The API has been designed to provide a detailed and structured view of each post, making it an essential tool for users who want to understand and optimize their social media presence.
Upon receiving a tweet ID or associated data, the API returns a complete set of metrics and attributes. These include the tweet text, creation date, language, content sensitivity, and display range. It also provides comprehensive user information such as name, username, verification, profile picture, and additional features that help to better contextualize the origin of the message.
One of the most relevant aspects is engagement metrics, such as the number of likes, retweets, replies, quotes, and views, which are essential indicators for measuring the impact of a post. The API also provides details on associated conversations, the number of comments, and whether the tweet is part of a thread, allowing for a more in-depth analysis of user interaction.
The API also manages embedded media information, such as photos and videos, delivering URLs in different formats, resolutions, and metadata, which expands the possibilities for visual content analysis. All of this is complemented by structured data on hashtags, mentions, and links, which are key to understanding the spread of the message and its reach within the network.
Analyzes individual tweets, returning text, user, interaction metrics, media, and conversational context, ideal for social monitoring and digital analysis.
{"success":true,"data":{"tweet":{"id":"1967591664886984789","text":"TSLA up $69 to ~$420 as foretold in the prophecy https://t.co/6uZfOIMPyO","created_at":"2025-09-15T14:09:43.000Z","lang":"en","possibly_sensitive":false,"display_text_range":[0,48]},"user":{"id":"44196397","name":"Elon Musk","username":"elonmusk","verified":false,"blue_verified":true,"profile_image_url":"https://pbs.twimg.com/profile_images/1936002956333080576/kqqe2iWO_normal.jpg","profile_image_shape":"Circle"},"engagement":{"likes":225780,"retweets":0,"replies":0,"quotes":0,"views":0,"conversation_count":12257},"media":[{"type":"photo","url":"https://pbs.twimg.com/media/G05KMFhbsAAjRRZ.jpg","width":1187,"height":1525,"thumbnail_url":"https://pbs.twimg.com/media/G05KMFhbsAAjRRZ.jpg","display_url":"pic.x.com/6uZfOIMPyO","expanded_url":"https://x.com/elonmusk/status/1967591664886984789/photo/1"}],"hashtags":[],"mentions":[],"urls":[],"conversation":{"reply_count":0,"is_thread":true},"edit_control":{"editable_until":"1757948983000","is_edit_eligible":true,"edits_remaining":"5"}}}
curl --location --request GET 'https://zylalabs.com/api/10339/tweet+analytics+api/19891/tweet+fetcher&tweet_id=Required' --header 'Authorization: Bearer YOUR_API_KEY'
Get complete details about a tweet, including text, user, engagement metrics, attached media, and conversational context on social media.
{"success":true,"data":{"tweet":{"id":"1967591664886984789","text":"TSLA up $69 to ~$420 as foretold in the prophecy https://t.co/6uZfOIMPyO","created_at":"2025-09-15T14:09:43.000Z","lang":"en","possibly_sensitive":false,"display_text_range":[0,48]},"user":{"id":"44196397","name":"Elon Musk","username":"elonmusk","verified":false,"blue_verified":true,"profile_image_url":"https://pbs.twimg.com/profile_images/1936002956333080576/kqqe2iWO_normal.jpg","profile_image_shape":"Circle"},"engagement":{"likes":226015,"retweets":0,"replies":0,"quotes":0,"views":0,"conversation_count":12265},"media":[{"type":"photo","url":"https://pbs.twimg.com/media/G05KMFhbsAAjRRZ.jpg","width":1187,"height":1525,"thumbnail_url":"https://pbs.twimg.com/media/G05KMFhbsAAjRRZ.jpg","display_url":"pic.x.com/6uZfOIMPyO","expanded_url":"https://x.com/elonmusk/status/1967591664886984789/photo/1"}],"hashtags":[],"mentions":[],"urls":[],"conversation":{"reply_count":0,"is_thread":true},"edit_control":{"editable_until":"1757948983000","is_edit_eligible":true,"edits_remaining":"5"}}}
curl --location --request GET 'https://zylalabs.com/api/10339/tweet+analytics+api/19892/tweet+analytics&tweet_id=Required' --header 'Authorization: Bearer YOUR_API_KEY'
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.
The GET Tweet Fetcher returns detailed information about individual tweets, including text, user details, engagement metrics, media, and conversational context. The GET Tweet Analytics endpoint provides a comprehensive overview of a tweet, encompassing similar data along with additional insights into user interactions and media attributes.
Key fields include tweet text, creation date, language, engagement metrics (likes, retweets, replies), user information (name, username, verification status), media URLs, and contextual data such as hashtags and mentions.
The response data is structured in JSON format, with nested objects for user details, engagement metrics, and media information. Each tweet's attributes are clearly delineated, allowing for easy parsing and analysis of the data.
Users can specify parameters such as tweet ID, user ID, and engagement metrics to customize their requests. This allows for targeted data retrieval based on specific tweets or user interactions.
Typical use cases include social media monitoring, digital marketing analysis, academic research on social trends, and content strategy optimization. Users can leverage engagement metrics to assess tweet performance and audience interaction.
Data accuracy is maintained through continuous updates from Twitter's API, ensuring that the information reflects the most current state of tweets and user interactions. Quality checks are implemented to filter out erroneous or outdated data.
Users can analyze engagement metrics to gauge tweet performance, identify trending topics through hashtags, and assess user influence by examining verification status and follower counts. This data can inform content strategies and audience engagement efforts.
Users can expect consistent data patterns, such as engagement metrics typically being higher for tweets with media attachments. Additionally, tweets in threads often show increased replies and retweets, indicating deeper user interaction.
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