YouTube Trending Scraper - Top Videos by Topic
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from $0.38 / 1,000 videos
YouTube Trending Scraper - Top Videos by Topic
Get the most-viewed YouTube videos for any topic. YouTube retired the Trending feed, so this searches each topic and sorts by views: the ranking is all-time, not this week. Each row has the title, views, age, duration, channel, thumbnail and URL. $0.40 per 1,000 videos.
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from $0.38 / 1,000 videos
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Dami's Studio
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Scrape the most-viewed YouTube videos for any topic you name: give it a list of topics and get back the videos with the highest view counts for each one, with title, channel, view count, age, duration, thumbnail and the watch URL. No account, no API key, no quota.
Read this before you buy, because the name promises something YouTube no longer offers. YouTube retired the standalone Trending feed, so there is nothing left to read. What this does instead is search each topic and sort by views, which means the ranking is all-time, not this week. Ask it for "music" and the top of the list is a video with a hundred million views from three months ago, not the clip everyone is sharing today. If what you need is what is rising right now, this is the wrong purchase, however cheap it is.
| Input | Topics or keywords, one per line |
| Output | One row per video: title, channel name and id, views, age and duration as YouTube prints them, thumbnail, watch URL |
| Ceiling | 2,000 videos per run |
| Account needed | None |
| Price | $0.40 per 1,000 videos on the Free plan, a little less on paid plans. The free plan's $5 a month covers about 12,500 |
🔍 What YouTube Trending Scraper does
One search per topic, sorted by view count, paged until it has what you asked for or the topic runs out. Give it five topics and a limit of 100 and it works down the list, stopping the moment the total is reached, so put the topic you care about most first.
Numbers come back exactly as YouTube prints them, as text: 115,768,253 views, 3 months ago,
4:21. That is deliberate. YouTube never publishes a real timestamp on a search result, only a
phrase, and parsing "3 months ago" into a date would be inventing precision that was never there.
A video that appears under two of your topics is returned once and counted once.
📋 What data you get from each top YouTube video
| What you get | Field |
|---|---|
| The 11 character video id and the watch link | videoId, url |
| Title | title |
| Who uploaded it | channelName, channelId |
| Views, as YouTube prints them | viewCountText |
| How long ago it went up | publishedTimeText |
| Duration | lengthText |
| The largest thumbnail on offer | thumbnail |
Always trending here, so rows merge with the other YouTube scrapers | mode |
▶️ How to scrape the most-viewed YouTube videos for a topic
- Open YouTube Trending Scraper and click Try for free.
- Type your topics into Topics / keywords, one per line, most important first.
- Set Max videos low while you are testing, since that is what you pay for.
- Click Start.
- Download the dataset as JSON, CSV or Excel, or pull it from the Apify API.
💰 How much does it cost to scrape the most-viewed YouTube videos?
$0.40 per 1,000 videos on the Free plan. Paid plans pay a little less: $0.395 on Starter, $0.39 on Scale and $0.385 on Business. On the free plan, the $5 Apify gives you each month covers about 12,500 videos.
You pay per video returned, so the bill follows Max videos rather than how many topics you typed. A video found under two topics counts once. Diagnostic rows are not charged, and a topic that returns nothing adds nothing to the bill.
📥 What you give it
{"keywords": ["music", "gaming", "ai"],"maxItems": 100}
| Field | Default | What it is |
|---|---|---|
keywords | none | One topic per line, most important first. With an empty list you get one uncharged BAD_INPUT row and nothing is searched. The form opens with music as an example. |
maxItems | 50 | Total videos across every topic, not per topic. Up to 2,000. This is what you pay for. |
proxyConfiguration | Apify network on | The default is fine for YouTube. Leave it alone unless you have your own servers you want the traffic to leave through. |
notionConnector | none | Optional. Deliver the rows to a Notion workspace you have connected to Apify. |
notionParentId | none | The Notion database to write them into, when you use the connector. |
📤 What you get back
A real row from a real run. The thumbnail link is cut short so the block stays readable:
{"ok": true,"videoId": "OQac93ARgQE","title": "TUL8TE, Saint Levant - Nano I تووليت، ساينت ليفانت - نانو (Official Music Video)","url": "https://www.youtube.com/watch?v=OQac93ARgQE","channelName": "TUL8TE","channelId": "UC5a1OK2lI0Q2x2jyJSDyc7A","viewCountText": "115,768,253 views","publishedTimeText": "3 months ago","lengthText": "4:21","thumbnail": "https://i.ytimg.com/vi/OQac93ARgQE/hq720.jpg?sqp=...","mode": "trending"}
| Field | How to read it |
|---|---|
videoId | It survives a title change, so key on it rather than the URL. |
viewCountText | What YouTube printed. On a live stream it reads N watching instead of a view count. |
publishedTimeText | YouTube's own phrase, like 3 months ago. Empty on a live stream, which has not been published yet. |
lengthText | Duration as shown, 4:21. Live streams have none. |
channelId | The UC... id, or an empty string when the byline is a collaboration rather than one channel. Measured at 41 of 45 rows carrying an id on one run. |
thumbnail | Signed and time limited, so download what you want to keep. |
🧾 Reading the output
| Row | How to spot it | Billed |
|---|---|---|
| A video | ok: true with a videoId | yes |
| A diagnostic | ok: false with an errorCode and the topic it belongs to | no |
Filter on ok == true and you have your data. A diagnostic row does not stop the run. The other
topics carry on.
