SEC EDGAR Scraper - Filings, Financials, Insider Trades, 13F

SEC EDGAR Scraper by ScraperCompany turns EDGAR into clean JSON. Get a company's profile and recent filings (10-K, 10-Q, 8-K, S-1 and more, with document links), its financial statements (revenue, gross and operating profit, net income, EPS, operating cash flow, capex and balance-sheet values by fiscal period), insider trades from Form 4 (who, title, buy or sell, shares, price, value), an investment manager's 13F holdings with changes since the previous quarter, Form D private placements (who raised how much, from how many investors), full-text search across filings, and the earnings calendar for any day. Pricing is pay-per-event: from $0.003 per lookup to $0.006 per insider-trade, 13F or Form D request; empty answers and failed requests are free.

Nothing to set up: no code, no login and no keys. Start a run, then export JSON, CSV or Excel, or pull the results through the Apify API. You pay only for results; failed and empty requests are free.

What can this SEC EDGAR scraper do?

• Filings and profiles: CIK, tickers, SIC, address and recent filings with items and links.
• Financial statements from XBRL: revenue, profit, EPS, cash flow and capex by fiscal period.
• Insider trades (Form 4) with buy and sale summaries; filter by transaction code.
• 13F holdings with value, weight and quarter-on-quarter share changes, plus positions sold out.
• Form D private placements, full-text search and the earnings calendar.

Modes

Mode	What it returns	Price per request
filings	A company's profile (CIK, tickers, SIC, address) and recent filings with form, dates, items and document links	$0.003
financials	Revenue, cost of revenue, gross and operating profit, net income, EPS, cash flow, capex and balance-sheet values by fiscal period	$0.004
insider_trades	Insider buys, sales, grants and exercises with insider, title, shares, price, value and holdings after	$0.006
holdings	An investment manager's 13F positions with value, shares, weight and quarter-on-quarter changes	$0.006
private_placements	Form D raises: issuer, industry, amount offered and sold, investors, minimum investment and related persons	$0.006
search	EDGAR full-text search: filings mentioning a phrase, with company, form, dates and document links	$0.004
companies	CIK numbers and tickers for a company, fund or person name	$0.003
earnings_calendar	Every company reporting earnings on a day: symbol, time, EPS forecast, last year's EPS and market cap	$0.004

What makes it different?

	SEC EDGAR Scraper	Many alternatives
Setup	Nothing to configure: no login, no keys	Often your own accounts, cookies or network setup
You pay for	Successful results; failed and empty requests are free	Often run time, or every attempt
When a site pushes back	Retried and handled for you	Often an empty or failed run

Who uses SEC EDGAR data?

• Investors and analysts: Pull financials, insider buying and fund holdings for a watchlist without parsing XBRL or Form 4 XML.
• Sales and dealflow teams: Find companies that just raised money (Form D) or filed an 8-K about a topic.
• Research and compliance: Full-text search every filing for a phrase and track filings by form type.

What SEC EDGAR data can you extract?

Field	Description
company.cik / name / tickers / sic_description	Company profile
filings[].form / filing_date / report_date / items / document_url	Filings
metrics.<concept>.values[] (financials)	Value, fiscal year and period, form and filing date
transactions[].insider / insider_title / code_meaning / shares / price / value	Insider trades
holdings[].issuer / value_usd / shares / weight_pct / change / shares_change	13F positions
placements[].issuer / total_offering_amount / total_amount_sold / investors	Form D raises
hits[] (search) / companies[] (earnings, companies)	Search hits, earnings dates and company matches

Every dataset item also carries input (the options used for that request), request_id (quote it to support), billed and scraped_at.

How to scrape SEC EDGAR data

1. Open SEC EDGAR Scraper in Apify Console and go to the Input tab.
2. Pick what to get, then enter one item per line: tickers or CIKs for filings, financials, insider trades and 13F holdings; keywords for private placements, full-text search and company lookup; days (2026-11-04) for the earnings calendar. Filters and mode options are optional.
3. Adjust the options if needed.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input

Input	Name	What it does
mode	What to get	The SEC EDGAR data to fetch. Each line of Items is one request.
items	Items	One per line. Filings, financials, insider trades: a ticker or CIK (AAPL, 0000320193).
forms	Form types	.g. 10-K, 10-Q, 8-K, S-1 (filings and full-text search).
since	Since	Earliest date, YYYY-MM-DD (filings, insider trades, private placements, search).
until	Until	Latest date, YYYY-MM-DD (filings, private placements, search).
limit	Results per request	Most results per request. Each mode has its own maximum (filings 200, financials 40 periods, insider trades 40 filings, holdings 1,000, private placements 50, companies 25, earnings 1,000); a larger value is lowered to it.
financials_period	Financial periods	Annual (10-K), quarterly (10-Q) or all periods (financials).
concepts	Extra XBRL concepts	.g. us-gaap:Goodwill (financials).
codes	Transaction codes	.g. P (open-market buy), S (sale), A (grant), M (option exercise) (insider trades).
holdings_period	13F quarter	.g. 2026-06-30). Leave empty for the latest filing (13F holdings).
compare	Compare with previous quarter	Add each position's change and the positions sold out since the previous 13F (13F holdings).
industry	Industry	.g. Other Technology, Biotechnology (private placements).
include_amendments	Include amendments	Also return amended Form D filings (D/A) (private placements).
page	Search page	Results page of full-text search (100 hits per page).

