# TheOrg Decision Makers & Company Contacts Scraper (`scrapers_lat/theorg-decision-makers-scraper`) Actor
Scrape a company's key people and decision makers from its org chart: person name, job title, department, company, profile link and photo. Perfect for B2B lead generation and sales prospecting. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/theorg-decision-makers-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Business, Automation
- **Stats:** 1 total users, 0 monthly users, 88.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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/platform/actors/running/actors-in-store#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
## TheOrg Decision Makers & Company Contacts Scraper
> Pull a company's key people and decision makers straight from its org chart: names, job titles, departments, who they report to, team size, profile links and photos. Every lead also carries a full company profile: website, primary domain, LinkedIn, Twitter and Facebook, industries, employee range, headquarters city/state/country and company description. Ideal for B2B lead generation, sales prospecting and account mapping.
**📥 [Input](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples)**
Decision makers titles, reporting line & team size
Company profile website, domain, socials, HQ
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Sales prospecting | Reps building lists of decision makers at target accounts |
| Lead generation | Growth teams mapping who to contact at a company |
| Recruiting | Sourcers finding people by role and seniority |
| Account mapping | Account managers charting the buying committee |
### How to use it
1. Enter a **company slug** from the company's profile URL (for example `stripe`), or a **company name** to build the slug automatically.
2. Set **Max people** to cap how many people to collect.
3. Run it. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Where do I find the company slug?**
Open the company's public profile and copy the handle from the end of the URL, for example `stripe` in `theorg.com/org/stripe`.
**Which people are included?**
The company's publicly listed team members and leadership, each with their name and role.
**Can I use a company name instead of a slug?**
Yes. Provide the company name and the actor builds the slug for you. If it does not resolve, use the exact slug from the profile URL.
**How fresh is the data?**
People and titles are read live at run time, so each record reflects the profile at the moment of the run (see observedAt).
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Decision makers and org chart at Stripe](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-stripe-decision-makers): Get Stripe decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Notion](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-notion-decision-makers): Get Notion decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Figma](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-figma-decision-makers): Get Figma decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Airbnb](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-airbnb-decision-makers): Get Airbnb decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at OpenAI](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-openai-decision-makers): Get OpenAI decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Databricks](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-databricks-decision-makers): Get Databricks decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Canva](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-canva-decision-makers): Get Canva decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Ramp](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-ramp-decision-makers): Get Ramp decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Vercel](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-vercel-decision-makers): Get Vercel decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
- [Decision makers and org chart at Snowflake](https://apify.com/scrapers_lat/theorg-decision-makers-scraper/examples/theorg-snowflake-decision-makers): Get Snowflake decision makers and executives from TheOrg with names, job titles, departments, and reporting structure.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
- [GitHub Contributor Contacts Scraper](https://apify.com/scrapers_lat/github-contributor-contacts-scraper)
- [Clutch Agencies Scraper](https://apify.com/scrapers_lat/clutch-agencies-scraper)
- [DesignRush Agencies Scraper](https://apify.com/scrapers_lat/designrush-agencies-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with TheOrg. It only accesses publicly available company data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxPeople` (type: `integer`):
Maximum number of people to collect from the company org chart.
## `companySlug` (type: `string`):
The company handle from its profile URL, e.g. theorg.com/org/stripe -> 'stripe'.
## `searchQuery` (type: `string`):
Optional. A company name used to build the slug when no companySlug is given (for example 'Stripe').
## Actor input object example
```json
{
"maxPeople": 10,
"companySlug": "stripe"
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxPeople": 10,
"companySlug": "stripe"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/theorg-decision-makers-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxPeople": 10,
"companySlug": "stripe",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/theorg-decision-makers-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxPeople": 10,
"companySlug": "stripe"
}' |
apify call scrapers_lat/theorg-decision-makers-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/theorg-decision-makers-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/ckKF3FgxMW9vRFDhG/builds/VKXhuudwtpTPyYm8h/openapi.json