The YouTube Keyword Data Extractor API provides real-time insights into the most searched YouTube-related keywords on Google. By simply passing a keyword or phrase, this API returns a structured list of top suggestions that users are actively searching for, along with their corresponding search volumes. It combines Google Trends data with YouTube autocomplete queries to deliver highly relevant and timely information about what content is trending and how people are phrasing their searches.
Designed for content creators, digital marketers, SEO analysts, and trend researchers, this API allows you to uncover valuable patterns and optimize your content strategy accordingly. Whether you want to discover the top "how-to" queries, understand educational interests, or keep up with fast-evolving entertainment topics, this tool provides instant visibility into what’s capturing people’s attention on YouTube and Google.
To use this endpoint, you must specify a keyword in the parameter.
{"Example Response":"No response example available for now."}
curl --location --request GET 'https://zylalabs.com/api/7868/youtube+keyword+data+extractor+api/12922/keyword+data&keyword=Required' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
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Authorization
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[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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The API returns a structured list of YouTube-related keywords based on user input. Each entry includes the keyword suggestion and its corresponding search volume, providing insights into trending topics and user interests.
The key fields in the response data include "keyword" (the suggested search term) and "search_volume" (the estimated number of searches for that keyword). This information helps users identify popular content ideas.
The response data is organized in a JSON format, typically as an array of objects. Each object contains fields for the keyword and its search volume, making it easy to parse and utilize in applications.
The API provides keyword suggestions and their search volumes, allowing users to explore popular queries related to specific topics. This data is useful for content creation and SEO strategies.
Typical use cases include identifying trending topics for YouTube videos, optimizing content for SEO, and researching audience interests. Marketers and creators can leverage this data to enhance their content strategies.
Data accuracy is maintained by combining Google Trends data with YouTube autocomplete queries. This dual-source approach ensures that the keyword suggestions reflect current user behavior and search patterns.
Users can customize their requests by specifying different keywords or phrases in the API call. This allows them to target specific topics or niches relevant to their content strategy.
Users can expect to see a range of keyword suggestions, often including variations of popular queries. Patterns may include "how-to" phrases, trending entertainment topics, and educational interests, reflecting current search trends.
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