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{
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curl --location --request GET 'https://zylalabs.com/api/2605/youtube+keywords+insights+api/2607/get+trends?q=ios26' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Youtube Keywords Insights API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
Analyze keyword performance and discover content opportunities with detailed YouTube search metrics. This API provides insights into search demand, competition, video performance, audience size, content freshness, and related tags to help creators and marketers make data-driven content decisions.
For each keyword, the API returns estimated monthly searches, indicating potential audience interest. A trend score provides an additional signal for evaluating keyword momentum, while competition levels and competition scores help assess how challenging it may be to target a specific topic.
Video performance metrics include average views and median views, offering complementary perspectives on how videos associated with a keyword perform. Average channel subscribers provide context about the audience size of channels appearing in the results. A freshness score helps evaluate how current the available content is, and the sample size indicates how many videos were analyzed to generate the metrics.
The Youtube Keywords Insights API provides a comprehensive suite of data to inform YouTube content strategy. It offers insights into keyword popularity through estimated monthly searches and trend scores, helping users identify topics with high audience interest and momentum. It also assesses competitive pressure with competition levels and scores, guiding users on how challenging it might be to rank for a given keyword. Furthermore, it provides video performance metrics like average and median video views, average channel subscribers, and content freshness scores, allowing creators to understand what kind of content and channels are currently succeeding.
For each keyword analyzed, the Youtube Keywords Insights API returns several key data fields. These include 'estimated_monthly_searches' to gauge audience interest, a 'trend_score' for keyword momentum, and 'competition_level' and 'competition_score' to assess market saturation. It also provides 'average_views' and 'median_views' for videos associated with the keyword, 'average_channel_subscribers' to understand the audience size of relevant channels, and a 'freshness_score' to evaluate content recency. A 'sample_size' field indicates the number of videos analyzed for the metrics.
The API helps uncover underserved topics by analyzing the interplay of search demand, competition, and video performance. By identifying keywords with significant 'estimated_monthly_searches' but relatively low 'competition_score' and 'trend_score', users can pinpoint topics with high potential audience interest and less saturation. Examining 'average_views' and 'freshness_score' can reveal gaps where current content may not be meeting audience demand or is outdated, presenting opportunities for new, relevant content.
The video performance metrics, such as 'average_views' and 'median_views', offer practical applications by revealing the typical success of videos targeting a specific keyword. 'Average_channel_subscribers' provides context on the audience size of channels that typically rank for these keywords. This data helps creators benchmark their potential performance, understand the audience engagement levels they might expect, and tailor their content strategy to align with what is already resonating with viewers on YouTube.
Yes, the Youtube Keywords Insights API can provide information on related tags and keywords. While the primary focus is on detailed metrics for a given keyword, the API's underlying functionality often involves analyzing related search terms and tags to provide a comprehensive view of a topic's landscape. This allows users to discover variations of their target keywords and expand their content strategy to capture a broader audience interested in related subjects.
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