How can I access Companies House API?

Companies House API is available as an API. You can access it at https://developer-specs.company-information.service.gov.uk/streaming-api/guides/overview

What can I build with Companies House API?

Retrieve UK company registration, director, and financial filing data. Build corporate ownership graphs and beneficial owner networks. Monitor company status changes and insolvency events for credit risk models. Enrich B2B sales datasets with official UK company metadata

Companies House API

Dataset APIs

About This Dataset

Access real-time company registration data, director information, filing history, and financial statements from the UK Companies House streaming API. Used in data engineering for corporate intelligence pipelines, KYC/AML workflows, entity resolution, and building business analytics systems in Python.

What You Can Build

1Retrieve UK company registration, director, and financial filing data
2Build corporate ownership graphs and beneficial owner networks
3Monitor company status changes and insolvency events for credit risk models
4Enrich B2B sales datasets with official UK company metadata

How Python Data Engineers Use Companies House API

Engineers use `requests` with HTTP Basic Auth (API key as username, empty password) against the Companies House REST API. Endpoints cover company profiles, officers, filings, and charges. Results are stored in Neo4j for ownership graph analysis or PostgreSQL for CRM enrichment.

How to Use Companies House API in AI and RAG Applications

Companies House data enables AI due diligence tools that analyze corporate ownership structures and flag risk signals. RAG systems built on company filings help LLMs answer 'Who are the directors of XYZ Ltd and what other companies do they control?' with verified, official registry data.

Python Example

# pip install requests
import requests

company_number = "00445790"  # example: Tesco PLC
resp = requests.get(
    f"https://api.company-information.service.gov.uk/company/{company_number}",
    auth=("YOUR_API_KEY", "")
)
company = resp.json()
print(company["company_name"], "-", company["company_status"])
print("Registered:", company["date_of_creation"])

Access Dataset

Official dataset source

Dataset Info

Category:Dataset APIs

Type:API Access

Tags:

#rest-api #json #government #public-domain #free

Related Datasets

More datasets used by Python data engineers.

Bureau of Labor Statistics (BLS) API

Access labour market statistics from the US Bureau of Labor Statistics including employment, unemployment, wages, inflation (CPI), and productivity data. Widely used in economic data pipelines for trend analysis, time-series modelling, and government data ingestion workflows.

Bureau of Economic Analysis (BEA) API

Access US macroeconomic statistics from the Bureau of Economic Analysis, including GDP, personal income, consumer spending, and international trade data. Ideal for building economic indicator pipelines, loading national accounts data into warehouses, and time-series analysis in Python.

Systembolaget

The Swedish government monopoly liquor store API providing product catalogues, store locations, inventory, and pricing data. Useful for practising structured API ingestion, building retail analytics pipelines, and learning how to work with government-published commercial datasets in Python.