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UK Companies House Data Scraper | Company Accounts API

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Scrape audit-grade UK Companies House data, including company accounts, officers, and filing histories. Source-provenanced and ready for AI workflows. Get company profiles, financial statements, officers, and filing histories. Perfect for KYC, due diligence. Download as clean JSON or CSV.

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from $5.00 / 1,000 results

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Dmodify Data Management

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DModify UK Company Accounts

Access the latest validated DModify UK Company Accounts production dataset through Apify.

This is a data-access Actor, not a standalone scraper. DModify's production pipeline remains the source of truth for collection, normalization, validation, and publication.

Input

limit — optional positive integer. Leave empty to return the complete latest validated dataset.

Output

Records are written to the run's default Apify Dataset.

The dataset contains structured UK company accounts information including reporting periods, financial metrics in GBP, average employees, metric provenance, source metadata, record versioning, and data-quality fields.

Financial metrics can be null when a value is not available in the source record. company_number can also be null when it could not be parsed; use data_quality_status and data_quality_messages when evaluating individual records.

Source

Primary public source: Companies House.

DModify adds structured output and production data-quality processing for downstream research, analysis, automation, and AI workflows.

Data fields

The production records expose 24 top-level fields:

schema_version, dataset, record_version_id, change_type, company_number, reporting_period_start, reporting_period_end, currency, revenue_gbp, profit_loss_gbp, cash_gbp, current_assets_gbp, current_liabilities_gbp, total_assets_gbp, total_liabilities_gbp, equity_gbp, average_employees, metric_provenance, data_quality_status, data_quality_messages, source_filename, source_product, source_system, and processed_at.

About DModify

DModify provides structured, validated public-sector and regulatory datasets with source provenance and data-quality metadata.

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