X Business Intelligence Pro — Twitter/X Analytics Without API Keys

Extract real-time tweets, sentiment analysis, competitive intelligence, and crisis detection from X (Twitter). Built for AI agents, marketing teams, and enterprise intelligence pipelines. No API key required.

Apify Store: https://apify.com/red.cars/x-business-intelligence-pro Pricing: $0.05–$0.15/tweet event (Pay-per-event, PPE) MCP Available: Yes — 6 tools exposed for AI agent integration

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What This Actor Does

X Business Intelligence Pro extracts tweets, engagement metrics, sentiment scores, and competitive intelligence from X (formerly Twitter). It handles authentication, rate limiting, and error recovery automatically — so you get structured JSON data without managing API keys or dealing with OAuth complexity.

Search intent keywords: "twitter scraper without API", "x.com data extraction", "sentiment analysis twitter API alternative", "twitter intelligence tool"

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Who It's For

• Marketing agencies tracking brand mentions, competitor activity, and campaign performance
• Brand managers monitoring crisis signals, customer sentiment, and industry trends
• Enterprise teams building competitive intelligence dashboards and market research reports
• AI/ML engineers feeding twitter data into sentiment models, RAG pipelines, or agentic workflows
• Researchers collecting social media data for academic studies or market analysis

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Quick Start

# Option 1: Apify Console (no code)
# Open https://apify.com/red.cars/x-business-intelligence-pro
# Click "Run" and configure input

# Option 2: API (cURL)
curl -X POST https://api.apify.com/v2/acts/red.cars~x-business-intelligence-pro/runs?token=*** \
  -H "Content-Type: application/json" \
  -d '{"input": {"searchTerms": ["Tesla", "AI"], "maxTweets": 50, "analysisMode": "sentiment"}}'

# Option 3: Node.js
const Apify = require('apify');
const actor = new Apify.Actor('red.cars/x-business-intelligence-pro');
await actor.call({ searchTerms: ['Tesla', 'AI'], maxTweets: 50, analysisMode: 'sentiment' });

# Option 4: MCP (AI agents) — RECOMMENDED
# Configure @apify/mcp-server in your AI client
# Then ask: "What's the sentiment around $TSLA on X right now?"

Smoke Test (Free, <5 seconds)

# Verify actor is available before committing to a paid run
curl -X POST https://api.apify.com/v2/acts/red.cars~x-business-intelligence-pro/runs?token=*** \
  -d '{"input": {"searchTerms": ["test"], "checkOnly": true}}'

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Features

• Real-time tweet extraction — Extract tweets by keyword, hashtag, @handle, or cashtag
• Sentiment analysis — Positive/negative/neutral classification with confidence scores
• Competitor tracking — Monitor multiple brand accounts and compare engagement
• Crisis detection — Alert on sudden negative sentiment spikes and viral negative content
• Influencer identification — Rank accounts by engagement rate and follower quality
• Trend analysis — Track hashtag volume and sentiment over time
• Multi-format export — JSON, CSV, markdown, Salesforce, HubSpot
• Residential proxy support — 70M+ IP pool for reliable extraction
• Zero-result guard — No charge for empty results under PPE billing
• Smoke test mode — Free availability check before committing to paid runs
• AI agent ready — MCP tools for direct integration with Claude, Cursor, and other agents

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MCP Tools

CRITICAL SECTION — AI agents discover and call this actor via Model Context Protocol.

Install the Apify MCP server:

$npm install -g @apify/mcp-server

Add to your MCP configuration:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["@apify/mcp-server"]
    }
  }
}

Connect to Apify MCP: https://apify.actor/mcp

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Tool: x-tweet-search

What it does: Search for tweets by keyword, hashtag, username, or cashtag. Returns tweet content, author info, engagement metrics, and sentiment scores.

