# Actor input Schema
## `startUrls` (type: `array`):
Enter Skool.com URLs or search keywords to scrape. Keywords will be automatically converted to discovery URLs (e.g., 'Shopify course' becomes 'https://www.skool.com/discovery?q=Shopify%20course').
## `monitoringMode` (type: `boolean`):
If checked, it will only scrape newly items compared to what has been scraped in previous runs. Only works for discovery routes.
## `memberStartDate` (type: `string`):
Format should be YYYY-MM-DD, e.g., 2022-02-20
## `includeAdminUsers` (type: `boolean`):
Set to true if you want to include admin users in the scraping.
## `includeProfileDetails` (type: `boolean`):
Set to true if you want to include profile details of each member in the scraping.
## `includeContactsFromWebsite` (type: `boolean`):
Set to true if you want to include contacts from website (if website is present on the user account) like emails, phones, LinkedIns, Twitters, Instagrams, Facebooks, YouTubes, TikToks, Pinterests, Discords in the scraping.
## `maxItems` (type: `integer`):
Maximum number of members (or discovery items) to collect. Pagination depth per URL/search query is capped from this value so you do not need a separate page limit.
## `maxConcurrency` (type: `integer`):
Maximum number of pages that can be processed at the same time.
## `minConcurrency` (type: `integer`):
Minimum number of pages that will be processed at the same time.
## `maxRequestRetries` (type: `integer`):
Number of times the crawler will retry a failed request before giving up.
## `alphabetSearchRefinement` (type: `boolean`):
If a one-letter member search returns a full first page (≥10 users), also search that letter plus each suffix a–z and 0–9 (36 extra queries per saturated letter). Improves coverage when Skool truncates single-letter results; increases HTTP usage.
## `cookies` (type: `array`):
Cookie used to authorize actor with skool.com. Install EditThisCookie chrome extension. Login to your skool.com account. Click on the extension and export the skool.com cookies. Insert the contents here
## `proxy` (type: `object`):
Specifies proxy servers that will be used by the scraper in order to hide its origin.
For details, see Proxy configuration in README.
## Actor input object example
```json
{
"startUrls": [
"https://www.skool.com/ai-automation-mastery/-/members",
"https://www.skool.com/discovery?q=tiktok%20trending"
],
"monitoringMode": false,
"includeAdminUsers": false,
"includeProfileDetails": false,
"includeContactsFromWebsite": false,
"maxItems": 100000,
"maxConcurrency": 100,
"minConcurrency": 1,
"maxRequestRetries": 30,
"alphabetSearchRefinement": true,
"cookies": [],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# Actor output Schema
## `overview` (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": [
"https://www.skool.com/ai-automation-mastery/-/members",
"https://www.skool.com/discovery?q=tiktok%20trending"
],
"cookies": [],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("memo23/skool-members-scraper-rent").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": [
"https://www.skool.com/ai-automation-mastery/-/members",
"https://www.skool.com/discovery?q=tiktok%20trending",
],
"cookies": [],
"proxy": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("memo23/skool-members-scraper-rent").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
"https://www.skool.com/ai-automation-mastery/-/members",
"https://www.skool.com/discovery?q=tiktok%20trending"
],
"cookies": [],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call memo23/skool-members-scraper-rent --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,memo23/skool-members-scraper-rent"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/fQuUYLIpVzY2cD6C7/builds/AJMYl920Tw2XDPBp0/openapi.json