
Youtube Search Api
Pricing
$2.00 / 1,000 results

Youtube Search Api
Search YouTube videos, channels, and playlists using the YouTube Data API. Features comprehensive filtering options, automatic authentication, and detailed results including thumbnails and metadata. Perfect for content research, marketing analysis, and finding targeted videos.
0.0 (0)
Pricing
$2.00 / 1,000 results
0
Monthly users
6
Runs succeeded
>99%
Last modified
6 days ago
You can access the Youtube Search Api programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=grow_media/youtube-search-api"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Youtube Search Api via Model Context Protocol (MCP) server
MCP server lets you use Youtube Search Api 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 Youtube Search Api 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": {},
7 "name": "grow_media/youtube-search-api"
8 }
9}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for Youtube Search Api
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",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "grow_media/youtube-search-api"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
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.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$2.00