FINRA BrokerCheck Scraper — Brokers, Advisors & Firms

Turn the public FINRA BrokerCheck database into clean, structured data — every US broker, financial advisor, broker-dealer and RIA. Search by name, firm, state, exam/license, or CRD number and export 30+ fields per record to CSV, JSON, or Excel.

✅ No API key. No rate limits. No login. BrokerCheck is public record published by FINRA — this Actor just makes it usable, with built-in retry/backoff so large pulls finish cleanly.

What you can do with it

• Build a targeted list — e.g. every advisor at LPL Financial in Texas, with firm, office address, tenure, and disclosures.
• Verify a roster of CRDs — paste a list of CRD numbers and get back current status, firm, registered states and disclosure history (compliance & KYC).
• Recruit by license — find everyone holding a Series 65 / Series 7 (or any exam) at a given firm or state.
• Pull firm / RIA data — search broker-dealers and RIAs (Form ADV): status, SEC #, branch count, office address, disclosures.
• Feed an AI agent — call it as a tool over MCP, or wire it into n8n, Make and Zapier to monitor advisors automatically.

Example input

{
  "searchType": "individual",
  "firm": "LPL FINANCIAL",
  "state": "TX",
  "examNames": ["Series 65"],
  "fetchDetails": true,
  "maxResults": 200
}

Sample output (one record, trimmed)

{
  "crd": "1113790",
  "firstName": "JOHN",
  "lastName": "SMITH",
  "statusText": "Active",
  "currentFirm": "LPL FINANCIAL LLC",
  "currentFirmSince": "5/7/2020",
  "branchStreet": "14 MAIN STREET, SUITE 305B",
  "branchCity": "MADISON",
  "branchState": "NJ",
  "latitude": "40.758346",
  "longitude": "-74.420134",
  "registeredStateCodes": ["CA", "CO", "DE", "FL", "NJ", "NY"],
  "disclosureCount": 0,
  "brokerCheckUrl": "https://brokercheck.finra.org/individual/summary/1113790"
}

What you get (30+ fields)

• Identity: CRD, name, broker & advisor status (human-readable), industry start date, registration count.
• Firm & office: current firm + CRD, tenure, and the exact branch street address with latitude/longitude (with fetchDetails).
• Licensing: exams held (Series 7/65/…), and registered states with scope, status and date.
• Risk: disclosure count and full disclosure history; previous employment history.
• Trust: a one-click link to the official BrokerCheck profile.
• Firms: name, BD/RIA status, SEC #, branch count, office address, disclosures.

Works with AI agents & automation

Every Apify Actor is exposed as a tool over the Model Context Protocol (MCP), so AI agents can call this scraper directly. It also runs from n8n, Make, Zapier, the Apify API, or on a schedule.

Good to know

• Source: public FINRA BrokerCheck — no PII beyond what FINRA publishes.
• fetchDetails enriches each person with disclosures, exams, registered states, tenure, branch address and geo (one extra request per record).
• CRD look-ups always resolve a known person regardless of other filters.

Input reference

Field	Type	Description
query	string	Name, firm, location, or CRD number to search.
searchType	string	individual (brokers & advisors) or firm (broker-dealers & RIAs).
queries	array	Run several searches in one go; merged and de-duplicated by CRD.
crdNumbers	array	Look up specific people directly by CRD number (verify a known list).
state	string	Two-letter state code (e.g. NY). Keeps records registered in that state.
firm	string	Individuals only: keep only people at this firm, e.g. LPL FINANCIAL.
examNames	array	Individuals only: keep only holders of these exams, e.g. Series 65.
maxResults	integer	Max number of records to collect (default 100).
fetchDetails	boolean	Enrich each person with disclosures, exams, states, tenure, branch & geo.
activeOnly	boolean	Keep only currently active records.
hasDisclosureOnly	boolean	Keep only records with disclosure events.
includeRaw	boolean	Include the full raw FINRA source object (default off).

Run locally

pip install -r requirements.txt
apify run