scraping-twitter-profile-tweetsExtracts tweets, reply threads, and engagement metrics from a specific Twitter/X profile using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a Twitter account, scrape tweets from a specific user's profile, export tweet history from a Twitter handle, get recent tweets from a Twitter account with engagement stats, fetch tweet timeline for a specific user, or collect posts from a Twitter profile by username. Returns tweet text, likes, retweets, replies, views, bookmarks, and author info per tweet. Ideal for social media monitors, journalists, and competitive intelligence teams.
Install via ClawdBot CLI:
clawdbot install apidojo-io/scraping-twitter-profile-tweetsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.apify.com/v2/acts/apidojo~twitter-profile-scraper/runsCalls external URL not in known-safe list
https://api.apify.com/v2/acts/apidojo~twitter-profile-scraper/runsAudited Sep 9, 2026 · audit v1.0
Generated Sep 8, 2026
Track engagement metrics and content from specific Twitter profiles for brand reputation, competitor analysis, or trend spotting. Use the scraper to collect tweets with likes, retweets, and replies on a scheduled basis.
Gather tweet history from public figures or experts for investigative pieces or to quote accurately. Filter by date range and engagement to find impactful statements.
Scrape tweets from competitor accounts to analyze their content strategy, posting frequency, and audience engagement. Use the data to benchmark and inform your own strategy.
Before partnering with influencers, scrape their tweets to assess content quality, audience engagement, and authenticity. Check for fake engagement or controversial posts.
Collect tweets from targeted accounts for sentiment analysis, topic modeling, or to study public opinion. The structured data with metrics allows for robust quantitative analysis.
Incorporate scraped Twitter data into a dashboard that provides clients with insights on competitors or industry leaders. Offer subscription tiers based on data refresh frequency and account limits.
Use the scraper to collect data for client reports and strategic recommendations. Charge per engagement or project for custom analysis and monitoring.
Resell structured tweet data to third parties, such as market research firms. Provide clean, enriched datasets with engagement metrics.
💬 Integration Tip
Start with the simple run_actor.js script to get quick sample data, then integrate into your pipeline by saving output as JSON for further processing. Use the built-in parameters like maxItems to control costs and date filters to get relevant data.
Scored Sep 9, 2026
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