The Org Company Profiles & People Scraper

Extract public company profiles, org-chart people, teams, titles, profile URLs, and firmographic context from The Org company pages.

Use this scraper when you need a clean dataset of executives, employees, departments, reporting hints, company websites, social links, locations, employee ranges, and industry tags from public The Org profiles.

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What does The Org Company Profiles & People Scraper do?

The Org Company Profiles & People Scraper turns public The Org company pages into structured records.

It reads company pages like:

• https://theorg.com/org/stripe
• https://theorg.com/org/openai
• https://theorg.com/org/anthropic

For each page, it extracts public company context and people/org-chart data that is embedded in the page HTML.

The actor is HTTP-first and does not require a login.

Who is it for?

Sales and revenue teams

Use the dataset to identify executives, department leaders, and potential buying committees.

Recruiters and talent teams

Map public teams, titles, and departments before sourcing or account planning.

Market researchers

Collect firmographic context and org structure signals across comparable companies.

Competitive intelligence teams

Monitor public leadership and team composition across companies that publish org charts on The Org.

Data enrichment teams

Join The Org profile URLs, company websites, LinkedIn pages, and public titles into CRM or warehouse workflows.

Why use this actor?

• ✅ Extracts people and company profile context in one table
• ✅ Uses public The Org pages only
• ✅ No browser automation required for current pages
• ✅ Includes firmographic fields for filtering and segmentation
• ✅ Handles multiple company URLs in one run
• ✅ Skips missing or invalid pages without stopping the whole run
• ✅ Outputs spreadsheet-friendly rows

What data can you extract?

Field	Description
companyName	Company name on The Org
companyUrl	Public The Org company page
description	Company description
websiteUrl	Company website
linkedInUrl	Company LinkedIn URL
twitterUrl	Company Twitter/X URL
facebookUrl	Company Facebook URL
location	Public company location
employeeRange	Employee range when available
industries	Industry tags
personName	Public person name
title	Public role/title
department	Team, office, or department context
profileUrl	The Org person profile URL when available
imageUrl	Public profile image URL when available
managerPersonId	Reporting/manager person id when available
sourceUrl	Input page URL
scrapedAt	ISO timestamp for the scrape

How much does it cost to scrape The Org company profiles?

This actor uses pay-per-event pricing.

• A small start fee is charged once per run.
• A per-record event is charged for each person/company row saved.
• Larger Apify subscription tiers receive lower per-record pricing.

Use a low maxItems value for your first test run, review the output, then increase the limit for larger prospecting or research jobs.

Input options

The Org company URLs

Add one or more public company pages:

[
  { "url": "https://theorg.com/org/stripe" },
  { "url": "https://theorg.com/org/openai" }
]

Maximum people records

maxItems controls the maximum number of rows saved across all input URLs.

Delay between company pages

requestDelayMs adds a polite delay between page requests. The default is conservative for normal use.

Example input

{
  "startUrls": [
    { "url": "https://theorg.com/org/stripe" },
    { "url": "https://theorg.com/org/openai" },
    { "url": "https://theorg.com/org/anthropic" }
  ],
  "maxItems": 100,
  "requestDelayMs": 500
}

Example output

{
  "companyName": "Stripe",
  "companySlug": "stripe",
  "companyUrl": "https://theorg.com/org/stripe",
  "websiteUrl": "https://stripe.com",
  "linkedInUrl": "https://www.linkedin.com/company/stripe",
  "location": "San Francisco, CA, United States",
  "employeeRange": "5000-10000",
  "industries": ["Finance", "FinTech", "Technology"],
  "personName": "Patrick Collison",
  "title": "Co-Founder & CEO",
  "department": null,
  "profileUrl": "https://theorg.com/org/stripe/org-chart/patrick-collison",
  "sourceUrl": "https://theorg.com/org/stripe",
  "scrapedAt": "2026-07-07T00:00:00.000Z"
}

How to scrape The Org profiles

1. Open the actor on Apify.
2. Paste public The Org company URLs into startUrls.
3. Set maxItems to the number of records you need.
4. Run the actor.
5. Export results as JSON, CSV, Excel, XML, or via the Apify API.

