仮想通貨取引とプロジェクトのためのTwitterインテリジェンス

Yes, you can export complete follower lists from any public crypto influencer account on Twitter. Our follower export tool downloads usernames, display names, follower counts, bio information, and profile data in CSV or Excel format.

This is valuable for competitive analysis, finding engaged community members to target, or identifying what types of users follow successful crypto accounts. All data is collected through official Twitter APIs in compliance with their terms of service using publicly available information only.

私たちの advanced bot detection tool analyzes multiple factors including account creation patterns, tweet frequency, engagement ratios, follower/following ratios, profile completeness, username patterns, and behavioral indicators typical of automated accounts.

Bot detection is especially critical in crypto where bot farms artificially inflate follower counts and engagement to make projects or influencers appear more legitimate. Red flags include repetitive posting patterns, generic profile photos, incomplete bios, sudden follower spikes, and identical or templated comments. Our tool provides a quality score showing the percentage of real vs fake followers, helping you avoid wasting budget on fake crypto influencers.

Yes, our Twitter Spacesエクスポートツール allows you to download the complete list of participants from any crypto Twitter Space, including speakers, hosts, and listeners. The data includes usernames, display names, follower counts, bio information, and profile details.

Twitter Spaces participants are highly engaged users actively interested in crypto topics, making them perfect targets for airdrops, community building, or marketing campaigns. Many successful crypto projects use Spaces data to identify and engage with their most active community members. This is far more effective than targeting random followers because Spaces attendees have demonstrated genuine interest by spending time listening to crypto discussions.

Yes, collecting publicly available Twitter data is generally legal. A landmark court ruling (hiQ Labs vs. LinkedIn, 2022) reaffirmed that scraping publicly accessible data does not violate the Computer Fraud and Abuse Act (CFAA) in the United States. However, you must comply with Twitter's Terms of Service and applicable data protection regulations like GDPR.

Our service uses official Twitter APIs and follows all rate limits and usage guidelines. We only collect publicly available information that any Twitter user can see - no private data, DMs, or protected accounts are accessed. You can use this data for legitimate business purposes including market research, competitive analysis, and marketing campaigns. Always respect user privacy and follow applicable data protection regulations in your jurisdiction when using the exported data.

You can track crypto whale accounts by creating watch lists of influential accounts and major crypto figures. Use our tweet download tool to export their historical tweets and analyze sentiment, trading signals, and market opinions. Combine this with follower tracking to monitor who they follow and who follows them.

Whale tweets often precede market movements. Platforms like Whale Alert monitor large cryptocurrency transactions and provide real-time alerts on Twitter. By tracking whale Twitter activity alongside their follower/following changes, you can identify early signals of interest in particular projects. Export historical tweet data to analyze patterns and correlations with price movements for better trading insights and market intelligence.

Pump and dump schemes show distinct patterns on Twitter: sudden influxes of tweets from new or bot accounts, identical or very similar promotional messages, fake influencer endorsements, unrealistic price predictions, coordinated timing of posts, and artificial engagement spikes. Use our bot detector to check if accounts promoting a token are genuine.

トークンに関するツイートをダウンロード tweet export tool to analyze sentiment patterns, posting timing, and coordination. Check if "influencers" promoting it have real followers by downloading and analyzing their follower lists. Legitimate crypto projects have organic, diverse community discussions with varied opinions, while scams show artificial, coordinated promotion patterns with templated messages and bot armies. Red flags include accounts created recently all posting similar content within short time windows.

Twitter sentiment analysis for crypto involves collecting and analyzing tweets to gauge market mood and predict potential price movements. Research has shown strong correlations between Twitter sentiment and cryptocurrency price fluctuations. Use our tweet download tool to export tweets by keyword, hashtag, or account for analysis.

Monitor tweet volume spikes before major price movements, track sentiment changes over time, analyze influential accounts and whale activity, and identify trending narratives. Combine Twitter sentiment data with other market indicators for comprehensive analysis. Export historical data to backtest sentiment-based trading strategies. Social listening platforms can help track crypto sentiment in real-time, but downloading raw Twitter data gives you complete control over your analysis methodology and allows custom sentiment scoring algorithms.

Yes, before paying crypto influencers (KOLs) for promotions, you should verify their authenticity. Use our bot detector to check their follower quality score, then download their followers to analyze engagement rates, follower growth patterns, and the ratio of real vs fake accounts.

Red flags include sudden follower spikes without corresponding engagement increases, high follower counts with low interaction rates, large numbers of bot followers with generic usernames and profile photos, identical or templated comments, and followers from unrelated niches. Our tools help you identify these patterns through detailed follower analysis so you only work with legitimate crypto influencers who can actually drive real community engagement and conversions, avoiding wasted marketing budgets on fake KOLs.

The airdrop farming problem is massive - most airdrop participants are bots or mercenary farmers who dump tokens immediately. To find genuine users, use our Twitter Spacesエクスポートツール to download participants from relevant crypto discussions, download followers from engaged community accounts, and run bot detection on all lists.

Focus on accounts with real engagement history, complete profiles, older account age (6+ months), diverse tweet content beyond just airdrop farming, genuine interactions and conversations, and followers from relevant crypto niches. Layer multiple data sources - combine Spaces participants with engaged followers and tweet analysis to build high-quality airdrop lists. This multi-factor approach filters out bot farms and mercenary farmers, ensuring your airdrop reaches users who will actually become long-term community members rather than immediate dumpers.

Our pricing is transparent and competitive. You can download followers, export tweets, get Spaces data, and use our bot detector with pay-per-use pricing. Costs vary based on data volume and features needed.

For competitive analysis, you can download your competitors' followers to understand their audience demographics, analyze their tweets to see what content performs best, track their follower growth over time, monitor engagement rates, and identify which influencers interact with them. This intelligence helps you improve your strategy, find gaps in their approach, and target their engaged followers. Our tools provide complete data ownership with CSV/Excel exports, allowing unlimited analysis without recurring subscription fees for the same data.