X (Twitter) Scraper Unlimited – No Limits

What is X (Twitter) Scraper Unlimited?

X (Twitter) Scraper Unlimited – No Limits is an X (Twitter) scraper that turns links, handles, search terms and post ids into clean datasets of posts, profiles, X Articles, threads and profile analytics, with no login, cookies or API key. Export JSON, CSV or Excel for lead generation, brand monitoring and research, from $0.002 per result on the Gold plan ($0.003 on the Free plan).

X (Twitter) Scraper Unlimited is an Apify Actor that reads public data from X. You paste profile links, post links, article links, search links, handles, search terms or post ids, and you get one row per post, profile, analytics summary or failed input. Use it for:

• 🎯 Twitter lead generation: find accounts by topic, filter them by followers, bio and location, and export the contact details written in their bios.
• 📣 Twitter brand monitoring: search for your brand or hashtags on a schedule and keep only posts newer than your last run.
• 🔬 Twitter sentiment analysis and research datasets: collect posts by keyword, language and date range as clean rows for analysis.
• 🏁 Twitter competitor analysis and influencer research: compare posting pace, engagement rate and top hashtags across accounts.
• 📈 Twitter data extraction for dashboards: send results to Google Sheets, Make, Zapier or your own database.

The Actor runs on the Apify platform, so you also get the Apify API, scheduling, webhooks, integrations and JSON, CSV and Excel exports.

What can X (Twitter) Scraper Unlimited do?

• 🔗 Bulk input: a Twitter bulk scraper for hundreds of links, handles, search terms and post ids in one run.
• 🔍 Advanced search operators: from:, to:, lang:, since:, until:, min_faves:, min_retweets:, min_replies: and filter: phrases.
• 👤 Profiles and account search: bios, follower counts, bio emails and a topic search that finds accounts.
• 📊 Engagement and analytics: engagement rate per post and an optional analytics row per profile.
• 🧵 Threads, articles and reply chains: full X Article text, thread position and the posts above a reply.
• 🧰 Filters before you pay: date range, language, minimum likes, reposts, replies and views, verified authors, media and quote posts.
• 🔑 No account needed: no key, login or cookies are needed, and results are billed per result.

What data can X (Twitter) Scraper Unlimited extract?

The Actor extracts public posts, profiles and analytics. Rows come in four types, set in the type field: tweet (a post), user (a profile), profileStats (analytics for one profile) and error (an input that gave no result).

Field	Description
🏷 type	Row type: tweet, user, profileStats or error.
🔗 id, url, twitterUrl	Post or account id, and the link on x.com and on twitter.com.
📝 text	Full text of the post, long posts included.
🕒 createdAt, createdAtIso	Creation time in X's date format and as an ISO 8601 UTC string.
👍 likeCount, retweetCount, replyCount, quoteCount, bookmarkCount, viewCount	Counts of likes, reposts, replies, quote posts, bookmarks and views.
📈 engagement, engagementRate, engagementRateByViews	Likes + reposts + replies + quotes, as a number, as a percentage of followers and as a percentage of views.
👤 author	The account that wrote the post: user name, name, verification, followers, following and, when available, bio, location, website and creation date.
🖼 media, mediaUrls	Photos, videos and GIFs with details, plus direct links to original-size photos and the best video quality.
🔖 hashtags, mentions, urls, domains	Hashtags, mentioned accounts, links in the post and the domains of those links.
🔁 isRetweet, isQuote, retweeted, quote, quoteId	Whether the post is a repost or a quote, with the original or quoted post.
🧵 conversationId, threadId, threadPosition, threadLength, isReply, inReplyToId, inReplyToUserName, isPinned, thread	Conversation and thread details, reply links, the pinned flag and the posts above a reply.
📰 article	X Article attached to the post: id, title, preview, cover image, dates, plain text and content blocks.
🔎 lang, source, place, card, isLongPost, possiblySensitive, isEdited, editTweetIds, hasAiGeneratedMedia	Language, sending app, place, link card or poll, and post flags.
🧭 matchedSearchTerm, discoveredVia, dataQuality	The search term that found the row, a short source label, and the reason when a row has fewer details than usual.
🙋 userName, name, isVerified, isBlueVerified, verifiedType, followers, following, tweetsCount, isProtected	Profile rows: handle, display name, verification and counts.
📍 description, location, website, profilePicture, profileBanner, birthdate	Profile rows: bio, location, website, images and public birthdate when shared.
✉ bioEmails, bioLinks, bioMentions, bioHashtags	Email addresses, links, handles and hashtags written in the bio.
🔢 mediaCount, likesGiven, affiliatesCount, highlightedPostsCount, subscribersCount	Extra profile counts, present when available.
📊 postsAnalyzed, originalPosts, retweets, replies, quotes, withMedia, withLinks, from, to, postsPerWeek	Analytics rows: what was analysed and the posting pace.
🏆 likes, retweetCounts, replyCounts, views, avgEngagementRate, topHashtags, topMentions, topDomains, postsByWeekdayUtc, bestHourUtc, sources, topPosts, threads	Analytics rows: average, median, maximum and total counts, top hashtags, mentions and domains, best posting hour and the three top posts.
🚧 input, error	Error rows: the input that gave no result and why.

