Google Trends Trending Now + Bluesky, Wikipedia & Songs
Pricing
from $1.00 / 1,000 trend items
Google Trends Trending Now + Bluesky, Wikipedia & Songs
What is trending right now on Google Trends, Bluesky, Mastodon, Wikipedia, Hacker News and Apple Music charts (plus YouTube with your key), in one dataset. Finds topics trending on several platforms at once and flags your keywords. Official public feeds only: no logins, no proxies.
Pricing
from $1.00 / 1,000 trend items
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See what is trending right now on several platforms in one run. This Actor reads the official, public trend feeds of Google Trends, Bluesky, Mastodon, Wikipedia, Hacker News and the Apple Music charts (plus YouTube if you add your own API key) and returns one clean dataset row per trending item. It also points out topics that are trending on more than one platform at the same time, and it flags the keywords you care about.
It is built for marketers, content creators, social media managers, newsrooms, SEO teams, researchers and AI agents that need a quick, structured answer to "what are people talking about right now?"
No logins, no proxies, no scraping of closed platforms. Only public feeds that the platforms themselves publish.
What it does
- Google Trends trending searches ("Trending now") for up to 10 countries, with the approximate search volume (for example
200K+) and the news stories Google links to each trend. - Bluesky trending topics (global), with post counts, status (hot, trending, cooling), category and a few example accounts.
- Mastodon trending hashtags and links for one or more instances (default
mastodon.social), with today's uses, accounts and 7-day totals. - Wikipedia most read articles for up to 5 languages, with views, a short description and extract.
- Hacker News front page, with points and comment counts.
- Trending songs from the Apple Music "most played" chart per country (falls back to the iTunes top songs chart if that feed is down).
- YouTube most popular videos per country, if you add your own YouTube Data API key.
- Cross-platform trend detection: titles are normalised (case, accents, punctuation,
#hashtagssuch as#TaylorSwift) and matched across platforms. Matching is deliberately conservative: a wrong match is worse than a missed one. Songs are matched on the artist, not on the song name. - Keyword monitoring: give a list of words or phrases (your brand, products, competitors, topics). Each item lists the keywords it matched (whole words, case and accent insensitive). You can also return only matching items.
Sources and attribution
| Platform | Feed used | Scope | Attribution / licence |
|---|---|---|---|
| Google Trends | trends.google.com/trending/rss (public RSS) | per country | Data from Google Trends. Search volume is an approximate range published by Google. |
| Bluesky | public.api.bsky.app app.bsky.unspecced.getTrends (fallback getTrendingTopics) | global | Bluesky public AppView API. Bluesky marks these endpoints as "unspecced", so they can change. |
| Mastodon | /api/v1/trends/tags and /api/v1/trends/links of each instance | per instance | Public trends API of each Mastodon server. Trends are what that server sees, not the whole fediverse. |
| Wikipedia | Wikimedia featured feed (api.wikimedia.org/feed/v1) | per language | Wikipedia article descriptions and extracts are available under CC BY-SA 4.0. Attribute Wikipedia and link to the article when you republish them. |
| Hacker News | HN Search API by Algolia (hn.algolia.com) | global | Public API. Links go to the story and the HN discussion. |
| Apple Music | Apple Marketing Tools RSS "most played" songs, fallback iTunes Store top songs RSS | per country | Charts data from Apple. Keep the Apple Music link when you show a song. |
| YouTube (optional) | YouTube Data API v3 videos?chart=mostPopular with your own key | per country | Uses your API key and quota. The key is never written to the output or the log. |
Every row has an attribution field and a sourceUrl (the public endpoint it came from; never your API key).
Input example
{"sources": ["googleTrends", "bluesky", "mastodon", "wikipedia", "hackerNews", "appleMusic"],"countries": ["US", "GB"],"maxItemsPerFeed": 20,"watchKeywords": ["AI", "Taylor Swift", "electric cars"],"onlyKeywordMatches": false,"wikipediaLanguages": ["en", "de"],"mastodonInstances": ["mastodon.social"]}
- Countries are two-letter codes (US, GB, DE, NO, BR, IN ...). They apply to Google Trends, Apple Music and YouTube.
- Max items per feed is the top N of each feed (each platform × country / language / instance). Some platforms publish fewer: Bluesky up to 25, Mastodon up to 20, Google Trends usually 10 to 20 per country.
