SEC Edgar Filings Scraper: Insider Buys, Sells & 10b5-1

SEC Edgar Filings Scraper - Get every insider trade from SEC Form 4 filings, one clean row each, with the real buys separated from tax and plan sales.

What does SEC Edgar Filings Scraper do?

Each row says if the trade was a pre-planned 10b5-1 sale and what percent of the insider's holdings it was, and you can keep only open-market buys or sells above a dollar value.

• One row per transaction: insider, role, code, shares, price, total USD value
• 10b5-1 plan flag read from the filing itself
• Percent of the insider's holdings traded
• Filter open-market buys or sells and a minimum dollar value
• Direct link to the SEC filing for each row

Who uses SEC Edgar Filings Scraper, and for what

• Traders - spot cluster buys by officers without the tax-withholding noise
• Analysts - export a ticker's insider selling to CSV every week
• Journalists - find large insider sales not made under a 10b5-1 plan
• Quant researchers - build an insider-activity dataset from primary filings

Why this SEC Edgar Filings Scraper?

Tools that dump every Form 4 line without a plan flag or value filter bury the useful buys among tax withholding and scheduled sales. This SEC Edgar Filings Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

Data you get from SEC Edgar Filings Scraper

Every result is one flat row with these fields (values from a real run):

Field	Example
ticker	AAPL
company	Apple Inc.
insider	Newstead Jennifer
role	SVP, GC and Government Affairs
isDirector	false
isOfficer	true
isTenPercentOwner	false
transactionDate	2026-10-20
filingDate	2026-10-22
code	S
codeMeaning	Open-market sale
direction	sell
shares	2399
pricePerShare	339.62
totalValueUsd	814748.38
sharesOwnedAfter	34795
percentOfHoldingsTraded	6.45
rule10b51Plan	true
ownership	D
securityTitle	Common Stock
accession	0001140361-26-040540
filingUrl	https://www.sec.gov/Archives/edgar/data/320193/0001140361260...

How to use SEC Edgar Filings Scraper

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule to get fresh rows every day.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "tickers": [
    "AAPL"
  ],
  "daysBack": 60,
  "transactionTypes": "all",
  "minValueUsd": 0,
  "maxResults": 3
}

Output example (a real run)

[
  {
    "ticker": "AAPL",
    "company": "Apple Inc.",
    "insider": "Newstead Jennifer",
    "role": "SVP, GC and Government Affairs",
    "isDirector": false,
    "isOfficer": true,
    "isTenPercentOwner": false,
    "transactionDate": "2026-10-20",
    "filingDate": "2026-10-22",
    "code": "S",
    "codeMeaning": "Open-market sale",
    "direction": "sell",
    "shares": 2399,
    "pricePerShare": 339.62,
    "totalValueUsd": 814748.38,
    "sharesOwnedAfter": 34795,
    "percentOfHoldingsTraded": 6.45,
    "rule10b51Plan": true,
    "ownership": "D",
    "securityTitle": "Common Stock",
    "accession": "0001140361-26-040540",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000114036126040540/form4.xml"
  },
  {
    "ticker": "AAPL",
    "company": "Apple Inc.",
    "insider": "Borders Ben",
    "role": "Principal Accounting Officer",
    "isDirector": false,
    "isOfficer": true,
    "isTenPercentOwner": false,
    "transactionDate": "2026-10-15",
    "filingDate": "2026-10-19",
    "code": "M",
    "codeMeaning": "Option exercise",
    "direction": "buy",
    "shares": 1714,
    "pricePerShare": null,
    "totalValueUsd": null,
    "sharesOwnedAfter": 40451,
    "percentOfHoldingsTraded": 4.42,
    "rule10b51Plan": true,
    "ownership": "D",
    "securityTitle": "Common Stock",
    "accession": "0001140361-26-040127",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000114036126040127/form4.xml"
  }
]

One flat row per result.

How much does SEC Edgar Filings Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

You want	What you pay for
A quick test with the example	a few results
A daily scheduled run	only the rows that run returns
A big one-off export	the results delivered - set a maximum in the input

Also searched as

• sec form 4 scraper
• insider trading tracker
• edgar insider trades
• form 4 to csv
• 10b5-1 plan trades

FAQ

Does SEC Edgar Filings Scraper need a login, cookies or an API key? No. It reads public pages only.

Can I run SEC Edgar Filings Scraper on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Do I need proxies? No setup needed - SEC Edgar Filings Scraper uses Apify Proxy by default where the site needs it.

Troubleshooting

• No results: check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
• Fewer results than expected: raise the maximum in the input; some sites show only a part of their data without logging in, and SEC Edgar Filings Scraper never logs in.
• The run stopped with a message: the message says what the site answered; run it again later or with fewer items.

Your feedback

Missing a field, found a bug, or need another site? Open an issue on the Issues tab - issues are answered and fixed. If SEC Edgar Filings Scraper saved you time, a short review on this page helps others find it.

Data source: www.sec.gov/edgar

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