Note: not every field is present in every row. Fields such as source, place, threadId, viewCount and the extra profile counts appear only when X provides them, and dataQuality is set only on rows with fewer details than usual.

What data can't X (Twitter) Scraper Unlimited extract?

Only public data is collected. Protected accounts, private messages and posts that need an account to view are not available. X Lists are skipped, geo search and place search are not supported, and only the first post of a conversation is returned, not the replies to it.

How to scrape X (Twitter) data

1. Create a free Apify account or sign in.
2. Open X (Twitter) Scraper Unlimited and go to the Input tab.
3. Paste profile, post, article or search links into urls, or add handles to twitterHandles, keywords to searchTerms or post ids to tweetIds.
4. Set maxItems, choose outputMode (posts, profiles or both) and add optional filters such as start, end, tweetLanguage or minimumFavorites.
5. Click Start and watch rows appear in the Output tab while the run is going.
6. Download the dataset as JSON, CSV or Excel, or read it through the API.

How much does it cost to scrape X (Twitter)?

X (Twitter) Scraper Unlimited uses pay-per-event pricing: you pay for each result saved to the dataset, and platform usage is billed in addition. Error rows are never billed. The price per result depends on your Apify plan.

Plan	Price per result	Price per 1,000 results
Free	$0.003	$3.00
Bronze	$0.0027	$2.70
Silver	$0.0024	$2.40
Gold	$0.002	$2.00

Every run also has a start event of $0.00005 per GB of memory, with a minimum of one. The default memory is 1 GB, so one start event costs $0.00005.

Worked example: 1,000 results on the Gold plan cost 1,000 x $0.002 = $2.00, plus one start event of $0.00005, with platform usage billed in addition.

Is scraping X (Twitter) free?

You can start for free. The $5 monthly credit on the Apify Free plan covers about 1,666 results at the Free price of $0.003 ($5 / $0.003), before platform usage. Higher plans pay less per result. See the pricing page for current prices.

Input

Add at least one link, handle, search term or post id; the run stops with an input problem message otherwise. Everything else is optional. See the full input schema. A minimal input looks like this:

