New Business Filings Scraper: US State Open Data Leads
Pricing
$3.00 / 1,000 business records
New Business Filings Scraper: US State Open Data Leads
Fresh business registrations for B2B sales, accountants, insurers and local services: filter official state records by filing date, entity type, status and city, get one schema with entity name, type, formation date, principal address and a link to the source dataset.
Pricing
$3.00 / 1,000 business records
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Developer
Paul Vasquez
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US Business Filings
What it does
Find recent business registrations in four official open-data feeds and export consistent JSON or CSV records. Sources are Colorado, Connecticut, Pennsylvania and Delaware. Delaware supplies business licences; its dates describe licence validity rather than legal incorporation. This is a discovery feed, not a certificate of good standing.
Before requesting records, the actor reads each dataset's live metadata. It accepts only PUBLIC_DOMAIN or USGOV_WORKS, requires a licence name, and checks the dataset ID. A refused dataset produces one free diagnostic. Only the four approved state datasets are routed. Unavailable sources in saved inputs produce free diagnostics without network requests. The actual licence name accompanies every business record.
Input
The daily default is:
{"sources":["colorado"],"maxItems":50}
Choose sources from colorado, connecticut, pennsylvania, and delaware. Sources run in the supplied order; maxItems is a shared cap, so an earlier source can fill it. Run sources separately when each needs its own quota.
registeredFrom and registeredTo accept inclusive YYYY-MM-DD dates. Both blank means the last seven calendar days through today in UTC. A blank start uses six days before the end.
entityTypes accepts exact source codes or labels. Colorado uses codes such as DLLC; other portals use different labels. city and zip are exact matches; keyword is a business-name substring. Text matching ignores case. Keep postal codes as strings. Unsupported filters produce a free diagnostic rather than silently broadening the search.
includeAgentNames defaults to false. When enabled, agentNames contains available name components from the first encountered source row for that entity. It is not a complete officer directory. appToken is an optional secret Socrata application token, sent as the X-App-Token header; no key is required. Requests are spaced at least half a second apart per portal, including retries and metadata calls. Two retries honour Retry-After, with one- and two-second minimum backoffs. A 105-second network deadline prevents extended retry loops.
Output
Each business-record has source, datasetId, licence, entityId, entityName, entityType, status, formationDate, principalStreet, principalCity, principalState, principalZip, mailingCity, mailingState, jurisdiction, naicsCode, sourceUrl and fetchedAt. Missing or invalid values become null. IDs and postal codes stay strings; formationDate is an ISO date. rowType separates business records from free diagnostics. Source status is preserved, not inferred. There are no raw payloads, personal emails or phone numbers.
Pennsylvania's source address is the published registration address and may be an officer or service address. Duplicate source/entity IDs produce only one record. Malformed multiline business names containing embedded records are skipped.
Example output
Real trimmed Colorado record from local live validation:
{"rowType": "business-record","source": "colorado","datasetId": "4ykn-tg5h","licence": "Public Domain","entityId": "20268124220","entityName": "Snowdrop & Shadow Praxis, LLC","entityType": "DLLC","formationDate": "2026-09-25","principalCity": "Fort Collins","principalState": "CO","sourceUrl": "https://data.colorado.gov/d/4ykn-tg5h"}
Use cases
- Bookkeeping firms can identify recently registered businesses in their service city and verify relevant prospects before outreach.
- Chamber-of-commerce membership teams can discover new local entities and check whether membership invitations are appropriate.
- Commercial insurance brokers can review entity types and registration dates to prioritize business research.
- Economic-development analysts can compare registration activity within a source using consistent dates and deduplicated identifiers.
Pricing example
The business-record event costs $0.003 per successful unique record: 50 records cost $0.15, and 1,000 cost $3.00 in event charges. Diagnostics, empty searches and refused datasets are free. The actor stops when the charging budget is denied and retains the last granted record. Platform billing and deployment remain unverified; local validation does not charge money.
Limitations
Registered-agent and associated-person names are dropped by default. Entity names can themselves be sole traders' names, and entity addresses can be home addresses of one-person companies. This data is for business outreach that follows local marketing law; public availability is not consent to contact someone. Verify suitability, source accuracy and current status before use. Updates can lag, fields can change, and sources do not provide nationwide coverage or equivalent measures of business formation.
Sources and licences
Data from the named state open-data portal, published as public domain. Not affiliated with any Secretary of State. Dataset IDs and detailed portal-terms findings are in TERMS.md. Colorado, Connecticut and Delaware use PUBLIC_DOMAIN; Pennsylvania uses USGOV_WORKS. Metadata licensing does not remove privacy obligations.
Colorado's required disclaimer follows: The data made available here has been modified for use from its original source, which is the State of Colorado. THE STATE OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTY AS TO THE COMPLETENESS, ACCURACY, TIMELINESS, OR CONTENT OF ANY DATA MADE AVAILABLE THROUGH THIS SITE. THE STATE OF COLORADO EXPRESSLY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the Web feed is being used at one's own risk.