We extract UK company profiles, director histories, credit metrics, and corporate structures from Endole. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Company Profile objects from endole.co.uk. All fields typed and schema-versioned.
"company_name": "TESCO PLC", "registration_number": "00445790", "incorporation_date": "1947-11-27", "status": "Active", "company_type": "Public Limited Company", "sic_codes": "['47110']", "employee_count": 330000
| # | company_name | registration_number | incorporation_date | status | company_type | registered_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financials objects from endole.co.uk. All fields typed and schema-versioned.
"registration_number": "00445790", "turnover": 61477000000, "pre_tax_profit": 2033000000, "net_assets": 12845000000, "financial_year_end": "2023-02-25", "endole_credit_score": 85, "credit_limit": 50000000
| # | registration_number | turnover | pre_tax_profit | net_assets | total_liabilities | cash_in_bank |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Directors objects from endole.co.uk. All fields typed and schema-versioned.
"registration_number": "00445790", "director_name": "MURPHY, Kenneth", "role": "Director", "nationality": "Irish", "appointment_date": "2020-10-01", "current_appointments_count": 3, "past_appointments_count": 1
| # | registration_number | director_name | role | age | nationality | occupation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shareholders objects from endole.co.uk. All fields typed and schema-versioned.
"registration_number": "00445790", "shareholder_name": "BlackRock, Inc.", "share_class": "Ordinary", "shares_held": 485000000, "percentage_ownership": 6.8, "ultimate_beneficial_owner": false, "entity_type": "Corporate"
| # | registration_number | shareholder_name | share_class | shares_held | voting_rights | percentage_ownership |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for CCJs & Mortgages objects from endole.co.uk. All fields typed and schema-versioned.
"registration_number": "00445790", "record_type": "Mortgage", "mortgage_charge_code": "0044 5790 0124", "creation_date": "2015-08-14", "persons_entitled": "NatWest Markets Plc", "outstanding_status": "Outstanding", "ccj_amount": "None"
| # | registration_number | record_type | ccj_date | ccj_amount | ccj_status | mortgage_charge_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Endole scraper handles strict rate limits and Cloudflare edge protection to extract structured financial data, director histories, and corporate hierarchies across millions of UK entities.
Extract registration details, registered office addresses, trading status, and primary/secondary SIC codes.
Track current and resigned appointments, age, nationality, and cross-directorships across the UK corporate network.
Capture turnover, net assets, liabilities, cash at bank, and Endole's proprietary credit scores from filed accounts.
Map out share classes, capital allocation, and identify Ultimate Beneficial Owners (UBOs) where disclosed.
Extract County Court Judgments against entities, including judgment amounts, dates, and satisfaction status.
Monitor outstanding, partially satisfied, and fully satisfied charges registered against the company.
Scrape listed telephone numbers, website URLs, and generic email addresses where available on the profile.
Iterate through Endole's advanced search filters by region, industry, or turnover bracket to build targeted lists.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences to catch new filings.
Brief in. Clean data out.
Provide company numbers, SIC codes, geographic regions, or turnover brackets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for endole.co.uk.
Schema validation, null-rate checks, and sample entity verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Endole deploys aggressive edge protection and rate limiting to deter scrapers. Here is how we maintain steady extraction.
Endole uses strict rate limiting and Cloudflare protection. Our crawlers use UK residential ISP proxies with realistic browser fingerprints, randomised request timing, and TLS spoofing to bypass edge security.
Endole search results cap at specific page depths. We partition broad queries into granular sub-queries (by incorporation date or specific postcode sectors) to extract complete datasets without hitting hard limits.
DOM structures for financial tables vary based on filing type (micro-entity vs full accounts). We use fallback chains and tabular data parsing algorithms to ensure numeric values align with the correct financial year.
For continuous monitoring, we maintain a hash index of last-seen values per entity. Subsequent runs only push diffs when new accounts are filed or director statuses change — reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, block rate increases, and coverage drops — responding before data delivery is impacted.
Sales teams extract targeted company lists based on precise locations, SIC codes, and turnover brackets to fuel outreach.
Financial institutions ingest credit scores, CCJs, and net asset histories to assess lending risk and set credit limits.
Compliance teams map out UBOs, shareholder structures, and director networks to streamline due diligence processes.
Analysts track industry growth, geographic clusters, and insolvency rates across specific sectors using aggregate corporate data.
Firms monitor competitor financial filings, director changes, and corporate group expansions to inform strategic planning.
Data teams enrich internal CRM records with verified registered addresses, current trading statuses, and standardised SIC codes.
"Endole aggregates the fragmented UK corporate landscape into a structured format — but extracting it at scale requires dedicated scraping infrastructure."
Most teams underestimate the investment required: reliable Endole scraping requires UK residential proxies, Cloudflare bypass mechanisms, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our endole.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript execution and Cloudflare challenge bypass. Combined via scrapy-playwright middleware.
We maintain dedicated pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions where required to maintain search context.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About endole.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available corporate information is generally permissible under UK law. DataFlirt targets only public, non-authenticated company, director, and financial data. We do not circumvent authentication walls to access premium reports. Clients should review Endole's ToS and consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate Cloudflare protections and rate limits.
Endole syncs regularly with Companies House and other registries. Our continuous pipelines extract these updates at your requested cadence — daily, weekly, or monthly — ensuring your warehouse reflects the latest filings.
Yes. Endole limits the number of results visible in a single search. We bypass this by programmatically partitioning broad queries into smaller segments (e.g., iterating through specific incorporation date ranges) to extract the complete dataset.
Our smallest packages start at a defined entity list (typically 5,000-50,000 companies) or specific search criteria. For full database extractions, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 companies as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted list of 10,000 companies or a continuous sync of UK corporate filings — we scope, build, and operate the pipeline. Tell us what you need.
