SEC Filings Scraper - Company Filings Watch

Get SEC Filings Scraper - Company Filings Watch results as clean JSON, CSV or Excel, from the Apify API or on a schedule. No login, about $1.40 for 1,000 results.

What does SEC Filings Scraper - Company Filings Watch do?

SEC Filings Scraper - Company Filings Watch extracts structured data from data.sec.gov. Collect US company filings from the SEC's public data APIs: every filing of the companies you name (tickers or CIK numbers), or every filing of chosen form types across all companies (e.g. each new Form D or 8-K), as clean records with company, form, dates, 8-K items and direct links, watched for new filings. It works as an API for data.sec.gov data: run it from Apify Console, on a schedule, or from your own code, and get clean, typed JSON with numbers as numbers and dates in ISO 8601.

What you get

Data	18 fields per item: accessionNumber, cik, company, tickers, form, isAmendment, ...
Formats	JSON, CSV, Excel, HTML, or the Apify API
Price	$1.40 per 1,000 results, pay per result
Access	Public data.sec.gov data only: no login, no cookies, robots.txt respected
Licence	SEC public information: 'free to access and reuse' and 'may be copied or further distributed ... without the SEC's permission' (please cite the SEC as the source). Not affiliated with or approved by the SEC.

Why use SEC Filings Scraper - Company Filings Watch?

• Analysts and researchers: export the data to a spreadsheet or database.
• Developers: call it from your own code through the Apify API.
• Monitoring: run it on a schedule and compare results over time.
• AI agents and RAG: give an LLM live structured data.

Main features:

• Gets each source's results in as few requests as possible and stops at maxItems results.
• Filters: companies (companies), formTypes (form types), includeAmendments (include amendments), filedAfter (filed on or after), filedBefore (filed on or before), onlyChanges (only changes since the last run), so you only get (and pay for) the results you need.
• Polite by default: respects robots.txt, at most maxConcurrency parallel requests and a delay between requests.
• Checks every result against field validators, so layout changes show up as clear data-quality warnings.
• Runs on the Apify platform: scheduling, API access, integrations, monitoring and datasets you can export.

What data can SEC Filings Scraper - Company Filings Watch extract?

Field	Type	Description
accessionNumber	string	SEC accession number of the filing
cik	string	Company CIK number
company	string	Company name
tickers	array	Tickers (company mode)
form	string	Form type, e.g. 8-K, 10-K/A
isAmendment	boolean	Amended filing (/A)
filedDate	ISO 8601 date	Filing date (YYYY-MM-DD)
reportDate	ISO 8601 date	Period of report (YYYY-MM-DD), when given
acceptedAt	string	Acceptance date and time (company mode)
items	array	8-K item numbers, e.g. 2.02, 9.01 (company mode)
description	string	Primary document description (company mode)
sic	string	Standard Industrial Classification code (company mode)
industry	string	SIC description (company mode)
documentUrl	string	Primary document (company mode)
filingUrl	string	Filing index page on sec.gov
source	string	Always 'SEC' (data from the SEC's public APIs)
changeType	string	new, changed, unchanged since the last run with the same input
changes	object	What changed since the last run: {field: {from, to}}

How to scrape data.sec.gov

1. Open SEC Filings Scraper - Company Filings Watch in Apify Console and go to the Input tab.
2. Enter what to scrape (see the Input section below), for example the start URLs.
3. Set Max items to the number of results you need.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab, or fetch them with the API.

How much will it cost to scrape data.sec.gov?

This Actor is priced per result: $1.40 per 1,000 results, with no extra charge for platform usage. That is about $1.40 for 1,000 results: 100 results cost $0.14 and 10,000 results cost $14.00. Set a maximum cost per run and the Actor stops when it is reached.

Input

See the Input tab for full configuration options.

Field	Type	Required	Description
companies	array	no	Tickers (AAPL) or CIK numbers (320193). Leave empty to read every company's filings of the chosen form types from the daily index.
formTypes	array	no	e.g. 8-K, 10-K, 10-Q, S-1, D, 13F-HR. Empty: every form (company mode) or 8-K, 10-K, 10-Q, D (all-companies mode).
includeAmendments	boolean	no	Also return amended filings (e.g. 10-K/A).
filedAfter	string	no	YYYY-MM-DD. Default: the last 3 days.
filedBefore	string	no	YYYY-MM-DD.
onlyChanges	boolean	no	For scheduled runs: return (and pay for) only new and changed records, compared with the last run with the same input. The snapshot is kept in a named key-value store; delete it to start over.
maxItems	integer	no	Maximum number of items to return (0 = unlimited).
maxPages	integer	no	Days of the daily index to read when no companies are given (at most 31).
maxConcurrency	integer	no	Maximum parallel requests (politeness; 1-10).
requestDelayMs	integer	no	Minimum delay between requests, in milliseconds (at least 250).
proxyType	string	no	none (direct connection), datacenter (Apify Proxy, cheapest) or residential (opt-in, billed per GB, fewer blocks). The actor never switches by itself.
proxyCountry	string	no	Two-letter country code for the proxy IP (optional).

