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SEC Filings Scraper

Pricing

from $0.85 / 1,000 company records

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SEC Filings Scraper

SEC Filings Scraper

Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional filing text, XBRL facts, and monitoring alerts.

Pricing

from $0.85 / 1,000 company records

Rating

0.0

(0)

Developer

Rigel Bytes

Rigel Bytes

Maintained by Community

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0

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2 days ago

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Extract clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional filing text, XBRL financial facts, and monitoring alerts — for just $1 per 1,000 dataset items.


What can SEC Filings Scraper do for you?

  • Track company filings — Monitor 8-K, 10-Q, 10-K, and any EDGAR form type for your portfolio or watchlist
  • Extract structured financial data — Pull normalized XBRL metrics (revenue, net income, assets, liabilities) with provenance tracking
  • Receive real-time alerts — Get filing notifications via Discord, Slack, or HTTPS webhooks when new documents appear
  • Incremental monitoring — Schedule runs that only return new filings since the last check, so you never miss a submission
  • Download document text — Retrieve cleaned primary filing text in plain text, markdown, or raw HTML format
  • Resolve any filing — Look up filings by accession number or SEC URL and get normalized metadata back

What data can you extract?

FieldDescription
🏢 Company profileName, CIK, tickers, exchange, SIC, EIN, addresses, former names
📄 Filing metadataForm type, filing date, report date, acceptance time, accession number
🔗 Official URLsFiling index, directory, primary document, complete submission text
📋 Document manifestExhibits, XBRL files, GRAPHIC files with sequence and content type
📝 Primary documentCleaned text, markdown, or raw HTML (optional)
📊 XBRL factsNormalized metrics (revenue, netIncome, assets, etc.) or raw SEC taxonomy
📡 Source infoSEC EDGAR provider, retrieval timestamp, source endpoint
⚠️ ErrorsCompany-not-found, ambiguous-name errors as structured dataset items

Why use this scraper?

  • 📊 Investment research — Build a curated dataset of SEC filings for fundamental analysis and due diligence
  • 🔔 Portfolio monitoring — Schedule the scraper to alert you when a company files an 8-K or 10-Q
  • 🤖 Automation workflows — Feed normalized EDGAR data into analytics pipelines, dashboards, or AI models
  • Compliance tracking — Monitor regulatory filings by form type across multiple companies
  • 📤 Team notifications — Route filing events to Slack, Discord, or custom webhooks in real time

Pricing

  • $1/1,000 dataset items
  • No hidden fees or limits on usage.
  • Apify plan discounts (Bronze/Silver/Gold) apply automatically for published actors.

How to use SEC Filings Scraper

  1. Create an Apify account at console.apify.com (free tier available).
  2. Open the SEC Filings Scraper in Apify Console.
  3. Configure SEC Fair Access — enter your organization name and contact email (required by SEC policy).
  4. Set your query — choose a mode (companyFilings, latestFilings, etc.) and add tickers or CIKs.
  5. Adjust filters — optionally set form types, date ranges, limits, document download, and XBRL extraction.
  6. Click Start — results appear in the Dataset tab; a summary is stored in the key-value store.

Input

FieldTypeRequiredDescription
modestringYesOperating mode: companyFilings, latestFilings, filingLookup, companyProfile, financialFacts
companiesarrayNoTickers (AAPL), CIK numbers (320193), or company names
formTypesarrayNoSEC form types to include (e.g. 10-K, 10-Q, 8-K). Empty = all forms
startDatestringNoFiling date start (YYYY-MM-DD)
endDatestringNoFiling date end (YYYY-MM-DD)
maxItemsintegerNoMaximum dataset items (default 100, max 10,000)
maxItemsPerCompanyintegerNoOptional per-company cap
includeAmendmentsbooleanNoInclude /A amendments (default true)
latestOnlybooleanNoReturn only the latest filing per company or company+form (default false)
latestGroupingstringNocompany or companyAndForm (default companyAndForm)
includeCompanyProfilebooleanNoAttach issuer metadata (default true)
includeDocumentsbooleanNoAttach document manifest (default true)
includePrimaryDocumentTextbooleanNoDownload cleaned filing text (default false)
documentTextFormatstringNotext, markdown, or rawHtml (default text)
maxDocumentSizeMbintegerNoSkip documents larger than this (default 20, max 100)
includeExhibitsbooleanNoInclude exhibit metadata (default false)
exhibitContentModestringNometadataOnly, text, or rawHtml (default metadataOnly)
includeXbrlFactsbooleanNoExtract structured XBRL financial facts (default false)
xbrlOutputModestringNonormalized, raw, or both (default normalized)
financialMetricsarrayNoSpecific normalized metrics to extract
includeLowConfidenceMetricsbooleanNoInclude low-confidence XBRL mappings (default false)
filingUrlsarrayNoSEC filing URLs for filingLookup mode
accessionNumbersarrayNoAccession numbers for filingLookup mode
outputModestringNocompact, standard, or extended (default standard)
monitoringobjectNoIncremental run configuration (enabled, monitorId, onlyNew, etc.)
deliveryobjectNoWebhook/Discord/Slack delivery configuration
secAccessobjectYesOrganization name, contact email, requests per second
proxyConfigurationobjectNoOptional proxy (default: no proxy)
debugbooleanNoEnable verbose debug logging (default false)

