SEC EDGAR Company Financials 📊

🎉 Turn SEC EDGAR into clean, structured company-financial data — no login, no API key, one row per filer, with the CIK, ticker, industry (SIC), key financials and filing metadata. Built for equity research, financial analysis and B2B intelligence.

🔍 What is the SEC EDGAR Company Financials — and when should you use it?

Give this actor company names, tickers or CIKs and it returns matching companies from SEC EDGAR company filings (official open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a SEC filer company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need private-company data — EDGAR covers SEC filers (public companies and funds).

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/sec-edgar-financials.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull SEC filer company records using the Apify Actor `foxlabs/sec-edgar-financials`.
Input: `queries` is a list of company names, tickers or CIKs. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/sec-edgar-financials.md.

📋 Overview

Everything you need to turn SEC EDGAR company filings (official open data) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole filings, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~sec-edgar-financials/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names, tickers or CIKs.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names, tickers or CIKs.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
cik	Cik
name	Name
tickers	Tickers
exchanges	Exchanges
sic	Sic
sicDescription	Sic Description
ein	Ein
entityType	Entity Type
category	Category
fiscalYearEnd	Fiscal Year End
stateOfIncorporation	State Of Incorporation
formerNames	Former Names
phone	Phone
address	Principal address
source	Source
financials	Financials
computedMetrics	Computed Metrics
recentFilings	Recent Filings

💼 Use cases

1. Equity research — pull filers by industry with financials. Input: tickers or names. Output: financials + filings. Use: a research table.

2. Public-company targeting — build a list of SEC filers by SIC. Input: names. Output: filers + industry. Use: a target list.

3. KYB / verification — resolve a company to its CIK/ticker. Input: name or ticker. Output: the EDGAR record. Use: confirm identity.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/sec-edgar-financials').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/sec-edgar-financials').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads SEC EDGAR company filings (official open data).

What do I search by? Company names, tickers or CIKs.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What financials are included? Key figures and filing metadata drawn from the company’s SEC filings (CIK, ticker, SIC industry, latest filings).

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads public SEC EDGAR company filings. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1 — 2026-09-07

• Dropped empty-promise columns. Removed website, investorWebsite — SEC EDGAR company filings (official open data) does not carry them, so they were shipped as always-null columns. Only fields this source actually fills are now emitted.
• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from SEC EDGAR company filings (official open data) by name or registry ID.