Twitter / X Pro Scraper

Full-featured Twitter / X scraper. Four modes, one Actor, clean structured JSON. No login, no cookies, no broken-token surprises.

Built for serious workloads — market sentiment research, KOL discovery, AI training pipelines harvesting English-language UGC, brand-watch dashboards, lead-generation lists, real-time event monitoring.

What does this Actor do?

Pick a mode, give it inputs, get a dataset:

• Keyword search — search Twitter / X by keyword or full advanced query (AI lang:en min_faves:100). Five timeline types: Top, Latest, People, Media, Lists.
• Tweet detail by ID / URL — paste a tweet ID or twitter.com/user/status/<id> URL; get text, author, likes, retweets, replies, views, bookmarks, media URLs, language, publish time, and (optional) top replies.
• User profile + recent posts — fetch a handle's profile (followers, bio, verified status, account age, location) and their recent tweets with pagination.
• Trending topics — global trending list ordered by volume.

Each tweet returns a flat, schema-validated JSON row that's downloadable as JSON, CSV, Excel, HTML, or XML — and queryable via the Apify REST API for pipeline integration.

Why use Twitter / X Pro Scraper?

• No login, no breakage. Other Twitter actors in the store rely on the user's logged-in cookie or auth_token that expires within days, or on credentials that get accounts banned. Customers end up with a stream of 401s and 1.5★ reviews. We use a maintained backend surface that stays stable.
• Four modes in one Actor. Search, tweet, user, trending — pick a mode per run; no juggling separate Actors.
• Full-field output. Text, author + screen name + uid, likes, retweets, replies, views, bookmarks, quotes, media URLs, language, publish time, conversation id, quoted tweet — all in one row.
• AI training-ready. English UGC, clean JSON, deduplicable by tweetId. Drop straight into a vector DB, an LLM fine-tune set, or a sentiment classifier.
• Marketing dashboards. Schedule keyword runs hourly and build a real-time pulse of any brand, product, ticker, or campaign on X.

How to use

1. Open the Actor and click Try for free.
2. In the Input tab, pick a Scrape mode (search is the default).
3. Fill the inputs for your mode:
   • search: keywords + searchType (Top / Latest / People / Media / Lists)
   • tweets: tweet IDs or URLs in tweetIds
   • user: handles (without @) in screenNames
   • trending: nothing required
4. Set Max items per input (default 50).
5. Click Save & Start. Results stream into the dataset live.
6. Download or stream the dataset; schedule the run under the Schedules tab.

Input

Field	Type	Used in mode	Description
mode	string	all	One of search, tweets, user, trending.
keywords	array	search	Keywords or full Twitter advanced-search queries.
searchType	enum	search	Top / Latest / People / Media / Lists.
tweetIds	array	tweets	Numeric tweet IDs or full URLs.
screenNames	array	user	Twitter / X handles (without @).
maxItemsPerInput	integer (1–1000)	all	Cap per keyword / tweet / user. Default 50.
fetchComments	boolean	tweets	Fetch up to 20 top replies per tweet. Extra cost.

JSON example — keyword search:

{
    "mode": "search",
    "keywords": ["claude code", "AI lang:en min_faves:100"],
    "searchType": "Latest",
    "maxItemsPerInput": 100
}

Output

{
    "tweetId": "2056362875195686927",
    "text": "the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work...",
    "author": "Anatoli Kopadze",
    "screenName": "AnatoliKopadze",
    "userId": "1234567890",
    "likes": 23714,
    "retweets": 4098,
    "replies": 189,
    "quotes": 56,
    "views": 6018031,
    "bookmarks": 59314,
    "isVideo": false,
    "media": ["https://pbs.twimg.com/.../photo.jpg"],
    "lang": "en",
    "publishedAt": "2026-05-18T13:14:49.000Z",
    "tweetUrl": "https://twitter.com/AnatoliKopadze/status/2056362875195686927",
    "conversationId": "2056362875195686927",
    "quotedTweetId": null,
    "keyword": "claude code",
    "searchType": "Latest",
    "scrapedAt": "2026-05-22T13:30:01.000Z"
}