Input parameters:

Parameter	Type	Required	Description
searchTerms	array	Yes	Keywords, hashtags, @handles, or $cashtags to search
maxTweets	integer	No	Maximum tweets to extract (default: 20, max: 500)
timeRange	string	No	Time period: 1h, 6h, 24h, 3d, 7d (default: 24h)

Example MCP call:

{
  "name": "x-tweet-search",
  "description": "Search X (Twitter) for tweets by keyword, hashtag, username, or cashtag. Returns tweet content, author metrics, engagement data, and sentiment classification.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "searchTerms": {
        "type": "array",
        "description": "Array of search terms (keywords, hashtags, @handles, $cashtags)"
      },
      "maxTweets": {
        "type": "integer",
        "description": "Maximum tweets to extract (1-500, default: 20)"
      },
      "timeRange": {
        "type": "string",
        "enum": ["1h", "6h", "24h", "3d", "7d"],
        "description": "Time range for search (default: 24h)"
      }
    },
    "required": ["searchTerms"]
  }
}

Cost: $0.05/tweet event (included in Apify PPE pricing)

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Tool: x-sentiment-analysis

What it does: Analyze sentiment for specific tweets or search queries. Returns classification (positive/negative/neutral) with confidence scores and key phrases.

Input parameters:

Parameter	Type	Required	Description
searchTerms	array	Yes	Search terms to analyze sentiment for
analysisMode	string	No	basic, sentiment, competitive, enterprise (default: sentiment)

Example MCP call:

{
  "name": "x-sentiment-analysis",
  "description": "Analyze X (Twitter) sentiment for keywords, brands, or topics. Returns positive/negative/neutral classification with confidence scores and key sentiment phrases.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "searchTerms": {
        "type": "array",
        "description": "Array of search terms to analyze"
      },
      "analysisMode": {
        "type": "string",
        "enum": ["basic", "sentiment", "competitive", "enterprise"],
        "description": "Depth of analysis (default: sentiment)"
      }
    },
    "required": ["searchTerms"]
  }
}

Cost: $0.08/sentiment analysis event

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Tool: x-competitor-monitoring

What it does: Monitor multiple brand accounts for activity, engagement changes, and competitive positioning. Returns comparison metrics and trend data.

Input parameters:

Parameter	Type	Required	Description
competitorBrands	array	Yes	Brand names or @handles to monitor
timeRange	string	No	Analysis period: 1h, 6h, 24h, 3d, 7d (default: 24h)

Example MCP call:

{
  "name": "x-competitor-monitoring",
  "description": "Monitor multiple brand accounts on X for activity, engagement changes, and competitive positioning. Returns ranked comparison with trend analysis.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "competitorBrands": {
        "type": "array",
        "description": "Array of brand names or @handles"
      },
      "timeRange": {
        "type": "string",
        "enum": ["1h", "6h", "24h", "3d", "7d"],
        "description": "Analysis period (default: 24h)"
      }
    },
    "required": ["competitorBrands"]
  }
}

Cost: $0.12/competitor monitoring event

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Integration with AI tools

• Claude Desktop: Add Apify MCP to claude_desktop_config.json
• Cursor IDE: Configure MCP server in settings → MCP Servers
• Windsurf: Add to MCP server list via /settings
• Custom agents: Use any MCP client library (Python, Node.js, Go)

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Pricing

This actor uses Apify's Pay-Per-Event (PPE) model — you are charged per result returned. No charge for queries that return zero results.

Event Type	Price	Description
Tweet extraction	$0.05	Per tweet extracted
Sentiment analysis	$0.08	Per analysis request
Competitor monitoring	$0.12	Per brand comparison
Crisis detection alert	$0.10	Per alert triggered
Influencer identification	$0.15	Per influencer profile
Trend analysis report	$0.10	Per trend report

Free tier: 30 minutes compute/month, 100MB storage Paid plans: Starter from $49/month for higher compute limits

