# Executive Compensation Data Scraper (`fortuitous_pirate/exec-comp-scraper`) Actor

Executive Compensation Data Scraper. Structured data export for lead generation, enrichment, and competitive research.

- **URL**: https://apify.com/fortuitous\_pirate/exec-comp-scraper.md
- **Developed by:** [Fortuitous Pirate](https://apify.com/fortuitous_pirate) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 result items

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Executive Compensation Scraper

Scrapes executive compensation data from SEC DEF 14A proxy filings.

### What it does

1. Takes a list of stock tickers and years
2. Finds DEF 14A proxy filings on SEC EDGAR
3. Extracts the Summary Compensation Table
4. Returns structured executive compensation data

### Input

```json
{
    "tickers": ["AAPL", "MSFT", "GOOGL"],
    "years": [2023, 2024]
}
```

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| tickers | array | Yes | Stock ticker symbols |
| years | array | Yes | Fiscal years to scrape |

### Output

Each record contains:

```json
{
    "ticker": "AAPL",
    "company_name": "Apple Inc.",
    "cik": "0000320193",
    "fiscal_year": 2024,
    "filing_date": "2024-01-05",
    "executive_name": "Timothy D. Cook",
    "executive_title": "CEO",
    "salary": 3000000,
    "bonus": 0,
    "stock_awards": 40000000,
    "option_awards": 0,
    "non_equity_incentive": 6000000,
    "deferred_comp": 0,
    "other_comp": 1500000,
    "total_comp": 50500000,
    "source_url": "https://www.sec.gov/..."
}
```

### Usage

```bash
## Install dependencies
npm install

## Run locally
echo '{"tickers": ["AAPL"], "years": [2024]}' > storage/key_value_stores/default/INPUT.json
apify run

## View results
cat storage/datasets/default/*.json | jq '.'
```

### Data Source

All data comes from SEC EDGAR public filings (no proxy needed).

# Actor input Schema

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

List of stock tickers to scrape (e.g., \['AAPL', 'MSFT']). Leave empty to scrape all S\&P 500.

## `ciks` (type: `array`):

List of SEC CIK numbers to scrape. Alternative to tickers.

## `years` (type: `array`):

Fiscal years to extract (e.g., \[2023, 2024]). Defaults to last 5 years.

## `maxCompanies` (type: `integer`):

Maximum number of companies to scrape. 0 = no limit.

## `maxItems` (type: `integer`):

Alias for maxCompanies. Maximum number of companies to scrape. 0 = no limit.

## `outputFormat` (type: `string`):

Output format for results

## `proxyConfiguration` (type: `object`):

Proxy settings for requests

## Actor input object example

```json
{
  "tickers": [
    "AAPL"
  ],
  "years": [
    2023,
    2024
  ],
  "maxCompanies": 0,
  "maxItems": 0,
  "outputFormat": "both"
}
```

# 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"
    ],
    "years": [
        2023,
        2024
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fortuitous_pirate/exec-comp-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 = {
    "tickers": ["AAPL"],
    "years": [
        2023,
        2024,
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("fortuitous_pirate/exec-comp-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 '{
  "tickers": [
    "AAPL"
  ],
  "years": [
    2023,
    2024
  ]
}' |
apify call fortuitous_pirate/exec-comp-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fortuitous_pirate/exec-comp-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/BnpBUHMh091fRQ56F/builds/lzNEVPcyL4cPiZMdC/openapi.json