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It supports full advanced-search query syntax and direct tweet/profile/article/list URLs to retrieve tweets, conversation threads, single tweets/articles, profile timelines, and list contents at scale (individual queries can return very large result sets). The Actor applies multiple scraping mechanisms with automatic retries and fallback strategies, offers search-mode options (including running Latest and Top searches), and exposes a rich, structured output containing tweet text, engagement metrics, timestamps, language, author/profile metadata, media attachments and URLs, article content blocks and media, geolocation/place data, conversation/reply/retweet/quote context, and other raw Twitter-provided fields for downstream analysis.\n\n## Use cases\n\n- Scrape all tweets from a profile or partition profile scraping into date ranges for high-volume accounts. \n- Fetch single tweets or articles by URL for archival or analysis. \n- Extract conversation threads and replies to a specific tweet for sentiment or network analysis. \n- Run keyword or Boolean searches across Twitter/X using advanced search query syntax. \n- Filter searches by language, timeframe/date ranges, geo-targeting or radius-based location conditions. \n- Restrict results to tweets containing media (images, videos) or links. \n- Apply engagement thresholds to find tweets with minimum likes/retweets/replies. \n- Target tweets from verified or subscription-status users and other user-level filters. \n- Exclude retweets or refine results with complex query conditions and operators. \n- Scrape tweets from Twitter/X Lists and aggregate list-based content. \n- Large-scale data collection for data analysts, researchers, developers, and other teams needing raw, structured Twitter/X data for analytics, monitoring, or research.", "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDmC+pB6W5T28nlWoBGNIKEWqaXbx5budBiMvKjs/fZrwQX2ExJ7/+hfvlZvIa5/N13TK70TwGKoHgWuv75Ux9WoNDufOQgAaAPE2XUknZWSQZQBkVV8j6+RnICw7TG8xPiBNFaMW7xOrwYp0M2s/Ud/hBD38eCuc2Y/mwcq3p7bAHEJQyalBhZ2PqF+UihxGk5+JTtSqTBBD1zE5KRgxqmLrmG/+VHhcZ2MUdUjuWQdVLssHq5vf5aIgB1ABoFoN6+EkUOmZPOrO9VJzQivi5G14iEfLAk8F4yVgcrKJYr628g9MTLe4woZs5VNQu8sf6fF1FsFCd7qkULbHqMGaiL \n" } }