Twitter Lists Search Scraper π
Pricing
from $4.99 / 1,000 results
Twitter Lists Search Scraper π
Efficiently scrape and extract Twitter lists data. Find curated lists by keywords, including list names, URLs, subscriber counts, and descriptions. Perfect for social media researchers, marketers, and content creators looking to discover targeted Twitter communities. π
Pricing
from $4.99 / 1,000 results
Rating
0.0
(0)
Developer
EasyApi
Maintained by CommunityActor stats
2
Bookmarked
47
Total users
2
Monthly active users
4 days ago
Last modified
Categories
Share
π€ What does Twitter Lists Search Scraper do?
This actor helps you discover and extract Twitter lists data. It's perfect for social media researchers, marketers, and anyone interested in finding curated Twitter lists around specific topics or keywords.
β¨ Features
- π― Search Twitter lists by keywords
- π Extract list details including name, URL, subscriber count, and member count
- π Get list descriptions
- β‘ Fast and efficient data collection
- π Automatic pagination handling
- π‘οΈ Built-in proxy support
π§ Input Parameters
query- The search term to find relevant Twitter listsmaxResults(optional) - Limit the number of results
π‘ Use Cases
- π― Market Research: Find influential Twitter lists in your industry
- π Competitor Analysis: Discover curated lists of industry players
- π Content Discovery: Find relevant content sources
- π¨ Community Building: Identify potential community members
πͺ Benefits
- Save hours of manual Twitter list research
- Discover highly relevant, curated content sources
- Build targeted audience lists
- Stay updated with industry-specific information
Input Example
A full explanation of an input example in JSON.
{"query": "btc","maxResults": 100}
Output sample
The results will be wrapped into a dataset which you can always find in theΒ StorageΒ tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
[{"object_id": "1249473692842823682","topic": "BTC Long term","url": "twitter.com/i/lists/1249473692842823682","primary_image": {"original_info": {"url": "https://pbs.twimg.com/media/GkIPUqRX0AAGDxg.png","height": 375,"width": 1125,"focus_rect": {"h": 1,"w": 1,"x": 200,"y": 200}}},"supporting_text": "Some crypto traders that I have learnt from over the past couple of years","facepile_urls": [{"profile_image_url_https": "https://pbs.twimg.com/profile_images/1782380912384090113/haek5E45_mini.jpg"},{"profile_image_url_https": "https://pbs.twimg.com/profile_images/1875205359650099200/ZjOGOjof_mini.png"},{"profile_image_url_https": "https://pbs.twimg.com/profile_images/2002382867092156418/mCqW1z7e_mini.jpg"}],"result_contexts": [{"result_context": {"display_string": "2.1K followers including @earnwithsapna","types": [{"type": "followers_context"}]}},{"result_context": {"display_string": "19 members","types": [{"type": "members_context"}]}}],"searchQuery": "btc","scrapedAt": "2026-05-29T02:51:34.334Z"},...]