Social Media Sentiment Analysis Tool
Pricing
$1.50 / 1,000 comments
Social Media Sentiment Analysis Tool
Add a profile name and find this social profile on Facebook, Instagram, and TikTok, scrape its recent posts and comments, and perform sentiment analysis for each comment. All in one go. Export results in JSON, CSV, HTML, use API, schedule runs, integrate with other tools.
4.2 (7)
Pricing
$1.50 / 1,000 comments
41
Total users
759
Monthly users
121
Runs succeeded
68%
Issue response
12 days
Last modified
15 days ago
You can access the Social Media Sentiment Analysis Tool 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=tri_angle/social-media-sentiment-analysis-tool"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🤔 Social Media Sentiment Analysis Tool via Model Context Protocol (MCP) server
MCP server lets you use 🤔 Social Media Sentiment Analysis Tool 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 🤔 Social Media Sentiment Analysis Tool Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {},$ "name": "tri_angle/social-media-sentiment-analysis-tool"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for 🤔 Social Media Sentiment Analysis Tool
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:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "tri_angle/social-media-sentiment-analysis-tool" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}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.
