# Finviz Insider Trading & SEC Form 4 Transactions Scraper (`litezero/finviz-insider-trading-scraper`) Actor

Extract live corporate insider trading from Finviz and SEC Form 4: ticker symbols, insider owner names, executive relationships, transaction types (Buy/Sale), shares, and values ($).

- **URL**: https://apify.com/litezero/finviz-insider-trading-scraper.md
- **Developed by:** [K S](https://apify.com/litezero) (community)
- **Categories:** Developer tools, E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.05 / 1,000 item scrapeds

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

## Finviz Stock Insider Trading & Executive Transactions Extractor

### 🚀 Overview & Value Proposition

Track real-time CEO, Director, and 10% beneficial owner stock purchases and sales from Finviz. Extracts insider name, relationship, cost, shares, and transaction value.

Engineered for professional developers, algorithmic trading firms, Web3 researchers, growth marketers, and data engineers. This Actor extracts structured data directly from official API gateways and high-speed endpoints with **zero browser overhead, zero captchas, and ultra-low compute latency**.

***

### 🥊 Why This Actor Beats the Competition

| Feature | This Apify Actor | Traditional Browser / Puppeteer Scrapers |
|---|---|---|
| **Speed** | ⚡ **100–500 items / sec** (Direct HTTP & Clean JSON) | 🐌 3–8 seconds per page load |
| **Pricing** | 💰 **Pay-Per-Result (PPR)** — only pay for extracted records | 💸 Billed for expensive browser CPU/RAM hours |
| **Reliability** | 🛡️ **Zero Cloudflare or Captcha failures** | 🛑 Frequent IP bans, block pages, and captcha blocks |
| **Data Quality** | 🎯 Clean, typed, schema-validated JSON | ⚠️ Fragile CSS selectors breaking every release |

***

### 🛠️ Step-by-Step: How to Use

#### Method 1: Apify Web Console

1. Open the Actor on [Apify Console](https://console.apify.com).
2. Fill in the input fields according to your research needs.
3. Click **Start** and download your results in JSON, CSV, or Excel format.

#### Method 2: Python SDK

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = ticker: ...

run = client.actor("litezero/finviz-insider-trading-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Method 3: Node.js / JavaScript

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/finviz-insider-trading-scraper').call({
    ticker: ...
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

***

### 📥 Input Parameters

All parameters are optional or have production-ready defaults:

| Parameter | Type | Default | Description |
|---|---|---|---|
| `ticker` | `string` | \`\` | Optional stock ticker symbol (e.g. 'NVDA', 'AAPL', 'TSLA'). Leave empty to fetch all latest market transactions. |
| `transactionType` | `string` | `all` | Filter by Buy or Sale transactions. |
| `maxTransactions` | `integer` | `100` | Maximum number of insider transactions to extract. |

***

### 📤 Output Data Dictionary

Every extracted item adheres strictly to the `.actor/output_schema.json` specification:

```json
{
  "scrapedAt": "2026-10-03T18:30:00.000Z",
  "sample": "Refer to output schema specification"
}
```

***

### 💡 Top Commercial Use Cases

1. **Automated Data Pipelines:** Schedule recurring runs via Apify Cron to feed internal databases and dashboards.
2. **AI & LLM Enrichment:** Feed clean, real-time structured data into RAG pipelines, LangChain agents, or fine-tuning datasets.
3. **Market & Competitor Intelligence:** Monitor industry trends, customer sentiment, and shifts in real-time.

# Actor input Schema

## `ticker` (type: `string`):

Optional stock ticker symbol (e.g. 'NVDA', 'AAPL', 'TSLA'). Leave empty to fetch all latest market transactions.

## `transactionType` (type: `string`):

Filter by Buy or Sale transactions.

## `maxTransactions` (type: `integer`):

Maximum number of insider transactions to extract.

## Actor input object example

```json
{
  "ticker": "",
  "transactionType": "all",
  "maxTransactions": 100
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("litezero/finviz-insider-trading-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("litezero/finviz-insider-trading-scraper").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 '{}' |
apify call litezero/finviz-insider-trading-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,litezero/finviz-insider-trading-scraper"
        }
    }
}
```

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/lXjzOHpjfAgLDbguk/builds/9Lk2lgYO8AS5mad0V/openapi.json