- To add YouTube, put your key in YouTube Data API key and select YouTube.
Output example
One row per trending item. The example below is illustrative.
{"source": "googleTrends","sourceLabel": "Google Trends","feed": "trending_now","region": "US","language": null,"instance": null,"rank": 1,"title": "taylor swift","url": "https://trends.google.com/trends/explore?geo=US&q=taylor%20swift&date=now%207-d","description": "Taylor Swift's new album breaks streaming records","metric": { "name": "approx_searches", "value": 2000000, "display": "2,000,000+ searches" },"stats": {},"category": null,"startedAt": "2026-10-12T12:20:00.000Z","publishedAt": null,"imageUrl": "https://encrypted-tbn3.gstatic.com/images?q=tbn:example","related": [{ "title": "Taylor Swift's new album breaks streaming records", "url": "https://news.example.com/taylor-swift-album", "source": "Example News" }],"matchedKeywords": ["Taylor Swift"],"crossPlatform": { "platformCount": 3, "platforms": ["googleTrends", "bluesky", "wikipedia"], "clusterId": "x-3f1c2a9b0e" },"attribution": "Google Trends (trends.google.com), \"Trending now\" RSS feed","sourceUrl": "https://trends.google.com/trending/rss?geo=US","fetchedAt": "2026-10-12T12:52:39.691Z"}
metric is the platform's own popularity number: approximate searches (Google Trends), posts (Bluesky), uses today (Mastodon), views (Wikipedia, YouTube), points (Hacker News) or chart position (Apple Music). stats holds extra numbers such as 7-day Mastodon totals, HN comments or YouTube likes.
Rows are ordered so the most prominent items come first: every feed's #1, then every feed's #2, and so on.
Run summaries
- TRENDS_SUMMARY (key-value store): the cross-platform trends of this run (sorted by number of platforms, then rank), keyword hits, and the status of every feed (
ok, items, which feed was used, error, duration). - RUN_SUMMARY: counts (collected, duplicates removed, delivered, cut by your charge limit) and the number of charged items.
Pricing
$1.00 per 1,000 trend items (pay-per-event, event trend-item). Any per-run start fee is shown on the Pricing tab. You are charged once per dataset row delivered:
- Failed feeds are free. If a platform is down, you get the others and pay only for what was delivered.
- Duplicate items within a run are removed before delivery, so you never pay twice for the same item.
- If your maximum charge per run is reached, the Actor stops delivering (it keeps the most prominent items) and tells you how many were left out.
- With "Only return items that match a keyword", you pay only for matching items.
A typical run (6 platforms, 1 country, 20 items per feed) returns about 120 to 140 items.
Limits and good to know
- The data is what each platform publishes, nothing more. The Actor does not estimate or invent numbers.
- Google Trends
approx_trafficis a range ("200K+");metric.valueis its lower bound. - Bluesky trends are global; Mastodon trends are per server. Hacker News is global.
- Mastodon instances must be plain public hostnames (for example
fosstodon.org); IP addresses, ports and internal names are rejected. - There is no historical data: each run is a snapshot of "right now". To build a history or get alerts, run it on an Apify Schedule (for example every hour) and connect a webhook or integration (Slack, email, Google Sheets, Make, Zapier) to the results.
- Cross-platform matching is text based and conservative. It can miss a story told in different words on two platforms.
- Platforms can change or retire these feeds. If one breaks, that feed is reported as failed (free) and the rest of the run continues.
FAQ
Why not TikTok, Instagram or X (Twitter)? Their terms prohibit automated collection, and getting their data usually means logins, proxies and accounts that get banned. This Actor only uses official public feeds and APIs: no logins, no proxies, no bans, and nothing that breaks the platforms' rules.
Can I use it from an AI agent or an automation?
Yes. Call it through the Apify API, MCP server or integrations; the output is a uniform JSON schema with one row per trend, and TRENDS_SUMMARY gives a compact overview for an LLM to read.
How fresh is the data? As fresh as each feed: Google Trends, Bluesky, Mastodon and Hacker News update continuously; Wikipedia's most-read list covers the previous full day (UTC); Apple charts update daily.
Does it need a YouTube API key? Only for YouTube. All other platforms are keyless. You can create a free key for the YouTube Data API v3 in the Google Cloud console; the requests count against your own quota.
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