Tips for best results

• Start with 1-3 company URLs and maxItems around 100.
• Use public /org/<slug> pages, not logged-in or private URLs.
• Increase requestDelayMs for large batches.
• Review sourceUrl and profileUrl columns before importing into a CRM.
• Deduplicate by companySlug + personId if you combine multiple runs.

Common workflows

Build account maps

Scrape target accounts from The Org and group people by company, department, and title.

Find leadership contacts

Filter rows where title contains CEO, CTO, CFO, VP, Head, Director, or Founder.

Enrich company lists

Add company website, LinkedIn, location, employee range, industry tags, and public org chart counts.

Track org changes

Run the same list periodically and compare titles, team counts, and public person IDs over time.

Integrations

CRM enrichment

Export CSV or connect the dataset API to HubSpot, Salesforce, Airtable, or Clay.

Recruiting workflows

Use department and title columns to build sourcing lists by function.

Data warehouses

Pull dataset items into BigQuery, Snowflake, Postgres, or DuckDB for downstream analysis.

Automation platforms

Trigger the actor from Make, Zapier, n8n, or a scheduled Apify task.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/the-org-company-profiles-people-scraper').call({
  startUrls: [{ url: 'https://theorg.com/org/stripe' }],
  maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API usage with Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/the-org-company-profiles-people-scraper').call(run_input={
    'startUrls': [{'url': 'https://theorg.com/org/stripe'}],
    'maxItems': 100,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~the-org-company-profiles-people-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://theorg.com/org/stripe"}],"maxItems":100}'

MCP usage

Use this actor from AI tools through the Apify MCP server.

MCP URL:

https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper

Claude Code MCP setup

$claude mcp add apify-the-org https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper

Claude Desktop MCP JSON config

{
  "mcpServers": {
    "apify-the-org": {
      "url": "https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper"
    }
  }
}

Claude Desktop prompt

Use the Apify MCP tool automation-lab/the-org-company-profiles-people-scraper to extract public executives and departments from https://theorg.com/org/stripe and summarize likely buying committee roles.

Claude Code prompt

Run the MCP tool automation-lab/the-org-company-profiles-people-scraper for these The Org URLs and save the dataset as a CSV for CRM import.

More MCP prompt ideas

Use the The Org scraper MCP tool to compare public leadership roles across Stripe, OpenAI, and Anthropic.

Use the Apify MCP server to scrape The Org company profiles and return only VP, Head, Founder, CEO, CFO, and CTO titles.

Data quality notes

The actor extracts data that The Org exposes publicly in the page. Some records may have a name but no title, a title but no department, or a team context but no reporting line. This reflects public source availability.

Limitations

• The actor does not log in.
• The actor does not scrape private The Org data.
• The actor does not infer emails or phone numbers.
• The actor does not guarantee that every person at a company appears on the public page.
• The Org can change its page structure, which may require actor updates.

FAQ

Can this scraper find emails or phone numbers?

No. It extracts public The Org profile and company fields only. It does not infer or enrich private contact details.

Does this scraper require a The Org account?

No. It works with public company pages that expose data in the page HTML.

Troubleshooting

Why did one URL produce no data?

The URL may be private, removed, misspelled, or not a company page. Use public URLs that look like https://theorg.com/org/<company-slug>.

Why are some titles or departments empty?

The Org does not always publish every field for every person. Empty optional fields mean the source did not provide that value in the public page data.

Why are there fewer records than the company position count?

The company position count is a high-level public metric. The page may only embed a subset of people, teams, or visible org-chart nodes.

Legality and ethical use

This actor extracts publicly available information from The Org pages. You are responsible for using the output in accordance with applicable laws, The Org's terms, Apify's terms, and privacy obligations. Do not use scraped data for spam, harassment, discrimination, or unlawful profiling.

Related scrapers

Explore other Automation Lab actors:

• LinkedIn company and profile tools
• Company profile scrapers
• Lead generation scrapers
• B2B data enrichment actors

Changelog

0.1

Initial version for public The Org company profile and people extraction.

Support

If a public The Org page no longer extracts correctly, open an issue on the actor page and include the input URL and run ID.

Summary

The Org Company Profiles & People Scraper helps sales, recruiting, research, and competitive-intelligence teams turn public The Org company pages into actionable structured datasets.