# 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:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.40 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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, profile links and photos. Ideal for B2B lead generation, sales prospecting and account mapping.
Decision makers names & job titles
Org chart role by role
JSON / CSV / Excel output formats
### What you get
Each record is one person at the company, ready for your CRM or a prospecting list:
- **personName**: the person's full name
- **jobTitle**: their role or title (for example "Co-Founder & CEO", "VP of Sales")
- **department**: their team, when listed
- **company** and **companySlug**: the organisation they belong to
- **theorgProfileUrl**: a direct link to their profile
- **linkedinUrl**: their LinkedIn, when public
- **photoUrl**: their profile photo
- **observedAt**: when the record was collected
### 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).
### 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
## `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').
## `maxItems` (type: `integer`):
Maximum number of people to collect from the company org chart.
## `proxyConfiguration` (type: `object`):
Optional proxy. Use if you hit rate limits or geo blocks.
## Actor input object example
```json
{
"companySlug": "stripe",
"maxItems": 50
}
````
# 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 = {
"companySlug": "stripe",
"maxItems": 50
};
// 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 = {
"companySlug": "stripe",
"maxItems": 50,
}
# 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 '{
"companySlug": "stripe",
"maxItems": 50
}' |
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
```json
{
"openapi": "3.0.1",
"info": {
"title": "TheOrg Decision Makers & Company Contacts Scraper",
"description": "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.",
"version": "0.1",
"x-build-id": "nWcOggXoYepGRQh9k"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~theorg-decision-makers-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-theorg-decision-makers-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~theorg-decision-makers-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-theorg-decision-makers-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~theorg-decision-makers-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-theorg-decision-makers-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"companySlug": {
"title": "Company slug",
"type": "string",
"description": "The company handle from its profile URL, e.g. theorg.com/org/stripe -> 'stripe'."
},
"searchQuery": {
"title": "Company name (fallback)",
"type": "string",
"description": "Optional. A company name used to build the slug when no companySlug is given (for example 'Stripe')."
},
"maxItems": {
"title": "Max people",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of people to collect from the company org chart."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional proxy. Use if you hit rate limits or geo blocks."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```