# SEC Edgar Filings Scraper: Insider Buys, Sells & 10b5-1 (`h1018y/anvil-sec-edgar-all`) Actor

Scrapes SEC Edgar filings for Form 4 insider trades by ticker. Every row has insider, role, shares, price, dollar value, a 10b5-1 plan flag and the share of holdings traded, so you can filter real open-market buys fast.

- **URL**: https://apify.com/h1018y/anvil-sec-edgar-all.md
- **Developed by:** [ANVIL Tools](https://apify.com/h1018y) (community)
- **Categories:** Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.57 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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

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

#### Output example (a real run)

```json
[
  {
    "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](https://www.sec.gov/edgar)

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# Actor input Schema

## `tickers` (type: `array`):

Stock tickers, e.g. AAPL, TSLA. Unknown tickers are skipped with a log line.

## `daysBack` (type: `integer`):

Only filings from the last N days.

## `transactionTypes` (type: `string`):

All lines, open-market buys and sells only, only buys, or only sells.

## `minValueUsd` (type: `number`):

Skip trades worth less than this. 0 = no filter.

## `maxResults` (type: `integer`):

Stop after this many transaction rows.

## Actor input object example

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

# Actor output Schema

## `results` (type: `string`):

All result rows (open as table, JSON, CSV or Excel).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "tickers": [
        "AAPL"
    ],
    "daysBack": 60,
    "transactionTypes": "all",
    "maxResults": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("h1018y/anvil-sec-edgar-all").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "tickers": ["AAPL"],
    "daysBack": 60,
    "transactionTypes": "all",
    "maxResults": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("h1018y/anvil-sec-edgar-all").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "tickers": [
    "AAPL"
  ],
  "daysBack": 60,
  "transactionTypes": "all",
  "maxResults": 3
}' |
apify call h1018y/anvil-sec-edgar-all --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,h1018y/anvil-sec-edgar-all"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/W2uYb5AN59YYAVhxp/builds/vdxUO8NYDa0fKxcGt/openapi.json