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "filings",
  "items": [
    "AAPL"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain all the fields):

{
  "mode": "filings",
  "input": {
    "company": "AAPL",
    "forms": [
      "10-K",
      "10-Q",
      "8-K"
    ],
    "limit": 3
  },
  "company": {
    "business_address": {
      "city": "CUPERTINO",
      "state": "CA",
      "street": "ONE APPLE PARK WAY",
      "zip": "95014"
    },
    "category": "Large accelerated filer",
    "cik": "0000320193",
    "ein": "942404110",
    "entity_type": "operating",
    "exchanges": [
      "Nasdaq"
    ],
    "fiscal_year_end": "0926",
    "former_names": [
      "APPLE INC"
    ],
    "name": "Apple Inc.",
    "phone": "(408) 996-1010",
    "sic": "3571",
    "sic_description": "Electronic Computers",
    "state_of_incorporation": "CA",
    "tickers": [
      "AAPL"
    ]
  },
  "filings": [
    {
      "accepted_at": "2026-09-01T20:30:35.000Z",
      "accession_number": "0001140361-26-035325",
      "description": "8-K/A",
      "document_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036126035325/ef20081427_8ka.htm",
      "filing_date": "2026-09-01",
      "filing_index_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036126035325/0001140361-26-035325-index.htm",
      "form": "8-K/A",
      "is_xbrl": true,
      "items": [
        "5.02"
      ],
      "report_date": "2026-04-17",
      "size_bytes": 241262
    },
    {
      "accepted_at": "2026-07-31T10:01:02.000Z",
      "accession_number": "0000320193-26-000020",
      "description": "10-Q",
      "document_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm",
      "filing_date": "2026-07-31",
      "filing_index_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/0000320193-26-000020-index.htm",
      "form": "10-Q",
      "is_xbrl": true,
      "report_date": "2026-06-27",
      "size_bytes": 5946811
    }
  ],
  "meta": {
    "requests": 2,
    "source": "sec_edgar"
  },
  "older_filings_not_listed": true,
  "total": 18,
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape SEC EDGAR data?

This Actor uses pay-per-event pricing: you pay for successful requests, not for compute time.

Event	Charged when	Price	Per 1,000
sec-lookup	One company search, or one company's profile and recent filings. No match is free.	$0.003	$3.00
sec-financials	One company's revenue, profit, cash flow and balance-sheet figures from its XBRL filings.	$0.004	$4.00
sec-search	One page of EDGAR full-text search hits. No hits is free.	$0.004	$4.00
sec-insider-trades	One company's insider buys and sales (Form 4), read from its recent filings.	$0.006	$6.00
sec-holdings	One investment manager's 13F portfolio for a quarter, optionally compared with the quarter before.	$0.006	$6.00
sec-private-placements	Form D private raises matching a keyword, industry or date range.	$0.006	$6.00
earnings-calendar	Every company reporting earnings on one day, with EPS forecast and market cap.	$0.004	$4.00

Paid Apify plans pay less: sec-lookup up to 15% off, sec-financials up to 15% off, sec-search up to 15% off, earnings-calendar up to 15% off (Bronze 5%, more on higher plans). The Pricing tab shows the price on your plan.

What a real run costs:

• 100 requests: $0.30
• 1,000 requests: $3.00
• 10,000 requests: $30.00

Apify's $5 of free monthly usage covers about 1,666 sec-lookup events.

• Failed requests (errors, invalid input, a site refusing after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

Run it on a schedule

Use Apify Schedules to repeat a run hourly, daily or weekly and compare results over time, and webhooks or the Integrations tab to push new results to Make, Zapier, n8n, Google Sheets, Slack or your own warehouse.

Use it with AI agents

Results are structured JSON, so they are easy to feed to a model. AI agents such as Claude can run this Actor and read its results through the Apify MCP server.

FAQ

Do I need an account on the site, or an API key?

No. The Actor is ready to run as is, and you only pay the per-event prices above.

Where does the data come from?

From the SEC's public EDGAR system (filings, XBRL financial data, Form 4, 13F and Form D) and a public earnings calendar.

How fresh is it?

Each request reads EDGAR live, so a filing shows up as soon as the SEC publishes it.

Can I look up a company by name?

Yes: the Find companies mode returns CIK numbers and tickers for a name, which the other modes accept.

Why does the 13F mode want a manager, not a stock?

13F filings list what an investment manager holds. Enter the manager (Berkshire Hathaway BRK-B, or a fund's CIK), not the stocks it owns.

Is it legal to scrape SEC EDGAR data?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Temporary errors are retried automatically. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: it says what was wrong with the input, for example a malformed date or an unknown id. Fix it and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/sec-edgar-scraper').call({
    "mode": "filings",
    "items": [
        "AAPL"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/sec-edgar-scraper").call(run_input={
    "mode": "filings",
    "items": ["AAPL"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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• Careers Page Jobs Scraper: who a company is hiring

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.