{
  "urls": ["https://x.com/NASA"],
  "maxItems": 10,
  "outputMode": "tweets",
  "sort": "Latest",
  "timelineKind": "posts",
  "profileMatch": "all",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Field	Type	Required	Default	Description
urls	array	No	["https://x.com/NASA"] (prefill)	Post, article, profile or search links, one per line. Handles such as @NASA and plain post ids also work.
twitterHandles	array	No	none	Profile handles, with or without the @.
searchTerms	array	No	none	Keywords or advanced-search phrases such as from:NASA filter:media min_faves:100.
profileSearchTerms	array	No	none	Find accounts by topic. Set outputMode to profiles or both to receive account rows.
tweetIds	array	No	none	Plain post ids to read directly.
conversationIds	array	No	none	Ids of conversations whose first post you want.
maxItems	integer	No	10	Maximum number of rows (posts and profiles) saved in total. Use 0 for no row cap.
outputMode	string	No	tweets	tweets, profiles or both.
sort	string	No	Latest	Latest, Top or Latest + Top.
timelineKind	string	No	posts	Profile tab to read: posts or highlights.
maxItemsPerSource	integer	No	0	Maximum posts per profile, link or search term. 0 shares maxItems across all inputs.
start	string	No	none	Keep posts on or after this date (YYYY-MM-DD).
end	string	No	none	Keep posts before this date (YYYY-MM-DD, this day excluded).
sinceId	string	No	none	Keep only posts with an id above this post id, for monitoring.
tweetLanguage	string	No	all languages	Keep posts written in this language.
minimumFavorites	integer	No	none	Minimum likes.
minimumRetweets	integer	No	none	Minimum reposts.
minimumReplies	integer	No	none	Minimum replies.
minimumViews	integer	No	none	Minimum views.
onlyVerifiedUsers	boolean	No	false	Keep posts from verified accounts.
onlyTwitterBlue	boolean	No	false	Keep posts from authors with a Blue subscription.
onlyImage	boolean	No	false	Keep posts with an image.
onlyVideo	boolean	No	false	Keep posts with a video.
onlyQuote	boolean	No	false	Keep quote posts.
excludeRetweets	boolean	No	false	Leave out reposts.
excludeReplies	boolean	No	false	Leave out replies.
author	string	No	none	Added to every search term as a from: filter.
inReplyTo	string	No	none	Added to every search term as a to: filter.
mentioning	string	No	none	Added to every search term as an @ mention filter.
minFollowers	integer	No	none	Minimum followers for profile rows and account search.
maxFollowers	integer	No	none	Maximum followers for profile rows and account search.
profileBioContains	array	No	none	Keep accounts whose bio contains at least one of these words.
profileLocationContains	array	No	none	Keep accounts whose location contains at least one of these words.
onlyVerifiedProfiles	boolean	No	false	Keep verified accounts only.
profileMatch	string	No	all	How strictly an account found by topic must match: all, any or off.
includeAuthorProfile	boolean	No	true	Add the author's bio, location, website and creation date to every post.
includeArticles	boolean	No	true	Add the full text of X Articles.
includeThreadAncestors	boolean	No	false	For replies, add the chain of posts above them (up to 10).
includeSearchTerms	boolean	No	false	Add matchedSearchTerm to each post.
includeProfileStats	boolean	No	false	Add one analytics row per profile.
includeErrorRows	boolean	No	true	Add a row that explains why an input gave no result. Never billed.
outputFields	array	No	all fields	Limit post rows to these fields.
proxyConfiguration	object	No	{"useApifyProxy": false}	Optional network setting. Leave the default unless you need a specific network or country.

Search terms and filters

• ✅ Good: from:NASA filter:media min_faves:100 combines an author, a media filter and a likes threshold in one term.
• ✅ Good: use start and end for date ranges and tweetLanguage for one language.
• ❌ Bad: near: and place: filters, list: and since_id: inside a search term; they are not supported and are ignored with a notice.
• ❌ Bad: expecting every post on X from a keyword search; keyword matches cover the posts that are reachable without an account.

Warning: author, inReplyTo and mentioning are added to search terms only. Links and handles are not filtered by them.

Find accounts by topic

• ✅ Good: profileSearchTerms with a phrase such as web3 founder and outputMode set to profiles.
• ✅ Good: add minFollowers, profileBioContains or profileLocationContains to narrow the list.
• ❌ Bad: leaving outputMode on tweets; no account rows are returned then.

Warning: with profileMatch set to all, an account must contain every word in its name, handle, bio or location. Set it to any or off for broader results.

Row limits

• ✅ Good: set maxItems to the number of posts and profiles you want, and maxItemsPerSource to spread it across inputs.
• ❌ Bad: maxItems of 0 with a very broad search term; the run then takes as many rows as it can find.

Warning: analytics rows from includeProfileStats are billed like any other result, but they do not count towards maxItems.

Output

Results appear in the Output tab and in the run's dataset as soon as they are saved. Separate views show posts, engagement, authors, media and links, reposts and quotes, articles, threads and replies, source and quality, profiles, profile analytics and errors. Download the data as JSON, CSV or Excel, or read it through the API. A run summary is saved under the key SUMMARY in the key-value store.

