X (Twitter) Global Trending Scraper

What does X (Twitter) Global Trending Scraper do?

X (Twitter) Global Trending Scraper extracts data from X's new Global Trending page — the AI-curated hub that surfaces the most popular posts, trending topics, and ranked trends on X right now. It works as an unofficial X / Twitter trends API alternative, letting you pull structured trending data for 69 countries (worldwide + 68 individual countries), 24 content categories, and 3 time windows — no login or API keys required.

Unlike every other "Twitter trends" scraper, which only returns the old plain list of trending topic names, this Actor also captures the actual popular posts behind each trend — with full text, engagement metrics, media, and author details.

Why use X (Twitter) Global Trending Scraper?

• 🔥 Popular posts feed — the real trending posts per country/category/time, not just topic names. This is data no other trends scraper provides.
• 🌍 69 locations — Global plus 68 countries (US, UK, Japan, Brazil, India, Germany, Saudi Arabia, and more).
• 🗂️ 24 categories — News, Sports, Music, Technology, Cryptocurrency, Gaming, Movies & TV, Business & Finance, and more.
• ⏱️ 3 time windows — Popular today, this week, or this month.
• 📊 Rich per-post data — likes, reposts, replies, quotes, views, bookmarks, media/video URLs, hashtags, and full author profile.
• 🧩 Three data types in one Actor — popular posts, the classic ranked trends list, and trending topic chips.
• ⚡ Fast & API-based — no browser automation and nothing for you to log in or configure. Just clean structured data.
• 🔁 Batch runs — scrape many countries and categories in a single run.

Common use cases

• Track what's trending across markets for social media & marketing teams.
• Feed news monitoring, brand monitoring, and crisis detection pipelines.
• Discover viral posts and creators for content research and trendspotting.
• Power research & analytics on public discourse by country and topic.

How this Actor compares

Feature	This Actor	Typical trends scrapers
Popular posts (full tweets)	✅ Yes	❌ No (topic names only)
Ranked trends list	✅ Yes	✅ Yes
Trending topic chips	✅ Yes	❌ Rare
Countries	69 (worldwide + 68)	Varies
Category filter	✅ 24 categories	❌ Rare
Time window (today/week/month)	✅ Yes	❌ Rare
Per-post engagement + views	✅ Yes	❌ No
Method	Direct API, no login	Often browser-based

What data can you extract?

The Actor produces three record types, tagged with a resultType field.

Popular posts (resultType: "post")

Field	Type	Description
country / category / timeWindow	string	The trending context the post came from
rank	number	Position in the feed (1 = top)
fullText	string	Full post text (long posts included)
tweetUrl / tweetId	string	Direct link and ID
createdAt / lang / source	string	Post time, language, client
likeCount / viewCount / repostCount	number	Engagement (plus reply, quote, retweet, bookmark counts)
mediaType / imageUrls / videoUrls	string / array	Media type and playable image/video links
hashtags / mentions / externalUrls	array	Entities in the post
isQuote / quotedTweetUrl	bool / string	Whether the post quotes another post, and the quoted post's link
authorHandle / authorName / authorId	string	Post author identity
authorVerified / authorFollowers / authorFollowing	bool / number	Author status and audience
authorBio / authorLocation / authorWebsite	string	Author profile details
authorProfileImage / authorBannerImage	string	Author images

Ranked trends (resultType: "trend")

Field	Type	Description
country / locationName / woeid	string / number	The location of the trend
rank	number	Trend rank (1 = top)
name / query / searchUrl	string	Trend name and X search link
tweetVolume	number	Volume of posts for the trend. Usually null — X removed public trend volumes in early 2026 (this affects every trend tool, not just this one). Use the post metrics instead.
asOf	string	Timestamp reported by X

Trending topic chips (resultType: "topicChip")

Field	Type	Description
country	string	The location of the topic
rank	number	Order in the topic list
name / searchUrl	string	Topic keyword and X search link

How to scrape X (Twitter) Global Trending

1. Go to the Actor page on Apify Store and click Try for free.
2. Choose what to collect — Popular posts, Ranked trends list, and/or Trending topic chips.
3. Pick countries (and categories + time window for posts). Leave defaults for the worldwide feed.
4. Click Start — the Actor pulls the trending data.
5. Download results — export as JSON, CSV, Excel, XML, or HTML, or via the Apify API.

Tip: Max posts per feed defaults to 0 (the whole feed). Set a small number (≤20) if you just want a quick sample.

How much does it cost?

Because this Actor talks directly to X's endpoints (no headless browser), it uses very little compute, so runs are cheap and fast. You can start on the Apify Free plan ($5 free usage every month) and scale up on any paid plan. As a rule of thumb, a popular-posts feed pages through the trending posts in lightweight requests of ~20 each (cap it with Max posts per feed for fewer), and the ranked-trends and topic-chip calls are one request per country.

Input

Configure the run on the Input tab, or via JSON. All fields are optional — the defaults return the worldwide popular-posts feed for today.

Field	Type	Default	Description
resultTypes	array	["posts"]	Which data to collect: posts, trends, topicChips
countries	array	["Global"]	Global + 68 countries; applies to all data types
categories	array	["All"]	24 categories; applies to posts only
timeWindow	string	"Today"	Today, This week, or This month (posts only)
languages	array	[]	Keep only posts in these languages (empty = all)
maxPostsPerFeed	integer	0	Max posts per country×category feed. 0 (default) = whole feed (often 1,000+); set a number to cap it. ≤20 returns instantly

Example input:

{
  "resultTypes": ["posts", "trends", "topicChips"],
  "countries": ["Global", "United States", "Japan"],
  "categories": ["All", "Sports", "Technology"],
  "timeWindow": "This week",
  "languages": [],
  "maxPostsPerFeed": 0
}

Output

Each item is one record. Real examples below.

