Search for specific keywords within a Twitter list's timeline. Combine the curation of lists with the precision of search.
Average response time: 100ms
const response = await fetch(
'https://scrapebadger.com/v1/twitter/lists/1234567/search_tweets?query=AI',
{ headers: { 'x-api-key': 'YOUR_API_KEY' } }
);
const results = await response.json();
results.data.forEach(t => console.log(t.text));{
"data": [
{ "id": "ls_001", "text": "New AI model achieves SOTA on...", "favorite_count": 450 }
],
"next_cursor": "list_search_cursor"
}/v1/twitter/lists/{list_id}/search_tweets| Parameter | Type | Required | Description |
|---|---|---|---|
list_id | string | Required | The numeric Twitter list ID |
query | string | Required | Search query to filter list tweets |
cursor | string | Optional | Pagination cursor for next page |
Monitor brand mentions, keywords, and conversations across Twitter in real time to understand public sentiment and emerging topics.
Aggregate top-performing content by topic or industry to fuel newsletters, social feeds, and content marketing calendars.
Analyze consumer conversations, product feedback, and market trends to inform product development and go-to-market strategies.
Detect emerging trends, viral content, and breaking news before they peak using real-time trending topic data.
Track competitor accounts, engagement rates, and content strategies to benchmark performance and identify opportunities.
Collect large-scale Twitter datasets for computational social science, NLP research, political analysis, and network studies.
The query supports basic keyword matching within the list's tweet timeline.
Yes. This searches only within tweets from list members, giving you a focused, curated result set.
Great for monitoring niche topics within curated groups — e.g., searching for "funding" in a VC list.
Yes. Use list search to find relevant tweets, then use tweet-level endpoints for deeper analysis.
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