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SEC EDGAR Company Filings Scraper

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from $0.03 / 1,000 filing metadata rows

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SEC EDGAR Company Filings Scraper

SEC EDGAR Company Filings Scraper

Extract SEC EDGAR filing metadata by ticker or CIK with form/date filters, accession numbers, company fields, and direct SEC document URLs.

Pricing

from $0.03 / 1,000 filing metadata rows

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0.0

(0)

Developer

Hanna Nosova

Hanna Nosova

Maintained by Community

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2

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1

Monthly active users

16 hours ago

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Extract public SEC EDGAR company filing metadata by ticker or CIK. Get recent 10-K, 10-Q, 8-K, Form 4, and other filing rows with dates, accession numbers, company identifiers, and SEC document links.

What does SEC EDGAR Company Filings Scraper do?

SEC EDGAR Company Filings Scraper turns a list of public-company tickers or CIKs into a clean dataset of filing metadata.

You can use it to:

  • 🏒 Look up filings for public companies such as Apple, Microsoft, or Tesla
  • πŸ“„ Filter by SEC form type such as 10-K, 10-Q, 8-K, or 4
  • πŸ“… Restrict results to a filing date range
  • πŸ”— Export SEC filing detail URLs and primary document URLs
  • πŸ“Š Feed filing metadata into spreadsheets, databases, alerts, or dashboards

Who is it for?

This actor is useful for teams that monitor public-company disclosures.

  • πŸ’Ό Finance analysts tracking earnings reports and annual filings
  • 🧾 Compliance teams monitoring issuer disclosure activity
  • πŸ“° Journalists watching event-driven 8-K filings
  • πŸ“ˆ Investors and researchers building company filing datasets
  • 🧱 B2B data teams enriching company profiles with SEC metadata
  • πŸ€– Automation teams triggering workflows when new filings appear

Why use this actor?

SEC EDGAR data is public, but raw filing feeds can be awkward to normalize. This actor gives you a consistent row-per-filing dataset that is ready to export or integrate.

Benefits:

  • βœ… Ticker and CIK input support
  • βœ… Form and date filters
  • βœ… Clean dataset fields
  • βœ… Direct SEC links
  • βœ… Low-cost HTTP-based runs
  • βœ… No login or account required for the source data

What data can you extract?

Each output row represents one company filing.

FieldDescription
cikSEC Central Index Key, zero-padded
tickerStock ticker when known
companyNameCompany name from SEC data
sicSIC code when available
sicDescriptionSIC industry description
formSEC form type
filingDateFiling date
reportDateReport period date when present
accessionNumberSEC accession number
primaryDocumentPrimary filing document filename
filingDetailUrlSEC filing detail page URL
documentUrlDirect primary document URL
fileNumberSEC file number
filmNumberSEC film number
acceptanceDateTimeSEC acceptance timestamp
isXbrlWhether SEC marks the filing as XBRL
items8-K item list or related SEC item metadata

How much does it cost to scrape SEC EDGAR company filings?

The actor uses pay-per-event pricing:

  • Start event: $0.005 small one-time run fee
  • Filing metadata rows: charged per saved filing row

Formula-derived pricing was below the platform minimum granularity, so the live tiered row prices are: FREE $0.0000575, BRONZE $0.00005, SILVER $0.000039, GOLD $0.00003, PLATINUM $0.00002, and DIAMOND $0.000014 per filing metadata row. The BRONZE tier is $0.05 per 1,000 rows.

How to scrape SEC filings

  1. Open the actor on Apify.
  2. Add one or more tickers or CIKs.
  3. Optionally add form filters such as 10-K, 10-Q, and 8-K.
  4. Optionally set dateFrom and dateTo.
  5. Choose the maximum filings per company.
  6. Run the actor.
  7. Export the dataset as JSON, CSV, Excel, XML, or HTML.

Input example

{
"tickersOrCiks": ["AAPL", "MSFT"],
"forms": ["10-K", "10-Q", "8-K"],
"dateFrom": "2024-01-01",
"maxFilingsPerCompany": 25,
"includeDocuments": true,
"requestDelayMs": 120
}

Input options

Tickers or CIKs

Use stock tickers such as AAPL or SEC CIKs such as 0000320193.

Form types

Leave the form list empty to include all recent form types. Add values such as:

  • 10-K
  • 10-Q
  • 8-K
  • 4
  • S-1
  • DEF 14A

Date filters

Use YYYY-MM-DD dates. The actor filters on SEC filing date.

Maximum filings per company

Use a small number for testing and a larger number for production exports.

Include document URLs

When enabled, each row includes a direct URL to the primary filing document when SEC provides one.

Request delay

A polite delay helps keep requests moderate for large batches of companies.