Popular post:

{
  "resultType": "post",
  "country": "United States",
  "category": "All",
  "timeWindow": "Today",
  "rank": 1,
  "tweetId": "2073382535266976165",
  "tweetUrl": "https://x.com/mattvanswol/status/2073382535266976165",
  "fullText": "🚨#BREAKING: A German soccer fan who flew to the USA ... THIS IS THE AMERICA I KNOW!!!!!! 🇺🇸🇺🇸🇺🇸",
  "createdAt": "2026-07-04 12:24:52+00:00",
  "lang": "en",
  "source": "Twitter Web App",
  "replyCount": 2824,
  "repostCount": 23226,
  "retweetCount": 22113,
  "quoteCount": 1113,
  "likeCount": 215321,
  "viewCount": 9175233,
  "bookmarkCount": 18345,
  "mediaType": "video",
  "imageUrls": ["https://pbs.twimg.com/amplify_video_thumb/2073379822957469696/img/wr6qHS3ROWPxLv26.jpg"],
  "videoUrls": ["https://video.twimg.com/amplify_video/2073379822957469696/vid/avc1/1920x1080/FPYsY1IFc1VcTJi2.mp4?tag=28"],
  "hashtags": ["BREAKING"],
  "mentions": [],           // usernames @-mentioned in the post; empty if none
  "externalUrls": [],       // links in the post; empty if none
  "isQuote": false,         // true if this post quotes another
  "quotedTweetUrl": "",     // link to the quoted post (when isQuote is true)
  "authorHandle": "mattvanswol",
  "authorName": "Matt Van Swol",
  "authorId": "1244068896157708289",
  "authorUrl": "https://x.com/mattvanswol",
  "authorVerified": true,
  "authorFollowers": 530151,
  "authorFollowing": 7622,
  "authorTweetsCount": 26840,
  "authorLocation": "Asheville, NC",
  "authorBio": "Former Nuclear Scientist for US Dept of Energy | Ex-Photographer for @apple, @united, and @hyatt",
  "authorWebsite": "https://tools.vote.online/embeds/check-your-registration?partnerId=06f73376",
  "authorProfileImage": "https://pbs.twimg.com/profile_images/1580221131985920001/XNlqL_Yx_normal.jpg",
  "authorBannerImage": "https://pbs.twimg.com/profile_banners/1244068896157708289/1665589063",
  "authorCreatedAt": "Sun Mar 29 01:08:41 +0000 2020"
}

Ranked trend:

{
  "resultType": "trend",
  "country": "United States",
  "locationName": "United States",
  "woeid": 23424977,
  "rank": 1,
  "name": "Good Sunday",
  "query": "%22Good+Sunday%22",
  "searchUrl": "https://x.com/search?q=%22Good+Sunday%22",
  "tweetVolume": null,      // X removed public trend volumes in early 2026 — usually null
  "asOf": "2026-07-05T10:35:06Z"
}

Trending topic chip:

{
  "resultType": "topicChip",
  "country": "United States",
  "rank": 1,
  "name": "America",
  "searchUrl": "https://x.com/search?q=America"
}

Tips

• Popular posts are the differentiator — the posts result type is the unique value here; the classic trends list is what other scrapers return.
• Posts per feed — maxPostsPerFeed defaults to 0 = the whole feed (often 1,000+ posts). Set it to 20 or fewer for an instant quick sample.
• tweetVolume is usually null — X removed public tweet-volume numbers from trends in early 2026. The field is kept for completeness but is empty for most trends across the whole platform.
• Batch smartly — every country × category × time combination is one request. Selecting many of each multiplies the run size, so start small and scale up.
• Automate it — schedule the Actor to capture trends hourly/daily, or connect it to your stack via the Apify API, webhooks, or integrations (Make, Zapier, Slack, Google Sheets).

FAQ and support

Does this Actor need an X (Twitter) account or login?

No — you never provide any credentials. Small runs use public guest access; deep pagination (more than ~20 posts per feed) uses a logged-in session the Actor manages internally, so there's nothing for you to set up.

What's the difference between "trends" and "topic chips"?

trends is X's classic numbered trending-topics list per location (with search links). topicChips are the trending topic keywords shown on the new Global Trending page. Both are topic-level; posts gives you the actual popular tweets.

Why is tweetVolume empty / null? Is the Actor broken?

No, it's working correctly. X removed the public "posts count" from its trends API in early 2026, so the value is null for essentially all trends now — this affects every trends scraper on the market, not just this one. We keep the field so it fills in automatically if X ever restores it. For real popularity signals, use the posts result type, which has live likeCount, viewCount, and repostCount.

Why do some rows have empty columns?

The dataset mixes three record types. A post row won't have trend fields (like woeid) and vice-versa. Filter by resultType, or use per-type exports.

Can I get more than ~20 posts per feed?

Yes. Up to 20 return instantly; set Max posts per feed higher (or 0 for the whole feed, ~150+ posts) and the Actor pages through the full feed for you.

Is scraping X Global Trending legal?

This Actor only collects publicly available trending data. As with any scraping, you are responsible for how you use the data.

Personal data notice: Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Support

Found a bug or need a new feature (a country, a category, a field)? Open an issue on the Actor's Issues tab and we'll help.