } } ``` *** ### ๐Ÿ’ก Key Use Cases 1. **Lead Enrichment & Scoring**: Automatically feed Companies House numbers from forms into the actor to instantly qualify prospects by employee size, technology stack, and hiring status. 2. **Cold Outreach Compliance Filters**: Filter out sole traders and partnerships automatically to ensure your email campaigns strictly adhere to UK PECR regulations. 3. **Cyber Hygiene Analysis**: Audit the DNS records (SPF, DMARC, DKIM) of target lists to score domain safety and identify prospects in need of cybersecurity solutions. 4. **Technographic Profiling**: Target companies using specific technologies (e.g., Next.js, HubSpot, Shopify) for hyper-targeted product positioning. 5. **Recruiting & Growth Signals**: Track active roles on target company boards to identify hiring expansion and allocate resources or outreach efforts effectively. # Actor input Schema ## `companyName` (type: `string`): A fuzzy, partial, or full company name (e.g., 'Tesco'). Activates Tier 1 Search Mode for rapid lookup (sub-100ms response). ## `companyNumber` (type: `string`): An 8-digit UK company registration number (e.g., '01234567'). Activates Tier 2 Detailed Enrichment. Note: Enriched profiles are strictly generated for active, larger corporate targets (e.g., medium/large enterprises with filed accounts, digital footprints, or active recruitment). Queries for micro-entities, dormant, or inactive businesses will return a 404-style error payload (no event charges apply). ## `maxSearchResults` (type: `integer`): The maximum number of search records to return in Tier 1 Search Mode (capped at 100). ## Actor input object example ```json { "maxSearchResults": 10 } ``` # Actor output Schema ## `defaultDatasetUrl` (type: `string`): The dataset containing either the list of search results (Tier 1) or the detailed B2B corporate profile (Tier 2). # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("based_data/uk-companies-query-actor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("based_data/uk-companies-query-actor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call based_data/uk-companies-query-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=based_data/uk-companies-query-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UK Companies House Enrichment & B2B Intel API", "description": "Two-tier UK company search & B2B enrichment. Tier 1: Fuzzy name search ($0.005/event). Tier 2: Deep profiles including financials, technographics, DNS/email security auditing, PECR compliance, and live hiring activity ($0.15/event). Pay-Per-Event (PPE) model.", "version": "1.0", "x-build-id": "MpPbLniCkd7VUxsX9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/based_data~uk-companies-query-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-based_data-uk-companies-query-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/based_data~uk-companies-query-actor/runs": { "post": { "operationId": "runs-sync-based_data-uk-companies-query-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/based_data~uk-companies-query-actor/run-sync": { "post": { "operationId": "run-sync-based_data-uk-companies-query-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "companyName": { "title": "Company Name (Fuzzy Search)", "type": "string", "description": "A fuzzy, partial, or full company name (e.g., 'Tesco'). Activates Tier 1 Search Mode for rapid lookup (sub-100ms response)." }, "companyNumber": { "title": "Company Number (Premium Lookup)", "type": "string", "description": "An 8-digit UK company registration number (e.g., '01234567'). Activates Tier 2 Detailed Enrichment. Note: Enriched profiles are strictly generated for active, larger corporate targets (e.g., medium/large enterprises with filed accounts, digital footprints, or active recruitment). Queries for micro-entities, dormant, or inactive businesses will return a 404-style error payload (no event charges apply)." }, "maxSearchResults": { "title": "Max Search Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "The maximum number of search records to return in Tier 1 Search Mode (capped at 100).", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```