JSON example

A post row (shortened) for the input above:

{
  "type": "tweet",
  "id": "1700000000000000001",
  "url": "https://x.com/example/status/1700000000000000001",
  "twitterUrl": "https://twitter.com/example/status/1700000000000000001",
  "text": "Example post text with a link https://example.com/launch",
  "retweetCount": 12,
  "replyCount": 4,
  "likeCount": 150,
  "quoteCount": 2,
  "createdAt": "Fri Nov 24 17:49:36 +0000 2023",
  "lang": "en",
  "bookmarkCount": 7,
  "isReply": false,
  "author": {
    "type": "user",
    "userName": "example",
    "name": "Example",
    "isVerified": false,
    "isBlueVerified": true,
    "followers": 5200,
    "following": 120
  },
  "isRetweet": false,
  "isQuote": false,
  "viewCount": 9800,
  "createdAtIso": "2023-11-24T17:49:36.000Z",
  "conversationId": "1700000000000000001",
  "isPinned": false,
  "hashtags": ["example"],
  "mentions": [],
  "urls": [
    {
      "url": "https://example.com/s",
      "expandedUrl": "https://example.com/launch",
      "displayUrl": "example.com/launch"
    }
  ],
  "media": [],
  "engagement": 168,
  "engagementRate": 3.23,
  "engagementRateByViews": 1.71,
  "mediaUrls": [],
  "domains": ["example.com"],
  "discoveredVia": "direct"
}

With outputMode set to profiles, each account becomes a profile row (shortened):

{
  "type": "user",
  "userName": "example",
  "url": "https://x.com/example",
  "twitterUrl": "https://twitter.com/example",
  "id": "100000001",
  "name": "Example",
  "isVerified": false,
  "isBlueVerified": true,
  "profilePicture": "https://example.com/avatar.jpg",
  "followers": 5200,
  "following": 120,
  "description": "Example bio. Contact: hello@example.com",
  "location": "Example City",
  "website": "https://example.com",
  "createdAt": "Mon Jan 01 10:00:00 +0000 2018",
  "tweetsCount": 3400,
  "isProtected": false,
  "bioEmails": ["hello@example.com"],
  "bioLinks": [],
  "bioMentions": [],
  "bioHashtags": []
}

With includeProfileStats on, each profile also gets an analytics row (shortened):

{
  "type": "profileStats",
  "userName": "example",
  "followers": 5200,
  "postsAnalyzed": 100,
  "originalPosts": 60,
  "retweets": 40,
  "postsPerWeek": 22.5,
  "likes": { "avg": 120.5, "median": 70, "max": 2000, "total": 7230 },
  "avgEngagementRate": 0.02,
  "topHashtags": [{ "tag": "example", "count": 5 }],
  "bestHourUtc": 20,
  "topPosts": [
    {
      "id": "1700000000000000001",
      "url": "https://x.com/example/status/1700000000000000001",
      "engagement": 168
    }
  ],
  "threads": 2
}

An input that gives no result becomes an error row:

{
  "type": "error",
  "input": "@example",
  "error": "no tweets found"
}

The SUMMARY record holds posts, profiles, analyticsRows, errorRows, rowsBilled, postsExamined, filteredOutBy, durationSeconds and the status of every input under inputs.

Notes and limitations

• Only public data is available; protected accounts and posts that need an account to view are not.
• Keyword and hashtag searches, and the older history of an account, are partial: only the posts reachable without an account are found.
• For some large accounts only a selection of popular posts is available, so rows may not be newest first; a note appears in the run log when this happens.
• A post that appears more than once in a run is saved once.
• If X limits requests for an account, the log asks you to wait a few minutes and run again; only part of the posts may be collected that time.
• The run stops cleanly when your maximum cost per run is reached and keeps the rows already saved.

Tips and advanced usage

• Start with a small maxItems such as 10, check the rows, then raise it.
• Use sinceId with the last post id of your previous run and a schedule to collect only new posts.
• Set outputFields to keep only the columns you need, for example text, likeCount and author.
• Turn off includeAuthorProfile and includeArticles when you only need post text and counts.
• Use minimumFavorites, minimumRetweets or minimumViews to keep strong posts only; every filter you set must match.
• Check filteredOutBy in the SUMMARY record to see which filter removed the most posts when a run returns few rows.
• Use Twitter advanced search operators in searchTerms for a precise Twitter search by keyword.
• A Twitter min faves filter such as min_faves:100 keeps strong posts only.
• Add filter:verified or set onlyVerifiedUsers to find Twitter verified accounts.
• For Twitter monitoring of new posts, save the last id in sinceId and run on a schedule.
• Twitter hashtag tracking works the same way, with a #tag as the search term.
• Twitter trend analysis and Twitter data collection work best with a date range and a language.
• Read bioEmails for the Twitter bio email and author.followers for the Twitter followers count.
• Use mediaUrls for a Twitter media download, and threadId with threadPosition for a Twitter conversation thread.
• As a tweet scraper it returns whole posts, and as a Twitter hashtag scraper it takes #tags as search terms.
• As a Twitter keyword scraper it matches your words against the posts that are reachable, and you can export tweets to Excel from the dataset.