Output example

{
"cik": "0000320193",
"ticker": "AAPL",
"companyName": "Apple Inc.",
"sic": "3571",
"sicDescription": "Electronic Computers",
"form": "10-Q",
"filingDate": "2024-08-02",
"reportDate": "2024-06-29",
"accessionNumber": "0000320193-24-000081",
"primaryDocument": "aapl-20240629.htm",
"filingDetailUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000081/0000320193-24-000081-index.html",
"documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000081/aapl-20240629.htm",
"fileNumber": "001-36743",
"filmNumber": "241168450",
"acceptanceDateTime": "2024-08-01T18:03:34.000Z",
"isXbrl": true,
"items": ""
}

Tips for best results

  • Start with one or two tickers while testing.
  • Use CIKs when a company ticker has changed.
  • Use date filters for recurring monitoring jobs.
  • Leave forms empty when you need a complete recent filing feed.
  • Use maxFilingsPerCompany to control dataset size.

Common use cases

  • πŸ“ˆ Monitor new earnings filings
  • 🧾 Build compliance review queues
  • πŸ“° Track material event 8-K disclosures
  • 🏒 Enrich public-company databases
  • πŸ”” Trigger alerts for selected form types
  • πŸ“š Create historical filing metadata exports

Integrations

You can connect the dataset to many downstream tools:

  • Google Sheets or Excel for analyst workflows
  • BI tools for disclosure dashboards
  • Databases and warehouses for company intelligence
  • Slack or email alerts through Apify integrations
  • Webhooks for event-driven filing monitoring
  • LLM workflows that need filing links and metadata

API usage with Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/sec-edgar-company-filings-scraper').call({
tickersOrCiks: ['AAPL', 'MSFT'],
forms: ['10-K', '10-Q'],
maxFilingsPerCompany: 10
});
console.log(run.defaultDatasetId);

API usage with Python

from apify_client import ApifyClient
import os
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/sec-edgar-company-filings-scraper').call(run_input={
'tickersOrCiks': ['AAPL', 'MSFT'],
'forms': ['10-K', '10-Q'],
'maxFilingsPerCompany': 10,
})
print(run['defaultDatasetId'])

API usage with cURL

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~sec-edgar-company-filings-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"tickersOrCiks":["AAPL"],"forms":["10-K"],"maxFilingsPerCompany":5}'

MCP integration

Use this actor from MCP-compatible tools through Apify MCP Server.

MCP URL:

https://mcp.apify.com/?tools=fetch_cat/sec-edgar-company-filings-scraper

Claude Code setup:

$claude mcp add apify-sec-edgar https://mcp.apify.com/?tools=fetch_cat/sec-edgar-company-filings-scraper

MCP JSON configuration:

{
"mcpServers": {
"apify-sec-edgar": {
"url": "https://mcp.apify.com/?tools=fetch_cat/sec-edgar-company-filings-scraper"
}
}
}

Example prompts:

  • "Run SEC EDGAR Company Filings Scraper for AAPL and summarize the latest 10-Q filings."
  • "Find recent 8-K filings for MSFT and return the filing URLs."
  • "Export the latest annual filings for these public companies."

Scheduling and monitoring

Create a scheduled Apify task to run the actor daily or weekly. Combine date filters and form filters to monitor the filings that matter to your team.

For example:

  • Daily 8-K monitor for a watchlist
  • Weekly 10-Q and 10-K export
  • Monthly company disclosure archive update

Legality and source policy

SEC EDGAR filing metadata is public information. You are responsible for using exported data lawfully and respecting applicable rules, terms, and regulations.

Use moderate request volumes and avoid abusive traffic patterns. The actor includes a configurable request delay for polite pacing.

Troubleshooting

Why did a ticker return no results?

The ticker may be invalid, recently changed, or not present in the SEC ticker mapping. Try the company's CIK instead.

Why are there fewer filings than I expected?

Check your form filters, date filters, and maxFilingsPerCompany. Leaving forms empty returns all recent form types.

Why is documentUrl empty?

Some filings may not have a primary document value, or includeDocuments may be disabled.

FAQ

Can I scrape full filing text?

This version focuses on filing metadata and filing URLs. Full document extraction may be added later with separate pricing because it costs more to process.

Can I use CIKs instead of tickers?

Yes. Use zero-padded or non-padded CIK values.

Does this require SEC login?

No. The actor uses public SEC filing metadata.

Can I export to CSV?

Yes. Apify datasets can be exported as CSV, JSON, Excel, XML, RSS, and HTML.

Other actors by fetch_cat may help with company and business-data workflows:

Changelog

0.1

Initial version with ticker/CIK input, form/date filters, and filing metadata output.

Support

If a run does not produce the filings you expect, open an issue from the Apify run page and include your input and expected company/form/date range.