Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025
30 minutes trial then $9.99/month - No credit card required now
Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025
30 minutes trial then $9.99/month - No credit card required now
Get 1,000 results for just $0.01! Introducing the Twitter Hashtag Fast Scraper, your go-to solution for scraping Twitter hashtags. This powerful tool combines blazing-fast speed with advanced data extraction capabilities, making it perfect for social media analysts, marketers, and researchers.
fastcrawlerActor Metrics
46 Monthly users
No reviews yet
7 bookmarks
>99% runs succeeded
4.5 hours response time
Created in Nov 2024
Modified 2 days ago
You can access the Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 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=fastcrawler/twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 via Model Context Protocol (MCP) server
MCP server lets you use Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 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 Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025 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 "hashtag": "btc",
8 "cookies": [
9 "auth_token=3b8fe4e97592a04eed6fd4b49032f3cbaa6988d9;gt=1892430785468387696;ph_phc_TXdpocbGVeZVm5VJmAsHTMrCofBQu3e0kN8HGMNGTVW_posthog=%7B%22distinct_id%22%3A%220194698a-e095-7869-940a-3a43aa499620%22%2C%22%24sesid%22%3A%5B1739538623373%2C%2201950494-eac4-7174-90ac-074bfb942d50%22%2C1739538623172%5D%7D;guest_id=v1%3A174002642638145290;twid=u%3D1479073844589895680;night_mode=2;att=1-ixFEWH3z4WMLoQNY6rNzcPtszk4Dg3CTczfoMFgG;ct0=62eacb29f0418fa8002e0aae5806e0eaf2c7d5bbd27acf4a163274ec06060ffbd6f149b96ef5db2bc7b7cbbd49285e013412e1c7329eef8b3085565bb6710b52aa092f6df7de486e5f148d011ba23103;dnt=1;guest_id_ads=v1%3A174002642638145290;guest_id_marketing=v1%3A174002642638145290;kdt=O83gjfkTl8AaNp5z3JXyUGdr1k0xFZPBwD9myC97;personalization_id=v1_SkJRGfsm95VskQ4ujBPgEQ=="
10 ],
11 "sortBy": "Latest"
12},
13 "name": "fastcrawler/twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025"
14 }
15}'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 Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer 2025
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 "fastcrawler/twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025"
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.
