Twitter Lists Search Scraper 🔍

Twitter Lists Search Scraper 🔍

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. 🔍

SOCIAL_MEDIAApify

🤖 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.

✨ Features

  • 🎯 Search Twitter lists by keywords
  • 📊 Extract list details including name, URL, subscriber count, and member count
  • 📝 Get list descriptions
  • ⚡ Fast and efficient data collection
  • 🔄 Automatic pagination handling
  • 🛡️ Built-in proxy support

🔧 Input Parameters

  • keyword - The search term to find relevant Twitter lists
  • maxItems (optional) - Limit the number of results
  • proxyConfiguration (optional) - Proxy settings for the scraper

💡 Use Cases

  • 🎯 Market Research: Find influential Twitter lists in your industry
  • 📊 Competitor Analysis: Discover curated lists of industry players
  • 🔍 Content Discovery: Find relevant content sources
  • 🎨 Community Building: Identify potential community members

💪 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.

1{
2    "keyword": "btc",
3    "maxItems": 100
4}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage 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.

1[
2	{
3		"name": "@KyleFromOhioCom/btc-enthusiasts",
4		"url": "https://twitter.com/KyleFromOhioCom/lists/btc-enthusiasts",
5		"subscribers": "46",
6		"members": "2805",
7		"description": ""
8	},
9	{
10		"name": "@CElston/cryptocurrency",
11		"url": "https://twitter.com/CElston/lists/cryptocurrency",
12		"subscribers": "33",
13		"members": "742",
14		"description": "BTC, Bitcoin, LTC. Litecoin, Altcoins, etc."
15	},
16    ...
17]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!