Integrations and API

Can I use X (Twitter) Scraper Unlimited as an API?

Yes. Start the Actor and read its dataset with the Apify API, or use the apify-client packages for Node.js and Python. Open the API tab for ready-made code and endpoints.

How to scrape X (Twitter) with Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("data_minds/twitter-x-scraper-unlimited-no-limits").call(run_input={
    "urls": ["https://x.com/NASA"],
    "maxItems": 10,
    "outputMode": "tweets",
    "sort": "Latest",
    "timelineKind": "posts",
    "profileMatch": "all",
    "proxyConfiguration": {"useApifyProxy": False},
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["url"], item["text"])

Can I integrate X (Twitter) Scraper Unlimited with other apps?

Yes. Connect it with Make, Zapier, Google Sheets, Slack and other tools through Apify integrations, trigger actions with webhooks, and use schedules to run it hourly, daily or weekly.

Can I use X (Twitter) Scraper Unlimited with AI agents (MCP)?

Yes. Apify Actors can be used as tools by AI agents through the Apify MCP server. Open the MCP tab of this Actor for the connection details.

Other X (Twitter) scrapers

Looking for more social media data? These Actors by data_minds work the same way: public data, no login, results in a dataset.

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🔗 X (Twitter) Profile Posts Scraper	Scrapes posts from public X (Twitter) profiles without login.

FAQ

Is it legal to scrape X (Twitter) data?

Scraping publicly available data is generally considered legal in many places, but the answer depends on your country, the data you collect and how you use it. Personal data may fall under privacy laws. Read Is web scraping legal? and ask a lawyer. This is not legal advice.

How does X (Twitter) Scraper Unlimited work?

You give it links, handles, search terms or post ids, plus optional filters. The Actor collects the matching public posts and profiles, applies your filters and limits, and saves each row to the dataset as soon as it is ready. You can follow progress in the Output tab and download the results in several formats.

Why scrape X (Twitter) data?

People scrape X for lead generation, brand monitoring, sentiment analysis, competitor analysis and influencer research. Researchers build datasets of posts by keyword, language and date range, and marketers track hashtags or compare engagement between accounts. Structured rows in JSON, CSV or Excel are easier to analyse than copying posts by hand.

Do I need an X account, login or cookies?

No. The Actor reads public data and does not ask for your X login, cookies or an API key. You only need an Apify account. Because it works without an account, protected accounts and posts that require a login are not available, and keyword searches cover only the posts that are reachable.

Why did I get fewer results than expected?

Several things can reduce the count. Your filters may remove posts, maxItems or maxItemsPerSource may stop the run, and keyword searches and older history are only partly reachable. Open the SUMMARY record and check filteredOutBy, then relax a filter or add more inputs and run again.

Can I scrape tweets to CSV or Excel?

Yes. Every run saves its rows to an Apify dataset, and you can download that dataset as CSV, Excel, JSON and other formats from the Output tab or through the API. Nested fields such as author and media are easiest to read in JSON, and you can limit columns with outputFields.

How do I collect only new posts?

Save the id of the newest post from your last run and put it in sinceId. The Actor then keeps only posts with a higher id. Combine it with an Apify schedule and a webhook or integration to receive new posts automatically every hour, day or week.

X (Twitter) Scraper Unlimited is not working, what should I do?

First check that your input has at least one valid link, handle, search term or post id, and read the run log and the error rows for the reason. If the site is limiting requests, wait a few minutes and run again. If it still fails, open a ticket in the Issues tab with your run link.

Support and feedback

Found a bug or missing a field? Open a ticket in the Issues tab. For custom solutions or questions, contact hello.dataminds@gmail.com. Built and maintained by the data_minds team on Apify.

This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by X Corp. Collect data responsibly and follow the platform's terms and the laws that apply to you.