Access Twitter's crowd-sourced fact-checking notes on any tweet. Get note text, helpfulness ratings, and classification data for misinformation research.
Average response time: 75ms
const response = await fetch(
'https://scrapebadger.com/v1/twitter/tweets/tweet/1234567890/community_notes',
{ headers: { 'x-api-key': 'YOUR_API_KEY' } }
);
const notes = await response.json();
notes.data.forEach(n => console.log(n.text, n.status));{
"data": [
{
"id": "note_001",
"text": "This claim is misleading. According to...",
"status": "CURRENTLY_RATED_HELPFUL",
"created_at": "2025-01-15T14:00:00Z"
}
]
}/v1/twitter/tweets/tweet/{tweet_id}/community_notes| Parameter | Type | Required | Description |
|---|---|---|---|
tweet_id | string | Required | The tweet ID to get community notes for |
Collect large-scale Twitter datasets for computational social science, NLP research, political analysis, and network studies.
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Detect and track PR crises, service outages, and negative viral moments in real time to enable rapid response.
Community Notes (formerly Birdwatch) is Twitter's crowd-sourced fact-checking system where users add context to potentially misleading tweets.
No. Only tweets that have been flagged and reviewed by community note contributors will have notes attached.
Yes. Community notes data is valuable for misinformation research, media studies, and understanding fact-checking patterns at scale.
Notes can be CURRENTLY_RATED_HELPFUL, NEEDS_MORE_RATINGS, or CURRENTLY_RATED_NOT_HELPFUL based on contributor consensus.
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