Pricing
from $8.00 / 1,000 leads
Sec Xbrl Company Screener Scraper
Screen SEC-registered public companies by financial metric β revenue, assets, R&D, net income, and more. Uses the free EDGAR XBRL API. Filter by value range, US state, and SIC code. Results include company name, CIK, ticker, exchange, SIC, phone, and EDGAR URL.
Pricing
from $8.00 / 1,000 leads
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1
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3 days ago
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Screen SEC-registered public companies by financial metric β revenue, assets, R&D, net income, and more. Uses the free EDGAR XBRL API. Filter by value range, US state, and SIC code. Results include company name, CIK, ticker, exchange, SIC, phone, and EDGAR URL.
No API key, no signup, no subscription β 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
Screen SEC-registered public companies by financial metric β revenue, assets, R&D, net income, and more. Uses the free EDGAR XBRL API. Filter by value range, US state, and SIC code. Results include company name, CIK, ticker, exchange, SIC, phone, and EDGAR URL.
Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset β ready for your CRM, spreadsheet, AI agent, or data pipeline.
Use cases
- B2B lead generation β build targeted prospect lists with verified, structured data
- Sales prospecting β find companies and contacts that match your ICP
- Market research & competitive intelligence β track an industry or niche in structured form
- AI agents & automation β feed agents clean external data without scraping infra
- Data enrichment β append fresh fields to your existing lists
Input
| Field | Description |
|---|---|
preset | Choose the financial metric to screen by. Each preset maps to a specific XBRL concept and period. |
minValue | Only include companies with a metric value at or above this amount. Example: 10000000 for $10M minimum revenue. |
maxValue | Only include companies with a metric value at or below this amount. |
maxResults | Maximum number of companies to return (up to 500). |
enrichWithDetails | Fetch additional details per company (ticker, exchange, SIC code, phone, website) from EDGAR submissions API. Adds ~0.1s per result. |
stateCode | Filter companies by US state location code from EDGAR. Examples: US-CA (California), US-TX (Texas), US-NY (New York). |
sicCode | Filter by 4-digit SIC code (requires Enrich With Details). Examples: 7372 (Prepackaged Software), 6022 (State Commercial Banks), 3674 (Semic |
period | Override the period for the selected preset. Duration examples: CY2022, CY2021. Instant (point-in-time) examples: CY2022Q4I, CY2023Q2I. |
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 sec xbrl company screener β fast, structured, reliable.
- Sec xbrl company screener data export (csv, json, excel) β fast, structured, reliable.
- Sec xbrl company screener api alternative β no key required β fast, structured, reliable.
- Automated sec xbrl company screener monitoring on a schedule β fast, structured, reliable.
- Structured sec xbrl company screener records for ai agents and pipelines β 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 β 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 β 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 β 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 β 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.
