๐ฏ Youtube Playlist Scraper (Pay Per Result)
Pay $0.50 for 1,000 videos
๐ฏ Youtube Playlist Scraper (Pay Per Result)
Pay $0.50 for 1,000 videos
The ultimate solution for detailed YouTube playlist information. Enjoy unmatched speed and thoroughness in both search and direct video retrieval from playlists. Additionally, it's remarkably cost-effective at just $0.50 per 1000 videos!
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Created in Dec 2023
Modified 21 hours ago
You can access the ๐ฏ Youtube Playlist Scraper (Pay Per Result) programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing ๐ฏ Youtube Playlist Scraper (Pay Per Result) via Model Context Protocol (MCP) server
MCP server lets you use ๐ฏ Youtube Playlist Scraper (Pay Per Result) within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the ๐ฏ Youtube Playlist Scraper (Pay Per Result) Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": { # Actor inputs
7 ...
8 },
9 "name": "10GVbdIrueLyN5eZY"
10 }
11}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}Configure local MCP Server via standard input/output for ๐ฏ Youtube Playlist Scraper (Pay Per Result)
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "10GVbdIrueLyN5eZY"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
