# Skool Member Scraper Goat (`goat255/skool-member-scraper-goat`) Actor - **URL**: https://apify.com/goat255/skool-member-scraper-goat.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Skool Member Scraper Goat — Members + Real Emails & Contact Info Extract the full member list of any **Skool.com** community you belong to, with **clean profile data and working contact details**. It delivers real emails: it reads the email on each member's Skool profile **and** optionally visits their linked website to pull emails and phone numbers. Built for lead generation that converts. > **Part of the Skool Scraper Goat suite:** > - 🏘️ [Skool Community & MRR Scraper Goat](https://apify.com/goat255/skool-scraper-goat) — discover communities with pricing and MRR. > - 📝 [Skool Posts & Comments Scraper Goat](https://apify.com/goat255/skool-post-scraper) — posts, nested comments, classroom content. > - 🧰 [Skool All-in-One Scraper Goat](https://apify.com/goat255/skool-all-in-one-scraper-goat) — communities + members + posts in one run. ### Built around real contact extraction This scraper is built to get you usable contact data: - **Profile email** — pulled directly from each member's Skool profile when present. - **Website enrichment** — when enabled, the member's linked website is fetched and real emails + phone numbers are extracted from the live page (including `mailto:` links). Included at no extra charge. - **Social handles** — YouTube, Instagram, Facebook, Twitter/X, LinkedIn. - **De-duplicated, validated** — junk matches (image filenames, tracking strings) are filtered out, and a `bestEmail` is surfaced per member. ### What data you get per member ```json { "community": "example-community", "name": "Jane Doe", "firstName": "Jane", "lastName": "Doe", "bio": "Founder at Acme Co. Helping coaches scale.", "location": "Austin, TX", "email": "jane@example.com", "website": "https://example.com", "social": { "youtube": "https://www.youtube.com/@example", "instagram": "https://www.instagram.com/example", "linkedin": "https://www.linkedin.com/in/example" }, "contacts": { "emails": ["jane@example.com", "hello@example.com"], "phones": ["+1 555-0100"], "bestEmail": "jane@example.com", "websiteStatus": "ok" } } ```` The `contacts` block appears when **Enrich Contacts From Member Websites** is enabled. ### How to use it 1. **Get your Skool cookies** (member lists are not public, so login is required): - Install the free **Cookie-Editor** browser extension. - Log in to Skool.com and open a community you belong to. - Click Cookie-Editor → **Export** → **JSON**, and paste the array into the **Skool Cookies** field. 2. Paste one or more **Community URLs** you are a member of. 3. Set **Members Per Community** and leave **Enrich Contacts From Member Websites** on for full contact data. 4. Click **Save & start**. Export to JSON, CSV, Excel, XML, or HTML. ### Top use cases - **Lead generation** — build outreach lists of community members with verified emails. - **Audience research** — analyse who is inside a niche community (bios, locations, socials). - **CRM enrichment** — append emails, phones, and social profiles to existing contacts. ### Pricing Pay-per-member. No subscription. Failed pages are retried and never billed, and **website contact enrichment is included at no surcharge**. | What you pay for | Price | |---|---| | Per member returned | $0.0025 | Apify's $5 platform free credit applies on first use. ### Known limits (so there are no surprises) - You must be a **member of the community** for its member list to load. Communities you have not joined will return nothing. - Cookies expire when you log out of Skool; if a run returns no members, re-export fresh cookies. - Not every member has a public email or website. The `contacts.websiteStatus` field tells you exactly what happened per member (`ok`, `no-website`, `http-403`, etc.) so results are transparent. ### FAQ **Is this legal to use?** The actor extracts data visible to you as a logged-in community member. You are responsible for complying with your local data-protection laws (GDPR/CAN-SPAM) and Skool's Terms of Service when using the output. **Do you store my cookies?** No. Cookies are used only for the duration of your run. **Can I scrape members of a community I haven't joined?