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You can access useful business data without signing an enterprise agreement—but there is no single universal replacement for an enterprise database. Start by defining the data and geography you need, then combine official APIs, public registries and (when necessary) a self-serve commercial plan. Public-company filings, economic context, legal-entity records and sales-prospecting data are different products with different access and reuse rules.
Define “business data” before choosing a source
Write down the decision your data must support and the exact fields required. “Business data” can mean:
- Public-company disclosure: filings, financial statements and extracted facts.
- Market context: population, income, employment and other economic or geographic measures.
- Legal-entity identity: registered names, jurisdictions, addresses, officers and registry identifiers.
- Prospecting and enrichment: verified contacts, firmographics, intent signals and sales-ready records.
These categories overlap only partly. A free government API may answer a market-sizing question but will not normally provide a private-company contact list. Before collecting anything, specify the target country or jurisdiction, whether you need public companies or all registered entities, the freshness required, and whether you may redistribute the results.
Compare access routes on the dimensions that matter
| Question | What to check |
|---|---|
| Coverage | Public companies, registered entities, a defined industry segment, or a particular country and registry. |
| Fields and provenance | Filing facts, demographic measures, identifiers, addresses, officers or contacts; whether records link back to primary sources. |
| Freshness | Filing cadence, dataset release vintage, registry update schedule and delivery delay. |
| Access and scale | Browser download versus API, registration and keys, request limits, pagination and bulk-export availability. |
| Reuse rights | Attribution, share-alike obligations, privacy restrictions and permission for closed commercial redistribution. |
| Total effort | Subscription cost plus entity matching, normalization, cleaning, monitoring and gap-filling. |
Route 1: public-company filings through SEC EDGAR
The U.S. Securities and Exchange Commission says data.sec.gov provides public EDGAR data through APIs. It is a strong route for filings and extracted filing data from U.S.-reporting public companies. It is not a private-company directory or a general-purpose prospecting database.
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How to use it responsibly
- Identify the company’s legal name and SEC identifier (such as a CIK) from the filing record.
- Read the SEC API documentation for the endpoint and response fields you intend to use.
- Send a descriptive User-Agent and keep request volume within the SEC’s fair-access guidance.
- Cache responses, back off after rate-limit responses and retain the filing accession number and filing date with every extracted value.
Automated access must follow SEC policy and its privacy and security requirements. Filing data also requires interpretation: amended filings, restatements, fiscal-year differences and XBRL taxonomy changes can make apparently identical metrics non-comparable.
Route 2: U.S. market context with Census APIs
The U.S. Census Bureau describes its APIs as tools for applications that explore the changing U.S. population and economy. Its microdata guidance says, “You can register for an API key, free of charge.” The guidance was last revised May 21, 2026; the free key does not mean every dataset has identical limits or licensing conditions.
Choose the dataset before writing a query
- Variables: confirm names, units, universe and suppression rules.
- Geography: decide whether you need national, state, county, tract or another level.
- Year or vintage: record the release year and avoid mixing vintages without documenting the change.
- Query requirements: inspect required parameters, pagination and any dataset-specific key or rate policy.
Census data is useful for market sizing and segmentation, not for turnkey lists of companies or verified business contacts. Preserve the dataset name, table or variable identifiers and release date alongside your analysis so another person can reproduce it.
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Route 3: discover federal APIs through api.data.gov
api.data.gov is a free API-management platform for federal agencies and an entry point for sharing government data with the public. Treat it as a discovery and access layer, not as one consolidated business database. Once you find a dataset, read that agency’s documentation for fields, update cadence, rate limits, authentication and permitted use.
A practical discovery workflow is:
- Search for the business question, not merely the word “company.”
- Open the owning agency’s dataset documentation and sample response.
- Check geographic scope, vintage, identifiers and missing-value conventions.
- Verify whether the API is intended for automated production use or only exploratory access.
Route 4: cross-jurisdiction legal-entity data with OpenCorporates
OpenCorporates’ API returns structured JSON or XML and documents filtering by jurisdiction or country. Its records can include information derived from public records and user contributions. “An API key is required in order to use the OpenCorporates API,” according to its API reference (version 0.4.8).
Limits, licensing and displayed plans
The API reference describes default allowances of up to 200 requests per month and 50 per day, while noting that limits depend on account type and plan. The provider’s displayed pricing page, checked September 29, 2026, lists these self-serve tiers:
| Tier | Displayed price | Displayed allowance |
|---|---|---|
| Essentials | £225/month or £2,250/year | Up to 500 API calls/month and 200/day |
| Starter | £660/month or £6,600/year | Up to 2,500 API calls/month and 500/day |
| Basic | £1,200/month or £12,000/year | Up to 5,000 API calls/month and 1,000/day |
These are provider-displayed figures at that date, not a guarantee of current availability or affordability. The page also describes a separate enterprise option for bulk delivery or bespoke API access and says public-benefit projects such as journalism, NGOs, universities and anti-crime-and-corruption research may qualify for free at-scale access; discuss eligibility with the provider.