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Input Parameters

Parameter	Type	Required	Default	Description
searchTerms	array	Yes	["Tesla"]	Search terms: keywords, hashtags, @handles, $cashtags
maxTweets	integer	No	20	Maximum tweets to extract (1-500)
analysisMode	enum	No	sentiment	basic, sentiment, competitive, enterprise
enableSentimentAnalysis	boolean	No	true	Calculate sentiment scores
timeRange	string	No	24h	Time period: 1h, 6h, 24h, 3d, 7d
competitorBrands	array	No	[]	Brand names for competitive analysis
businessIntelligenceFeatures	object	No	{}	Advanced analytics config
outputOptions	object	No	{}	Output format and report settings
exportFormat	string	No	json	json, csv, markdown, salesforce, hubspot
proxyType	string	No	RESIDENTIAL	DATACENTER (faster) or RESIDENTIAL (reliable)
debugMode	boolean	No	false	Minimal extraction for health checks
checkOnly	boolean	No	false	Free smoke test — no charge

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Output

Each run returns structured JSON with the following data:

Tweet Object

{
  "id": "1234567890123456789",
  "url": "https://x.com/username/status/1234567890123456789",
  "content": "Just launched our new AI product! Check it out $AAPL",
  "author": {
    "username": "techguru",
    "followers": 15000,
    "following": 500,
    "verified": false,
    "createdAt": "2020-01-15"
  },
  "engagement": {
    "likes": 342,
    "retweets": 89,
    "replies": 23,
    "bookmarks": 45
  },
  "sentiment": {
    "score": 0.72,
    "label": "positive",
    "confidence": 0.89,
    "keyPhrases": ["new AI product", "launch", "excited"]
  },
  "metadata": {
    "hashtags": ["AI", "tech"],
    "mentions": ["@apple"],
    "cashtags": ["$AAPL"],
    "language": "en",
    "postedAt": "2026-04-10T10:30:00Z"
  }
}

Analysis Summary

{
  "summary": {
    "totalTweets": 150,
    "positivePercent": 65,
    "negativePercent": 12,
    "neutralPercent": 23,
    "avgEngagement": 245,
    "topInfluencers": ["@techguru", "@ainews"],
    "trendingHashtags": ["#AI", "#Tech"],
    "crisisAlerts": []
  },
  "metadata": {
    "extractedAt": "2026-04-10T12:00:00Z",
    "timeRange": "24h",
    "confidence": 0.92
  }
}

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Authentication / Setup

No API key required. This actor uses Apify's managed proxy infrastructure for authentication.

For enhanced reliability with high-security targets:

1. Set proxyType to RESIDENTIAL in input parameters
2. Or configure residential proxies in your Apify Console settings

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Error Handling

Error Code	Cause	Fix
RATE_LIMIT_ERROR	Too many requests	Wait and retry, or use residential proxy
EXTRACTION_ERROR	Account is private or suspended	Verify account exists and is public
NETWORK_ERROR	Connectivity issue	Check internet, retry with proxy
VALIDATION_ERROR	Invalid input parameters	Review input schema, fix parameter format
PLATFORM_ERROR	X platform issue	X may be experiencing outages, try later

Zero-result handling: If no tweets match your search, no charge is incurred under PPE billing.

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Rate Limits

Rate limits depend on your Apify plan:

Plan	Compute Units	Rate Limit Behavior
Free	Limited	Standard throttling
Basic	100/month	Faster extraction
Starter	500/month	Prioritized processing
Professional	2000/month	Minimal throttling
Scale	Unlimited	Fastest extraction

Use checkOnly: true mode to verify availability before running large extractions.

