SEC EDGAR 10-K, 10-Q & 8-K Company Filings Scraper [$1/1K] avatar

SEC EDGAR 10-K, 10-Q & 8-K Company Filings Scraper [$1/1K]

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from $1.00 / 1,000 results

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SEC EDGAR 10-K, 10-Q & 8-K Company Filings Scraper [$1/1K]

SEC EDGAR 10-K, 10-Q & 8-K Company Filings Scraper [$1/1K]

Extract official US SEC EDGAR regulatory filings (10-K annual reports, 10-Q quarterly financials, 8-K current events, Form 4 insider trades) with direct SEC.gov document links via the official EDGAR API. Powered by YakeddGraph.

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from $1.00 / 1,000 results

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YakeddGraph Engineering

YakeddGraph Engineering

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🚀 SEC EDGAR 10-K, 10-Q & 8-K Company Filings Scraper [$1/1K]

Extract structured, verified data in seconds with yakeddgraph/sec-edgar-filings-scraper — engineered for zero-cookie execution, 512 MB ultra-light cloud containers, and seamless Model Context Protocol (MCP) & REST API integration.


⚡ Why Choose This Actor? (Top-Tier Comparison)

FeatureYakeddGraph (sec-edgar-filings-scraper)Typical Store Competitors
Pricing$1.00 per 1,000 results ($0.001/item Pay-Per-Event)$5.00 – $25.00 / 1,000 results + Monthly Rental
Cookies / Login Required?No Cookies or Login RequiredOften requires session cookies
Residential Proxies Needed?No (Zero Proxy Cost)Expensive residential proxy burn
Memory Footprint512 MB Ultra-Light Container (16x concurrent runs on Free tier)4,096 MB heavy browser instances
AI & MCP ReadyNative Support for Claude Desktop, Cursor & Custom GPTsManual integration required

🤖 Connect to Claude Desktop, Cursor & Windsurf (Apify MCP Server)

Add this Actor as a native tool inside Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):

{
"mcpServers": {
"yakeddgraph-sec-edgar-filings-scraper": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"yakeddgraph/sec-edgar-filings-scraper"
],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
}
}
}
}

🛠️ Input Parameters & Example Payload

ParameterTypeDescription
cik_or_tickerstring10-digit SEC CIK (e.g. 0000320193) or major ticker (AAPL, MSFT, NVDA, TSLA, AMZN, GOOGL, META).
form_filterstringOptional form filter such as '10-K', '10-Q', '8-K', or '4' (leave empty for all recent filings).
max_filingsintegerMaximum number of SEC EDGAR filings to extract (up to 100).

Example Input JSON

{
"cik_or_ticker": "AAPL",
"form_filter": "",
"max_filings": 30
}

📊 Real Verified Output Dataset Sample

{
"company_name": "Apple Inc.",
"ticker": "AAPL",
"cik": "0000320193",
"form_type": "10-K",
"filing_date": "2026-11-01",
"report_date": "2026-09-28",
"accession_number": "0000320193-26-000106",
"primary_doc_description": "10-K Annual Report",
"filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000106/aapl-20260928.htm",
"extracted_by": "YakeddGraph SEC EDGAR Intelligence"
}

🔌 Quickstart API Integration (Python, Node.js & cURL)

Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("yakeddgraph/sec-edgar-filings-scraper").call(run_input={
"cik_or_ticker": "AAPL",
"form_filter": "",
"max_filings": 30
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Direct Synchronous REST API (cURL)

curl -X POST "https://api.apify.com/v2/acts/yakeddgraph~sec-edgar-filings-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"cik_or_ticker": "AAPL", "form_filter": "", "max_filings": 30}'