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OpenCorporates says free API accounts are for open-data projects under share-alike attribution conditions. Paid accounts remove those restrictions for its assembled-database rights. Confirm the current terms before putting records into a closed commercial product.
A repeatable no-enterprise evaluation process
- Define the output. List fields, acceptable missingness, freshness and the decision the data will support.
- Set geography and population. Record countries, jurisdictions and whether the population is public companies, registered entities or a market segment.
- Start with the authoritative route. Test SEC EDGAR for public-company disclosure, Census or another agency for aggregate context, and a registry-oriented provider for entity discovery.
- Inspect real records. Use a representative sample to find duplicate entities, name changes, missing fields, suppressed values and geographic gaps.
- Measure operating cost. Estimate API calls, retries, storage, entity resolution, normalization, monitoring and manual review—not just the subscription price.
- Confirm rights and limits. Save the license, attribution requirements, privacy basis, rate policy and plan allowance with your project documentation.
- Scale gradually. Run a small production-like batch, then add caching, pagination, retries and alerting before collecting the full population.
Implementation patterns that prevent expensive mistakes
Keep provenance with every value
Store the source, endpoint or dataset, retrieval timestamp, release vintage, jurisdiction and original identifier. Never overwrite a prior filing or registry value without retaining its effective date and reason for change.
Normalize entities, do not trust names alone
Legal names change, abbreviations vary and one company can appear in several jurisdictions. Match on stable registry or SEC identifiers where available; treat name-and-address matching as a reviewable inference.
Design for limits and failure
Use exponential backoff for transient errors, honor Retry-After when supplied, cache immutable responses and make jobs restartable. Separate “no record,” “record suppressed,” “request failed” and “not yet processed” so downstream users do not mistake an outage for a business fact.
Budget for licensing review
A public endpoint can be free to query while still restricting redistribution, attribution or commercial reuse. Have counsel or a data-governance owner approve the intended use before publishing a derived database or selling access to it.
When a paid self-serve plan is the rational choice
Choose a commercial plan when the required jurisdictions, identifiers or delivery format are not available from official sources, or when maintaining many agency-specific connectors costs more than the subscription. Compare the plan’s actual coverage and rights—not just its call allowance—with the engineering cost of building your own pipeline. For private-company financials, verified contacts, intent data or broad sales prospecting, explicitly test provenance, privacy basis and permitted use; neither SEC nor Census should be presented as a substitute for those products.
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Using the documented API call:
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Python
import requests
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Node.js
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Troubleshooting common access problems
“The API is free, but my use is blocked.”
Check the agency’s fair-access policy, User-Agent requirement, key registration and rate limits. Reduce concurrency, cache responses and retry later rather than creating more keys.
“The numbers do not match across sources.”
Compare definitions, fiscal periods, geography, release vintage and revisions. A Census estimate, an SEC filing metric and a registry record answer different questions.
“I cannot find private-company contacts.”
That is a coverage mismatch, not necessarily a query error. Government filing and economic APIs generally do not supply verified sales intelligence; evaluate a provider designed for that use and document its privacy and provenance basis.
“The same company appears several times.”
Resolve by jurisdiction and stable identifiers, then retain historical names and legal relationships. Do not merge records solely because names look similar.
“The bill or call count is higher than expected.”
Count retries, pagination and failed requests, and check whether your plan has separate daily and monthly allowances. Add caching and a hard application-side budget before scaling.
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Frequently Asked Questions
Can I use a government API for commercial business research?
Often, but access, licensing, attribution, privacy and redistribution rules are set by the dataset-owning agency. Read that dataset’s terms rather than assuming that an API key grants unrestricted commercial rights.
Is OpenCorporates free?
It has free API access for qualifying open-data projects under share-alike attribution conditions. Its displayed commercial Essentials tier was £225 per month or £2,250 per year when checked September 29, 2026; verify current pricing and eligibility directly.
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No. EDGAR is suited to U.S. public-company filings and extracted filing facts. It does not provide comprehensive private-company coverage, verified contacts or turnkey prospecting.
How do I make a no-contract data pipeline reliable?
Record provenance and vintages, use stable identifiers, cache responses, implement backoff and retries, distinguish missing data from failures, and test licensing before redistribution.
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