# The Org Company Profiles & People Scraper (`automation-lab/the-org-company-profiles-people-scraper`) Actor Extract The Org company profiles, org charts, leaders, teams, titles, departments, profile URLs, and firmographic context for prospecting. - **URL**: https://apify.com/automation-lab/the-org-company-profiles-people-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## The Org Company Profiles & People Scraper Extract public company profiles, org-chart people, teams, titles, profile URLs, and firmographic context from [The Org](https://theorg.com/) 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. --- ### 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: ```json [ { "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 ```json { "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 ```json { "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/` 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 ```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 ```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 ```bash 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: ```text https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper ``` #### Claude Code MCP setup ```bash claude mcp add apify-the-org https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper ``` #### Claude Desktop MCP JSON config ```json { "mcpServers": { "apify-the-org": { "url": "https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper" } } } ``` #### Claude Desktop prompt ```text 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 ```text 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 ```text Use the The Org scraper MCP tool to compare public leadership roles across Stripe, OpenAI, and Anthropic. ``` ```text 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/`. #### 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](https://apify.com/automation-lab/) - [Company profile scrapers](https://apify.com/automation-lab/) - [Lead generation scrapers](https://apify.com/automation-lab/) - [B2B data enrichment actors](https://apify.com/automation-lab/) ### 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. # Actor input Schema ## `startUrls` (type: `array`): Public The Org organization pages to scrape. Use URLs like https://theorg.com/org/stripe or https://theorg.com/org/openai. ## `maxItems` (type: `integer`): Maximum company/person records to save across all input URLs. Keep the first run small, then increase for larger prospect lists. ## `requestDelayMs` (type: `integer`): Polite delay between The Org page requests. Increase if you scrape many company URLs. ## Actor input object example ```json { "startUrls": [ { "url": "https://theorg.com/org/stripe" }, { "url": "https://theorg.com/org/openai" }, { "url": "https://theorg.com/org/anthropic" } ], "maxItems": 20, "requestDelayMs": 500 } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `companyProfiles` (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 = { "startUrls": [ { "url": "https://theorg.com/org/stripe" }, { "url": "https://theorg.com/org/openai" }, { "url": "https://theorg.com/org/anthropic" } ], "maxItems": 20, "requestDelayMs": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/the-org-company-profiles-people-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 = { "startUrls": [ { "url": "https://theorg.com/org/stripe" }, { "url": "https://theorg.com/org/openai" }, { "url": "https://theorg.com/org/anthropic" }, ], "maxItems": 20, "requestDelayMs": 500, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/the-org-company-profiles-people-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 '{ "startUrls": [ { "url": "https://theorg.com/org/stripe" }, { "url": "https://theorg.com/org/openai" }, { "url": "https://theorg.com/org/anthropic" } ], "maxItems": 20, "requestDelayMs": 500 }' | apify call automation-lab/the-org-company-profiles-people-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/the-org-company-profiles-people-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "The Org Company Profiles & People Scraper", "description": "Extract The Org company profiles, org charts, leaders, teams, titles, departments, profile URLs, and firmographic context for prospecting.", "version": "0.1", "x-build-id": "TkO9NAhiUx6iTOEhj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~the-org-company-profiles-people-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-the-org-company-profiles-people-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~the-org-company-profiles-people-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-the-org-company-profiles-people-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~the-org-company-profiles-people-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-the-org-company-profiles-people-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "The Org company URLs", "type": "array", "description": "Public The Org organization pages to scrape. Use URLs like https://theorg.com/org/stripe or https://theorg.com/org/openai.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum people records", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum company/person records to save across all input URLs. Keep the first run small, then increase for larger prospect lists.", "default": 20 }, "requestDelayMs": { "title": "Delay between company pages (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Polite delay between The Org page requests. Increase if you scrape many company URLs.", "default": 500 } } }, "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 } } } } } } } } } } ```