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Use Cases

Use Case 1: Brand Crisis Detection

Monitor sudden negative sentiment spikes around your brand:

{
  "input": {
    "searchTerms": ["@yourbrand", "yourbrand"],
    "analysisMode": "enterprise",
    "enableSentimentAnalysis": true,
    "timeRange": "1h",
    "businessIntelligenceFeatures": {
      "enableCrisisDetection": true
    }
  }
}

Use Case 2: Competitive Intelligence Dashboard

Track competitor brand mentions and engagement:

{
  "input": {
    "searchTerms": ["@competitor1", "@competitor2", "@competitor3"],
    "analysisMode": "competitive",
    "competitorBrands": ["Competitor1", "Competitor2", "Competitor3"],
    "maxTweets": 100,
    "exportFormat": "json"
  }
}

Use Case 3: Influencer Identification for Campaigns

Find high-engagement accounts in your niche:

{
  "input": {
    "searchTerms": ["#marketing", "#growth"],
    "analysisMode": "enterprise",
    "businessIntelligenceFeatures": {
      "enableInfluencerScoring": true,
      "industryContext": "Marketing"
    },
    "maxTweets": 200
  }
}

Use Case 4: AI Agent Market Research

Feed X intelligence into RAG pipelines and agentic workflows:

// Pseudocode: AI agent market research
const sentiment = await callActor('red.cars/x-business-intelligence-pro', {
  searchTerms: ['$TSLA', 'Tesla'],
  analysisMode: 'sentiment',
  timeRange: '24h',
  maxTweets: 100
});

// Query: "What's the market sentiment around Tesla?"
// Use sentiment data for investment decision support

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Related Actors

• Instagram Scraper Pro — Social media intelligence for Instagram
• Instagram Business Intelligence Pro — Influencer credibility and brand monitoring
• Business Contact Intelligence Pro — B2B contact data enrichment
• LinkedIn Company Intelligence Pro — B2B company research and competitive analysis

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Troubleshooting

Low success rate:

• Enable RESIDENTIAL proxy for high-security targets
• Reduce maxTweets for rate-limited queries
• Use debugMode: true to test before full extraction

Empty results:

• Verify search terms are correct
• Check if accounts are suspended or private
• Try broader keywords or different time ranges

Rate limiting:

• Wait 60 seconds before retrying
• Upgrade to higher Apify plan for more compute units
• Use residential proxy to avoid IP blocks

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Changelog

Version	Date	Changes
1.0.0	2026-04-08	Initial release with MCP tools, PPE pricing
0.9.0	2026-03-15	Added sentiment analysis and competitor tracking
0.8.0	2026-02-20	Beta release with basic tweet extraction

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FAQ

Q: Do I need an X API key? A: No. This actor uses Apify's managed infrastructure for extraction — no API key or OAuth required.

Q: How does PPE billing work? A: You are charged per result returned. If a query returns zero tweets, no charge is incurred.

Q: What's the difference between DATACENTER and RESIDENTIAL proxy? A: DATACENTER is faster but may be blocked by X for high-volume queries. RESIDENTIAL is more reliable for production use.

Q: Can I run this on a schedule? A: Yes. Use Apify Scheduler to run this actor on cron schedules for continuous monitoring.

Q: How accurate is sentiment analysis? A: Confidence scores typically range 85-95% for English tweets. Accuracy may vary for slang, sarcasm, or non-English content.

Q: Can I export directly to CRM? A: Yes. Set exportFormat to salesforce or hubspot for direct CRM import.

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Support

• Documentation: This README and Apify Console input schema
• Issues: Report via Apify Console or contact red.cars support
• Enterprise: Contact for custom integration and volume pricing

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Legal / Terms

Data Source: X (Twitter / x.com) — publicly available data

Terms of Service: This actor is provided for legitimate data collection purposes only. Users must comply with X's Terms of Service and applicable laws. Do not use extracted data for spam, harassment, or unauthorized commercial purposes.

Privacy: All extracted data is processed in accordance with applicable privacy laws. Do not use this tool for unauthorized data collection or privacy-violating activities.

Attribution: When using X data, comply with X's attribution requirements and data policies.

Disclaimer: Red.cars is not responsible for decisions made based on extracted data. Data reflects X's state at time of extraction — verify critical information directly on x.com.

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red.cars Intelligence Fleet — apify.com/red.cars