# TheOrg Org Chart People Scraper (`jungle_synthesizer/theorg-org-chart-people-scraper`) Actor Scrapes public org charts from TheOrg (theorg.com) — people, titles, reporting lines, departments, and company metadata. No login required. Data served as SSR JSON in **NEXT\_DATA**. - **URL**: https://apify.com/jungle\_synthesizer/theorg-org-chart-people-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business - **Stats:** 4 total users, 2 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. 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 Org Chart People Scraper Scrape public org chart data from [TheOrg](https://theorg.com). Returns people, titles, reporting relationships, departments, and company metadata — no login or cookies required. TheOrg publishes its entire org chart database as server-rendered HTML, so every record here is genuinely public. --- ### TheOrg Org Chart People Scraper Features - Extracts org chart nodes with parent-child reporting edges — the `reports_to` field tells you who each person reports to. - Returns team/department membership per person from the company's team structure. - Collects company metadata alongside each person: industry, HQ location, website, slug. - Derives seniority level (C-suite, VP, Director, Manager, Senior IC, IC) from job title automatically. - Accepts a list of company URLs directly or discovers companies via TheOrg's sitemap (200k+ org profiles). - Respects `maxItems` so you can run small targeted pulls without crawling the full index. --- ### Who Uses This Data? - **SDRs and BDRs** — build buying committees by mapping titles and reporting lines at target accounts before cold outreach. - **Recruiters** — identify hiring manager and team structure before reaching out to candidates. - **Market researchers** — analyze org structure patterns across industries or geographies. - **Sales engineers** — understand decision-maker hierarchy at prospect accounts before demos. - **GTM analysts** — enrich CRM accounts with org chart data from a public, cookieless source. --- ### How TheOrg Org Chart People Scraper Works 1. Accepts a list of company URLs (`startUrls`) or crawls TheOrg's compressed sitemap index to discover company pages. 2. Fetches each company's org page and extracts the `__NEXT_DATA__` SSR JSON payload — no JS rendering needed. 3. Parses `initialNodes` (org chart with parentId edges) and `initialTeams` (department membership) from the page data. 4. Emits one record per unique person, with company metadata attached to each row. --- ### Input ```json { "startUrls": [ { "url": "https://theorg.com/org/stripe" }, { "url": "https://theorg.com/org/notion" } ], "maxItems": 100 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `startUrls` | array | `[{"url": "https://theorg.com/org/happilo"}]` | List of TheOrg company page URLs to scrape. Leave empty to use sitemap discovery. | | `maxItems` | integer | `10` | Maximum number of person records to collect. Set to `0` for unlimited (sitemap mode). | **Sitemap mode:** leave `startUrls` empty and the actor walks TheOrg's sitemap index (`cdn.theorg.com/sitemap.xml`) and walks the 400+ compressed company sitemaps to collect company URLs. Use `maxItems` to cap output. *** ### TheOrg Org Chart People Scraper Output Fields ```json { "org_name": "Stripe", "org_slug": "stripe", "org_website": "https://stripe.com", "org_industry": "Financial Services, Software", "org_hq_location": "San Francisco, California, United States", "person_name": "Patrick Collison", "person_title": "CEO", "person_role_level": "C-suite", "person_profile_url": "https://theorg.com/org/stripe/people/patrick-collison", "person_linkedin_url": "", "reports_to": "", "department": "" } ``` | Field | Type | Description | |-------|------|-------------| | `org_name` | string | Company name | | `org_slug` | string | Company slug from the URL | | `org_website` | string | Company website URL | | `org_industry` | string | Industry tag(s) from TheOrg | | `org_hq_location` | string | City, region, country from company profile | | `person_name` | string | Full name | | `person_title` | string | Job title | | `person_role_level` | string | Seniority: C-suite, VP, Director, Manager, Senior IC, or IC | | `person_profile_url` | string | Direct link to the person's TheOrg profile | | `person_linkedin_url` | string | LinkedIn URL when present in page data | | `reports_to` | string | Manager's name (from org chart parent edge) | | `department` | string | Team or department name | *** ### FAQ #### Does TheOrg require a login to view org charts? No. TheOrg publishes org charts publicly — no account, no cookies. The data is server-rendered and available to any HTTP client with a valid browser user-agent. #### How fresh is the data? TheOrg data reflects whatever is on their site at crawl time. Org charts are user-contributed and vary in freshness by company. High-profile companies tend to be updated more frequently. #### What is the `reports_to` field? It contains the name of the person's direct manager, derived from the org chart's parent-child node structure. The field is empty for top-level executives (no parent node) or for people sourced from team pages where the org chart edge isn't available. #### How does sitemap mode work? When `startUrls` is empty, the actor fetches TheOrg's sitemap index and walks 400+ compressed company sitemaps to collect URLs, then crawls each org page. This mode can return data for 200k+ organizations — use `maxItems` to cap it. #### What does `person_role_level` derive from? The title string. Matches common patterns: "CEO", "Chief", "President" → C-suite; "VP", "Vice President" → VP; "Director" → Director; "Manager" → Manager; "Senior", "Lead", "Principal", "Staff", "Head of" → Senior IC; everything else → IC. *** ### Need More Features? Open an issue or contact support if you need additional fields, pagination controls, or a team-filtered mode. ### Why Use TheOrg Org Chart People Scraper? - **Cookieless source** — TheOrg requires no authentication, unlike LinkedIn scrapers which all require active session cookies and fight aggressive anti-bot. You get the same org-chart buyer-intent data without the credential management problem. - **Reporting edges included** — the `reports_to` field surfaces manager-report relationships that LinkedIn does not expose. Buying committee mapping gets considerably more useful when you know the chain of command. - **Affordable at scale** — PPE pricing means you pay per record, not per run. Grabbing 500 decision-makers from 10 target accounts costs less than a cup of coffee. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startUrls` (type: `array`): List of TheOrg company page URLs to scrape (e.g. https://theorg.com/org/airbnb). Leave empty to use the sitemap discovery mode. ## `maxItems` (type: `integer`): Maximum number of person records to collect (0 = unlimited) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://theorg.com/org/happilo" } ], "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://theorg.com/org/happilo" } ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/theorg-org-chart-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [{ "url": "https://theorg.com/org/happilo" }], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/theorg-org-chart-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://theorg.com/org/happilo" } ], "maxItems": 10 }' | apify call jungle_synthesizer/theorg-org-chart-people-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/theorg-org-chart-people-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TheOrg Org Chart People Scraper", "description": "Scrapes public org charts from TheOrg (theorg.com) — people, titles, reporting lines, departments, and company metadata. No login required. Data served as SSR JSON in __NEXT_DATA__.", "version": "0.1", "x-build-id": "qGFZ1nw8NGVYk0W0H" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~theorg-org-chart-people-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-theorg-org-chart-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/jungle_synthesizer~theorg-org-chart-people-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-theorg-org-chart-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/jungle_synthesizer~theorg-org-chart-people-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-theorg-org-chart-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "List of TheOrg company page URLs to scrape (e.g. https://theorg.com/org/airbnb). Leave empty to use the sitemap discovery mode.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of person records to collect (0 = unlimited)" } } }, "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 } } } } } } } } } } ```