FINRA Broker-Dealer Scraper — Financial Firm Leads avatar

FINRA Broker-Dealer Scraper — Financial Firm Leads

Under maintenance

Pricing

from $8.00 / 1,000 leads

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FINRA Broker-Dealer Scraper — Financial Firm Leads

FINRA Broker-Dealer Scraper — Financial Firm Leads

Under maintenance

Scrapes FINRA BrokerCheck for registered broker-dealer and investment advisor firm leads. Returns CRD number, SEC registration, address, branch count, and active status — perfect for fintech sales, compliance tools, and financial services B2B outreach.

Pricing

from $8.00 / 1,000 leads

Rating

0.0

(0)

Developer

GoCreative AI

GoCreative AI

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Scrapes FINRA BrokerCheck for registered broker-dealer and investment advisor firm leads. Returns CRD number, SEC registration, address, branch count, and active status — perfect for fintech sales, compliance tools, and financial services B2B outreach.

No API key, no signup, no subscription — pay only for what you scrape. Clean, structured output ready for CSV, JSON, Excel, or direct API export into your own pipeline.

What this scraper does

Scrapes FINRA BrokerCheck for registered broker-dealer and investment advisor firm leads. Returns CRD number, SEC registration, address, branch count, and active status — perfect for fintech sales, compliance tools, and financial services B2B outreach.

Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset — ready for your CRM, spreadsheet, AI agent, or data pipeline.

Use cases

  • B2B lead generation — build targeted prospect lists with verified, structured data
  • Sales prospecting — find companies and contacts that match your ICP
  • Market research & competitive intelligence — track an industry or niche in structured form
  • AI agents & automation — feed agents clean external data without scraping infra
  • Data enrichment — append fresh fields to your existing lists

Input

FieldDescription
queriesList of search terms to query FINRA BrokerCheck (e.g. 'securities', 'capital', 'wealth', 'hedge fund'). Each term is searched separately and
maxResultsMaximum number of unique firm records to return across all queries.
activeOnlyIf enabled, only returns firms with ACTIVE registration status. Disable to include inactive/terminated firms.
stateFilterTwo-letter US state code to filter results (e.g. NY, CA, TX). Leave blank to return firms from all states and countries.

Output

Every result is a clean structured record. Export the full dataset as CSV, JSON, or Excel from the Apify console, or pull it via the Apify API straight into your own tools.

Why use this actor

  • Scrape finra broker dealer leads — fast, structured, reliable.
  • Finra broker dealer leads data export (csv, json, excel) — fast, structured, reliable.
  • Finra broker dealer leads api alternative — no key required — fast, structured, reliable.
  • Automated finra broker dealer leads monitoring on a schedule — fast, structured, reliable.
  • Structured finra broker dealer leads records for ai agents and pipelines — fast, structured, reliable.

How it works

This actor pulls data directly from the source, structures it into clean rows, and pushes each result to the dataset. It runs on Apify's infrastructure — reliable, schedulable, and pay-per-result so you only pay for data you actually get.

Pricing

Pay-per-result via the Apify Store. No monthly subscription, no minimums — run it once or schedule it daily; you're only charged for the results returned.

FAQ

Do I need an API key or account? No. Just provide your input and run it.

Can I schedule it to run automatically? Yes — use Apify Schedules to run it hourly, daily, or weekly and get fresh data on autopilot.

What formats can I export? CSV, JSON, Excel, or via the Apify API.

Can I integrate it into my own app? Yes — call it via the Apify API and pull results directly into your pipeline.

Is the data accurate and fresh? Data is pulled live from the source on each run, so it reflects what's available at run time.