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    "readmeSummary": "## Tweet Scraper\n\nTweet Scraper is a Twitter/X scraping Actor that performs large-scale extraction using Twitter advanced search queries and an interactive Query Wizard to build complex searches. It executes batched searches and parallel search modes (Latest, Top, combined) to retrieve high-volume tweet datasets (including 100k+ results per query when available). The Actor captures raw tweet records as served by Twitter/X, providing tweet text and timestamps, engagement metrics, tweet type indicators (reply/retweet/quote), author profile metadata, media links and embedded article content, language and geolocation data, and other metadata useful for analytics, monitoring, and research. Technical capabilities include advanced search-syntax support, query-building UI, date-range and filter-based targeting, multi-language support, geo-targeting, media detection, detailed user information extraction, and resilient scraping mechanisms with retries and fallback strategies.\n\n## Use cases\n\n- Scrape all tweets from a specific profile or set of profiles across time ranges.  \n- Perform keyword or hashtag searches across Twitter/X for topical monitoring and trend analysis.  \n- Extract tweets within specific date ranges for time-series studies or historical research.  \n- Retrieve tweets that contain media (images, videos) for visual content analysis.  \n- Filter searches to focus on tweets from verified or specific user types for credibility or influencer analysis.  \n- Find mentions of a user or tweets that reply to or reference a target account for engagement mapping.  \n- Perform geo-targeted searches to collect location-specific tweets.  \n- Build complex Boolean and advanced-search queries via the Query Wizard for precise filtering.  \n- Assemble large datasets for data analysts, researchers, and projects requiring high-volume tweet collection and rich tweet/user metadata.",
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