** No. Skool only exposes member lists to members. ### Support Found a bug or want a new field? Open an issue on the actor page. Issues are answered quickly, and honest reviews are always welcome. # Actor input Schema ## `groupUrls` (type: `array`): Skool community URLs whose members you want to extract (e.g. https://www.skool.com/automate). You must already be a member of each community for its member list to be visible. ## `membersPerGroup` (type: `integer`): Maximum members to extract per community. Set high to pull the full member list. ## `includeContactsFromWebsite` (type: `boolean`): When ON, each member's linked website is fetched and real emails + phone numbers are extracted (in addition to the email on their Skool profile). This is the data most lead-gen users want. Adds time per member that has a website. When OFF, only profile-level email/socials are returned. ## `cookies` (type: `array`): Cookies exported from a logged-in Skool.com session (required — member lists are not public). Use the Cookie-Editor browser extension and paste the JSON array here. See the README for step-by-step instructions. ## `maxConcurrency` (type: `integer`): Parallel requests. Default 20 is reliable. Higher values may trigger Skool rate limits. ## `batchSize` (type: `integer`): Members processed per batch before saving to the dataset. ## `maxRetries` (type: `integer`): Retry attempts per failed page. Each retry rotates to a fresh residential proxy session. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies are required — Skool blocks datacenter IPs. ## Actor input object example ```json { "groupUrls": [ "https://www.skool.com/automate" ], "membersPerGroup": 1000, "includeContactsFromWebsite": true, "cookies": [], "maxConcurrency": 20, "batchSize": 75, "maxRetries": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "groupUrls": [ "https://www.skool.com/automate" ] }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/skool-member-scraper-goat").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 = { "groupUrls": ["https://www.skool.com/automate"] } # Run the Actor and wait for it to finish run = client.actor("goat255/skool-member-scraper-goat").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 '{ "groupUrls": [ "https://www.skool.com/automate" ] }' | apify call goat255/skool-member-scraper-goat --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/skool-member-scraper-goat", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skool Member Scraper Goat", "version": "1.0", "x-build-id": "AracGnfN9WMPyZDq2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~skool-member-scraper-goat/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-skool-member-scraper-goat", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~skool-member-scraper-goat/runs": { "post": { "operationId": "runs-sync-goat255-skool-member-scraper-goat", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~skool-member-scraper-goat/run-sync": { "post": { "operationId": "run-sync-goat255-skool-member-scraper-goat", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "groupUrls" ], "properties": { "groupUrls": { "title": "Community URLs", "uniqueItems": true, "type": "array", "description": "Skool community URLs whose members you want to extract (e.g. https://www.skool.com/automate). You must already be a member of each community for its member list to be visible.", "items": { "type": "string" } }, "membersPerGroup": { "title": "Members Per Community", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum members to extract per community. Set high to pull the full member list.", "default": 1000 }, "includeContactsFromWebsite": { "title": "Enrich Contacts From Member Websites", "type": "boolean", "description": "When ON, each member's linked website is fetched and real emails + phone numbers are extracted (in addition to the email on their Skool profile). This is the data most lead-gen users want. Adds time per member that has a website. When OFF, only profile-level email/socials are returned.", "default": true }, "cookies": { "title": "Skool Cookies", "type": "array", "description": "Cookies exported from a logged-in Skool.com session (required — member lists are not public). Use the Cookie-Editor browser extension and paste the JSON array here. See the README for step-by-step instructions.", "default": [] }, "maxConcurrency": { "title": "Max Concurrent Requests", "minimum": 5, "maximum": 30, "type": "integer", "description": "Parallel requests. Default 20 is reliable. Higher values may trigger Skool rate limits.", "default": 20 }, "batchSize": { "title": "Batch Size", "minimum": 30, "maximum": 100, "type": "integer", "description": "Members processed per batch before saving to the dataset.", "default": 75 }, "maxRetries": { "title": "Max Retries", "minimum": 1, "maximum": 10, "type": "integer", "description": "Retry attempts per failed page. Each retry rotates to a fresh residential proxy session.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies are required — Skool blocks datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```