Output fields

Field	Description
tweetId	Numeric tweet ID (canonical).
text	Tweet body (full text, not truncated).
author	Display name of the author.
screenName	Author handle (no @).
userId	Numeric user ID — pair with mode: "user" to drill in.
likes	Favorite / like count.
retweets	Retweet count.
replies	Reply count.
quotes	Quote-tweet count.
views	View count.
bookmarks	Bookmark count.
isVideo	True if the tweet includes a video.
media	All media URLs (videos first, then photos).
lang	Twitter-detected language code.
publishedAt	ISO 8601 publish time.
tweetUrl	Public deep link.
conversationId	ID of the root tweet for the thread.
quotedTweetId	ID of the quoted tweet, if this is a quote-tweet.
replies (when fetchComments)	Top 20 reply tweets.
userProfile	Author profile object (user mode only).
scrapedAt	ISO 8601 timestamp of scrape.

Pricing

$1.99 per 1,000 results. Each tweet returned counts as one result. tweets mode with fetchComments=true returns richer rows but is billed at the same rate.

Free vs. paid Apify plans

Apify free-plan users get 2 sample runs capped at 10 results each so you can verify the data shape and quality before committing. Further runs from free accounts are blocked with an upgrade prompt — this Actor relies on a paid backend, so we can't subsidise unlimited free use. Any Apify paid plan ($49/month and up — see Apify pricing) unlocks unlimited runs at the rate above.

Cost estimates

Goal	Items / run	Mode	Est. cost / run
Quick scan of one keyword	50	search	~$0.20
Brand round-up	500	search	~$2.00
KOL deep dive	200 tweets	user	~$0.80
Daily ticker monitoring	1,000	search	~$4.00 / day

Apify also charges a small compute fee (typically $0.01-0.05 per minute of run time).

Tips

• Use Twitter advanced search syntax. AI lang:en min_faves:100 since:2026-01-01 filters at the source — fewer wasted billed rows.
• Schedule, don't poll. For breaking news / event monitoring, schedule every 5-15 minutes during peak hours.
• Deduplicate by tweetId. Sequential runs overlap; merge and dedupe on tweetId.
• Pair user + tweets modes. Use mode: "user" to find KOLs, then drill into top tweets with mode: "tweets" + fetchComments.
• searchType: "Top" vs Latest. Top surfaces high-engagement tweets; Latest is firehose. Pick based on whether you want signal or recency.

FAQ

Q: Why is this Actor different from the other Twitter scrapers on the Store? A: Most existing actors depend on customer-provided auth_token / cookies that expire fast or get accounts banned. We don't ask for credentials. We've engineered around stable backend surfaces so the Actor stays usable across token rotations.

Q: Will this break when Twitter / X changes their API? A: Possibly. Our team maintains the backend; we patch usually within 24-72 hours of a backend change. Bug reports via the Issues tab.

Q: Is scraping Twitter / X legal? A: We pull only publicly-accessible content — what any visitor can see without logging in. Your usage is your responsibility; comply with your jurisdiction's law and X's Terms of Service. Do not use the data to identify or target individuals.

Q: Can I get my data via API? A: Yes. Every Apify run exposes a stable REST API for inputs, datasets, and run status. Plug into n8n, Make, Zapier, or your own pipeline.

Q: Is there a free tier? A: The Apify platform gives every new account $5 in free credit — enough for ~1,000 results to evaluate the Actor before committing.

Q: How fast are runs? A: Search: ~3 seconds per page (~20 tweets). User: ~2 seconds per page. Tweet detail: ~1 second per tweet. Trending: ~1 second total.

Q: I need a richer integration or higher-volume contract. A: Reach out via Apify chat. Custom endpoints and SLAs available on request.