📝 Copy for Use:

{
"mode": "companyFilings",
"companies": ["AAPL", "MSFT", "NVDA"],
"formTypes": ["8-K", "10-Q", "10-K"],
"maxItems": 25,
"includeDocuments": true,
"includeCompanyProfile": true,
"outputMode": "standard",
"secAccess": {
"organizationName": "Your Company",
"contactEmail": "you@example.com",
"requestsPerSecond": 5
}
}

Output example

{
"recordType": "filing",
"id": "0000320193-26-000045",
"accessionNumber": "0000320193-26-000045",
"company": {
"name": "Apple Inc.",
"cik": "320193",
"tickers": ["AAPL"],
"exchanges": ["Nasdaq"],
"sic": "3571",
"sicDescription": "Electronic Computers",
"category": "Large accelerated filer"
},
"filing": {
"formType": "8-K",
"baseFormType": "8-K",
"isAmendment": false,
"filingDate": "2026-02-24",
"reportDate": "2026-02-24",
"acceptedAt": "2026-02-24T21:55:58.000Z",
"items": ["5.07", "9.01"]
},
"urls": {
"filingIndex": "https://www.sec.gov/Archives/edgar/data/320193/000114036126006577/0001140361-26-006577-index.html",
"primaryDocument": "https://www.sec.gov/Archives/edgar/data/320193/000114036126006577/ef20060722_8k.htm",
"completeSubmissionText": "https://www.sec.gov/Archives/edgar/data/320193/000114036126006577/000114036126006577.txt"
},
"documents": [
{
"sequence": "1",
"filename": "ef20060722_8k.htm",
"documentType": "8-K",
"isPrimary": true,
"isExhibit": false
}
],
"source": {
"provider": "U.S. Securities and Exchange Commission",
"system": "EDGAR",
"retrievedAt": "2026-07-30T10:51:05.410389Z"
}
}

Company-resolution errors produce dataset items with recordType: "error" so other companies in the same run still succeed.


Why Choose This Scraper?

  • Affordable: Pay only $1 per 1,000 dataset items scraped.
  • Comprehensive: Every EDGAR filing type, company profile data, optional XBRL facts, document text, and delivery alerts.
  • Easy to Use: Input tickers or CIKs once, configure filters, and let the Actor handle SEC EDGAR pagination, rate limits, and data normalization.
  • Reliable: Built on official SEC APIs and data archives with proper rate limiting, retry logic, and fair-access compliance.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.


API examples

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run_input = {
"mode": "companyFilings",
"companies": ["AAPL", "MSFT", "NVDA"],
"formTypes": ["8-K", "10-Q", "10-K"],
"maxItems": 25,
"includeDocuments": True,
"outputMode": "standard",
"secAccess": {
"organizationName": "Your Company",
"contactEmail": "you@example.com",
"requestsPerSecond": 5
}
}
run = client.actor("rigelbytes/sec-filings-intelligence").call(run_input=run_input)
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const runInput = {
mode: 'companyFilings',
companies: ['AAPL', 'MSFT', 'NVDA'],
formTypes: ['8-K', '10-Q', '10-K'],
maxItems: 25,
includeDocuments: true,
outputMode: 'standard',
secAccess: {
organizationName: 'Your Company',
contactEmail: 'you@example.com',
requestsPerSecond: 5
}
};
const run = await client.actor('rigelbytes/sec-filings-intelligence').call(runInput);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

cURL

curl "https://api.apify.com/v2/acts/rigelbytes~sec-filings-intelligence/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"mode": "companyFilings",
"companies": ["AAPL", "MSFT", "NVDA"],
"formTypes": ["8-K", "10-Q", "10-K"],
"maxItems": 25,
"includeDocuments": true,
"outputMode": "standard",
"secAccess": {
"organizationName": "Your Company",
"contactEmail": "you@example.com",
"requestsPerSecond": 5
}
}'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

  • Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
  • Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
  • Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

  1. Residential Proxies
    • Real IP addresses provided by ISPs to home users.
    • They mimic regular users, making them harder to detect.
    • Best for: Long-term, undetectable scraping, and avoiding blocks.
  2. Data Center Proxies
    • IP addresses from servers in data centers.
    • Faster and cheaper than residential proxies but easier to detect and block.
    • Best for: High-speed scraping, but with a higher risk of detection.
  3. Mobile Proxies
    • IPs provided by mobile carriers (3G/4G/5G networks).
    • Very difficult to detect, as they appear as regular mobile users.
    • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

  • Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
  • Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.


Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.


Detailed Data

[
{
"recordType": "filing",
"id": "0001140361-26-006577",
"accessionNumber": "0001140361-26-006577",
"company": {
"name": "Apple Inc.",
"cik": "320193",
"tickers": ["AAPL"],
"exchanges": ["Nasdaq"],
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