browser-act/x-tweet-search
Scrapes tweets from X (Twitter) by search query, user handle, or direct URL — returns full tweet data including text, author info, engagement metrics, media, and hashtags. Use when user mentions X, Twitter, tweet scraping, scrape tweets, get tweets, fetch tweets, twitter data, x.com data, tweet collector, tweet search, twitter search, social media scraping, twitter handle scraping, scrape user tweets, from:username, twitter keyword search, hashtag search, twitter timeline, twitter list scraping, collect twitter posts, export tweets, tweet analysis, twitter monitoring, search twitter, get twitter data, twitter api alternative, tweet dump.
npx skills add https://github.com/browser-act/skills --skill x-tweet-search
> Search query / handle / URL → structured tweet list (text, author, metrics, media, entities)
All process output to user (progress updates, process notifications) follows the user's language.
Collect tweets matching a search query, from specific user profiles, or from direct URLs, extracting complete structured data for each tweet.
https://x.com/search?q=... or https://x.com/{handle} or a direct tweet/list URLIf browser-act has been confirmed available in the current session → skip this step.
Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
If login status for X has been confirmed in the current session → skip this step.
Otherwise: open https://x.com and observe the left sidebar:
User refuses or cannot log in → terminate execution.
> This Skill's operational boundary = what the user can manually do in their browser. It reads tweet data already rendered in the X DOM, never bypassing authentication. JS is encapsulated in scripts/ files, invoked via eval "$(python scripts/xxx.py)". Use the bash tool for execution.
Extracts all currently visible tweets from the page via React internal state (React Fiber). Works on search pages, profile pages, list pages, and any X page rendering tweet articles.
Wait for tweets to appear before extracting:
wait --selector "article[data-testid='tweet']" --state attached --timeout 15000
Extract: eval "$(python scripts/extract-tweets.py)"
Returns a JSON array. Each element:
[
{
"id": "2059255862548738182", // tweet ID
"url": "https://x.com/NASA/status/2059255862548738182", // direct link
"text": "Full tweet text including hashtags and URLs", // full_text field
"created_at": "2026-05-26T12:50:31.000Z", // ISO 8601
"lang": "en", // ISO 639-1 language code, null if unknown
"author_id": "11348282", // author user ID
"author_name": "NASA", // display name
"author_screen_name": "NASA", // @handle (without @)
"author_profile_image": "https://pbs.twimg.com/profile_images/.../photo.jpg",
"author_followers": 92080161, // follower count
"author_following": 305, // following count
"author_verified": false, // legacy blue checkmark
"author_blue_verified": true, // X Blue / Gold / Gray checkmark
"author_location": "Washington, D.C.", // profile location, null if not set
"author_description": "Explore the universe...", // bio, null if empty
"like_count": 82579,
"retweet_count": 11952,
"reply_count": 4230,
"quote_count": 1850,
"bookmark_count": 12400,
"view_count": 25923006, // null if not available
"is_retweet": false,
"is_quote": false,
"is_reply": false,
"in_reply_to_tweet_id": null, // parent tweet ID if is_reply=true
"in_reply_to_user": null, // @handle of replied-to user
"conversation_id": "2059255862548738182",
"hashtags": ["AI", "Space"], // without #
"urls": ["https://example.com/article"], // expanded URLs from entities
"mentions": ["SpaceX", "ESA"], // @handles without @
"media": [
{
"type": "video", // "photo", "video", "animated_gif"
"url": "https://pbs.twimg.com/amplify_video_thumb/.../img/thumb.jpg",
"alt_text": null,
"video_variants": [
{"bitrate": 2176000, "url": "https://video.twimg.com/.../1280x720/video.mp4"},
{"bitrate": 832000, "url": "https://video.twimg.com/.../640x360/video.mp4"}
]
}
],
"source_name": "Twitter for iPhone", // client used to post
"source_url": "http://twitter.com/download/iphone"
}
]
searchTerms (keyword / advanced query):
https://x.com/search?q={url_encoded_query}&src=typed_query&f=livehttps://x.com/search?q={url_encoded_query}&src=typed_querytwitterHandles (scrape a user's profile tweets):
https://x.com/{handle} — shows all tweets/retweetsfrom:{handle} as the search query — more filter-compatiblestartUrls (direct URLs): navigate to the URL as-is. Supported types:
https://x.com/{user}/status/{id} — single tweet conversationhttps://x.com/{handle} — profile timelinehttps://x.com/search?q=... — use directlyhttps://x.com/i/lists/{list_id} — list timelineAppend these operators to the base query string (space-separated):
| Parameter | Query operator | Example |
|-----------|---------------|---------|
| tweetLanguage | lang:{code} | lang:en |
| onlyVerifiedUsers | filter:verified | |
| onlyTwitterBlue | filter:blue_verified | |
| onlyImage | filter:images | |
| onlyVideo | filter:videos | |
| onlyQuote | filter:quote | |
| author | from:{handle} | from:NASA |
| inReplyTo | to:{handle} | to:NASA |
| mentioning | @{handle} | @NASA |
| minimumRetweets | min_retweets:{n} | min_retweets:100 |
| minimumFavorites | min_faves:{n} | min_faves:500 |
| minimumReplies | min_replies:{n} | min_replies:10 |
| start | since:{YYYY-MM-DD} | since:2024-01-01 |
| end | until:{YYYY-MM-DD} | until:2024-06-01 |
| geotaggedNear + withinRadius | near:"{location}" within:{radius} | near:"New York" within:15mi |
| geocode | geocode:{lat},{lon},{radius} | geocode:40.7,-74.0,10km |
| -filter:retweets | exclude retweets | |
Example: Scrape English tweets from NASA since 2024 with ≥100 likes, excluding retweets:
query = "from:NASA lang:en since:2024-01-01 min_faves:100 -filter:retweets"
url = "https://x.com/search?q=" + encodeURIComponent(query) + "&src=typed_query&f=live"
DOM Pagination (scroll to load more):
X dynamically appends new tweet articles to the DOM as the user scrolls. Tweets already rendered remain in the DOM (no virtualization for typical result sets < ~500 tweets).
Loop pattern:
len(results)scroll down --amount 2000wait stablecollected >= max_items (if limit specified)Deduplication: track seen IDs in a Python set, filter before appending to output.
result count >= 1 and id field non-null rate = 100% and text field non-null rate = 100%
__reactFiber prefix includes a session-specific hash (e.g., __reactFiber$ozawbbp0gp). The script uses startsWith('__reactFiber') which is stable across deployments; only fails if React is replaced with a different framework.view_count is null for older tweets, low-engagement tweets, or when X doesn't expose it. This is a data availability issue, not an extraction failure.filter:blue_verified: Whether X's search engine respects this operator may vary; verify results if blue-verified filtering is critical.customMapFunction: Not applicable — this is a source-platform-specific JS transform parameter, not a data filter relevant to browser extraction.Path: {working-directory}/browser-act-skill-forge-memories/x-tweet-scraper-x-tweet-search.memory.md
Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.
After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line:
{YYYY-MM-DD}: {what happened} → {conclusion}
Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.
Take browser-act/x-tweet-search from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.