Retrieve full Twitter Articles (long-form content) including title, body text, embedded media, and author information.
Average response time: 85ms
const response = await fetch(
'https://scrapebadger.com/v1/twitter/tweets/article/art_123456',
{ headers: { 'x-api-key': 'YOUR_API_KEY' } }
);
const article = await response.json();
console.log(article.data.title, article.data.body);{
"data": {
"id": "art_123456",
"title": "The Future of Web Scraping",
"body": "Long-form article content here...",
"author": { "username": "writer", "name": "Tech Writer" },
"created_at": "2025-01-10T08:00:00Z"
}
}/v1/twitter/tweets/article/{article_id}| Parameter | Type | Required | Description |
|---|---|---|---|
article_id | string | Required | The article ID to retrieve |
Aggregate top-performing content by topic or industry to fuel newsletters, social feeds, and content marketing calendars.
Collect large-scale Twitter datasets for computational social science, NLP research, political analysis, and network studies.
Track how news stories propagate on Twitter, measure story amplification, and identify key distributors of information.
Analyze consumer conversations, product feedback, and market trends to inform product development and go-to-market strategies.
Monitor brand mentions, keywords, and conversations across Twitter in real time to understand public sentiment and emerging topics.
Track competitor accounts, engagement rates, and content strategies to benchmark performance and identify opportunities.
Twitter Articles are long-form posts (formerly Twitter Notes) that allow users to write content exceeding the character limit with rich formatting.
Yes, any publicly published article can be retrieved by its ID.
Yes. Embedded images in the article body are included as URLs in the response.
Article IDs appear in tweet data when a tweet links to an article. You can also find them via the Get User Articles endpoint.
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