Example input:

{
  "companies": [
    "AAPL",
    "MSFT",
    "320193"
  ],
  "maxItems": 300,
  "maxConcurrency": 2,
  "requestDelayMs": 300,
  "proxyType": "none",
  "filedAfter": "2025-01-01"
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Example results from a real run:

[
  {
    "accessionNumber": "0001958244-26-000636",
    "cik": "320193",
    "company": "Apple Inc.",
    "tickers": [
      "AAPL"
    ],
    "form": "144",
    "isAmendment": false,
    "filedDate": "2026-10-02",
    "reportDate": null,
    "acceptedAt": "2026-10-02T21:17:10.000Z",
    "items": [],
    "description": null,
    "sic": "3571",
    "industry": "Electronic Computers",
    "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000195824426000636/xsl144X01/primary_doc.xml",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000195824426000636/0001958244-26-000636-index.htm",
    "source": "SEC",
    "changeType": "new",
    "changes": {}
  },
  {
    "accessionNumber": "0001959173-26-007235",
    "cik": "320193",
    "company": "Apple Inc.",
    "tickers": [
      "AAPL"
    ],
    "form": "144",
    "isAmendment": false,
    "filedDate": "2026-10-02",
    "reportDate": null,
    "acceptedAt": "2026-10-02T20:20:06.000Z",
    "items": [],
    "description": null,
    "sic": "3571",
    "industry": "Electronic Computers",
    "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000195917326007235/xsl144X01/primary_doc.xml",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000195917326007235/0001959173-26-007235-index.htm",
    "source": "SEC",
    "changeType": "new",
    "changes": {}
  },
  {
    "accessionNumber": "0001969223-26-001055",
    "cik": "320193",
    "company": "Apple Inc.",
    "tickers": [
      "AAPL"
    ],
    "form": "144",
    "isAmendment": false,
    "filedDate": "2026-10-02",
    "reportDate": null,
    "acceptedAt": "2026-10-02T20:09:51.000Z",
    "items": [],
    "description": null,
    "sic": "3571",
    "industry": "Electronic Computers",
    "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000196922326001055/xsl144X01/primary_doc.xml",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000196922326001055/0001969223-26-001055-index.htm",
    "source": "SEC",
    "changeType": "new",
    "changes": {}
  }
]

Integrations and API

• Apify API: start a run and get the results in one HTTP request:

curl -X POST "https://api.apify.com/v2/acts/compass_lab~sec-filings-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" -d '{"companies": ["AAPL", "MSFT", "320193"], "maxItems": 300, "filedAfter": "2025-01-01"}'

• Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("compass_lab/sec-filings-scraper").call(run_input={"companies": ["AAPL", "MSFT", "320193"], "maxItems": 300, "filedAfter": "2025-01-01"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('compass_lab/sec-filings-scraper').call({"companies": ["AAPL", "MSFT", "320193"], "maxItems": 300, "filedAfter": "2025-01-01"});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

• Make, Zapier, n8n, Google Sheets, webhooks: use the Apify integrations (Integrations tab) to send each run's results where you need them, or to start a run from your workflow.
• Schedules: run it hourly, daily or weekly from Apify Console (Schedules) and always have fresh results.

Tips and advanced options

• Keep Max items and Max pages as low as you need: fewer pages means a faster, cheaper run.
• Raise Delay between requests if the site responds slowly; keep Max concurrency low to stay polite.
• Missing values are null. Fields that often come back empty are listed in the run log as data-quality warnings.
• Watch for changes: every record has changeType (new, changed or unchanged compared with the last run with the same input) and changes ({"field": {"from": ..., "to": ...}}). Schedule the Actor with Only changes since the last run on to get, and pay for, only what moved. new means new to this input: not returned by an earlier run with the same filters. The last snapshot is kept in a named key-value store called <actor-name>-watch-<id> (the run log prints its name); delete it, or change the input, to start over.

FAQ, disclaimers and support

Is it legal to scrape data.sec.gov?

D91 (Mouad, 2026-10-04) confirmed the SEC filings line, covering the missing robots.txt on data.sec.gov; www.sec.gov robots.txt allows the daily index and /files/. SEC: 'EDGAR public filing content are free to access and reuse'; limit 10 requests per second (we stay far below), declared User-Agent with contact email. D93: 'EDGAR' is an SEC trademark, never in names. Insider and beneficial-ownership forms (3, 4, 5, 144, 13D, 13G) are left out of the all-companies mode: their index rows name individuals.

The data is published under the SEC public information: 'free to access and reuse' and 'may be copied or further distributed ... without the SEC's permission' (please cite the SEC as the source). Not affiliated with or approved by the SEC.: you may reuse it, including commercially, provided you credit the source as the licence requires.

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

How many results can I get?

Up to maxItems per run (0 means no limit), as many as the source lists. Each result is one dataset item, and you are only charged for items that are saved.

Can I run it on a schedule or from my own code?

Yes. Schedule it in Apify Console (Schedules), or call it with the run-sync-get-dataset-items endpoint or the Python/JavaScript clients shown in Integrations and API above.

What are the limitations?

• None identified so far.

Where can I get help?

Report problems or ideas on the Issues tab. To call this Actor from your own code, see the API tab.

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