| Code | What it means |
|---|---|
RATE_LIMITED, SERVER_ERROR, NETWORK | That topic would not answer this run. Re-running usually clears it. |
NOT_SERVED | This video was not served this run. Re-run it later. Until 12 October 2026 this code was called BLOCKED. |
NOT_FOUND | The search came back as not found. |
NO_RESULTS | The search worked and that topic had nothing to return. |
BAD_INPUT | No topics were given, so there was nothing to search. |
TIME_LIMIT | The run got close to its time limit and stopped on its own. The videos delivered before that are in the dataset and charged as usual. Give the run more time, or ask for fewer videos, to get the rest. |
A run ends as failed only when the time limit stopped it before any video came back.
💡 What people use it for
- Sizing a niche before making anything: what does the top of this topic actually look like, and how big are the numbers.
- Finding the channels that own a subject, by grouping rows on
channelName. - Filling a content calendar with formats that already worked, rather than guesses.
- Checking the same topics week to week. The ranking moves slowly, so weekly tells you more than hourly.
From a topic to the channels that own it, in three runs:
- Run this on your topic and group the rows on
channelName. - Paste the strongest channels into the Channels box of YouTube Channel Scraper to see how often they post and what.
- Put the
urlof the top videos into the Video URLs or IDs box of YouTube Transcript Scraper to study what they say.
🚧 What it does not do
- It is not this week's trending. The ranking is all-time views for the topic. YouTube retired the feed that would have answered the other question.
- No description, no like count, no comment count. The search results do not carry them. Pull those separately if you need them.
- No dates.
publishedTimeTextis YouTube's phrase, not a timestamp, and nothing here turns one into the other. - News-shaped topics come back full of live streams, which have
N watchingwhere the view count goes and no publish date or duration at all. - A collaboration byline leaves
channelIdempty, because YouTube gives that row no single channel to point at.channelNamestill fills in. - 2,000 videos per run, and
maxItemscounts across every topic together. - If YouTube answers a sorted request in relevance order anyway, the rows come back in that order and nothing on the row flags it.
- It is not an official YouTube tool. Dami's Studio is independent and is not affiliated with or endorsed by YouTube or Google, or by any other company named on this page.
🧭 Which YouTube scraper do you need?
| If you want | Use |
|---|---|
| The most-viewed videos for a topic | This one |
| A keyword search in YouTube's own order, or a channel's newest uploads | YouTube Scraper |
| Shorts from a channel or a keyword, with exact view and like counts | YouTube Shorts Scraper |
| Only the new uploads since your last check | YouTube Upload Monitor |
| What a video says, as text, SRT and VTT | YouTube Transcript Scraper |
| Comments under a video | YouTube Comments Scraper |
| The video, its audio or its subtitles as a file | YouTube Downloader Pro |
| What people are searching for right now, from Google Trends | Google Trends Scraper |
❓ Questions people ask
Do I need a YouTube API key?
No. No key, no OAuth, no quota to manage.
Why is a three-month-old video at the top?
Because the sort is total views, and an older video has had longer to collect them. That is what "most viewed for this topic" means here.
Can I get exact numbers instead of text?
Not from this one. viewCountText carries the digits YouTube printed, so 115,768,253 views parses
cleanly enough, but the age never will.
Does it cover a country or a language?
Not as a setting. Phrase the topic in the language you want and you mostly get that language back.
Can I call it from code or connect it to an AI assistant?
Yes. The API tab has ready-made
code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect
https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/youtube-trending-scraper. Either way
the run happens on your Apify account at the same price.
Is scraping YouTube legal?
This reads public search results, the same ones a signed-out visitor sees. Apify's write-up on the legality of web scraping is a reasonable starting point, and we are not lawyers.
🆘 If something breaks
Open the Issues tab on the actor page. Include the topics you used and the run ID. Any diagnostic rows in your dataset already name the reason.