SEC EDGAR Filings Search & Export

Search official SEC EDGAR filings by ticker, CIK, or company name. Export current and historical filing metadata with direct document URLs. Results are returned as clean, typed dataset rows suitable for CSV, JSON, automation, and AI-agent workflows.

What data can I extract?

Each row carries 71 flat columns, and the dataset schema documents every one of them before a run starts.

• Filing: form, is_amendment, filing_date, report_date, acceptance_datetime, accession_number, act, file_number, film_number, items, size_bytes, is_xbrl, is_inline_xbrl, primary_document, primary_document_description.
• Registrant: cik, company_name, ticker, tickers, exchange, exchanges, entity_type, filer_category, owner_org, ein, phone, sic, sic_description, state_of_incorporation, state_of_incorporation_description, fiscal_year_end, former_names, current_name_since, has_insider_transactions_as_owner, has_insider_transactions_as_issuer.
• Addresses, split into scalar columns plus a one-line version for CRM import: business_address, business_address_street1, business_address_street2, business_address_city, business_address_state, business_address_state_description, business_address_zip, business_address_country, business_address_is_foreign, and mailing_address, mailing_address_street1, mailing_address_street2, mailing_address_city, mailing_address_state, mailing_address_zip, mailing_address_country.
• Direct links: filing_url, primary_document_url, filing_directory_url, filing_txt_url (the whole submission as one text file), company_submissions_url, company_filings_url.
• Filing header detail, added when include_filing_details is on: document_count, document_types, exhibit_count, item_descriptions (readable 8-K item names), filer_names, filer_ciks, reporting_owner_names, reporting_owner_ciks, issuer_name, issuer_cik, subject_company_name, subject_company_cik, group_members, filing_date_changed.

Input example

{
  "companies": [
    "AAPL",
    "MSFT"
  ],
  "forms": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "date_from": "2024-01-01",
  "include_amendments": false,
  "include_filing_details": true,
  "max_items": 25,
  "sec_user_agent": "Your Organization monitored-email@your-domain.com"
}

max_items is a hard output and billing ceiling. Source fields may be null when the upstream public record does not provide them.

Output example

Each dataset item is one normalized result. The field names shown under What data can I extract are emitted as typed JSON properties and can be exported as CSV, Excel, XML, or RSS.

Common use cases

• Lead, market, compliance, and competitive research
• Scheduled monitoring and change detection
• CSV/JSON enrichment pipelines
• AI-agent retrieval and workflow automation

Pricing and cost control

Output is billed per result at $0.002 per result (about $2.00 per 1,000 results), plus a $0.0005 Actor-start charge billed once per gigabyte of memory at run start. Use max_items to cap both output volume and charges. The price shown on the Apify Store listing is authoritative.

Use with AI agents and MCP

Apify's MCP server can discover and call this Actor. Example intent:

Retrieve Apple and Microsoft 10-K and 10-Q filings filed since 2024.

Use the JSON input above as the tool arguments, changing filters and max_items as needed. The strict input schema rejects unknown properties, and the typed dataset schema describes the returned tool data.

Reliability

Runs use bounded retries, deduplication, hard result limits, and explicit failure handling. Browser-based sources are monitored by contract canaries and staged selector repair; official-API sources use deterministic contract canaries rather than DOM repair.

Limitations and responsible use

• Publicly available source data only; coverage and field availability depend on the upstream source.
• A successful search can legitimately return no matching records.
• Point-in-time fields can change after collection.
• Use the data in accordance with applicable law and source terms.
• Do not use results for prohibited eligibility, discrimination, or sensitive-person profiling decisions.

FAQ

What search phrases does this Actor support?

The input schema lists exact accepted fields and examples. Primary discovery terms: SEC EDGAR scraper, SEC filings search, 10-K filings API, company filings export.

Can I control cost?

Yes. Set max_items; it is enforced as the maximum number of output records.

Can an AI agent call it?

Yes. Use Apify MCP search-actors, inspect this Actor's schema, then call it with the same JSON accepted in Console.

Does it require an external API key?

No external API key is required. SEC EDGAR uses the publisher contact by default and accepts an optional monitored-contact override in sec_user_agent.

Changes

See ./CHANGELOG.md for contract and maintenance updates.