Twitter Trending Topics Scraper 🌎 avatar
Twitter Trending Topics Scraper 🌎

Pricing

$29.99/month + usage

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Twitter Trending Topics Scraper 🌎

Twitter Trending Topics Scraper 🌎

Developed by

EasyApi

EasyApi

Maintained by Community

Monitor Twitter trending topics across 60+ countries worldwide. Get real-time insights into what's buzzing on Twitter with tweet volumes and timestamps. Perfect for social media analysts, marketers, and researchers tracking global social trends. 🌎

0.0 (0)

Pricing

$29.99/month + usage

1

Total users

19

Monthly users

5

Runs succeeded

>99%

Last modified

5 months ago

Get real-time trending topics from Twitter across 60+ countries worldwide! 🌍 This actor helps you monitor what's trending on Twitter in different regions.

Features ✨

  • 📊 Scrapes trending topics from 60+ countries
  • 🔢 Shows tweet volume for each trending topic
  • ⏱️ Real-time data collection
  • 🎯 Country-specific targeting
  • 📈 Historical trend tracking
  • 🚀 Fast and efficient scraping
  • 💾 Clean, structured JSON output

Use Cases 📱

  • 📊 Social media trend analysis
  • 🎯 Marketing research
  • 📈 Content strategy planning
  • 🌍 Global trend monitoring
  • 📱 Social listening
  • 🔍 Market research
  • 📢 Campaign performance tracking

Input Parameters 🎛️

  • country - Select target country (e.g., "united-states", "japan", "united-kingdom")
  • proxyConfiguration - Proxy settings (recommended for better reliability)

Tips 💡

  • Use proxy configuration for better reliability
  • Run periodically to track trend changes
  • Combine with other social media actors for comprehensive analysis

Need help or have questions? Feel free to reach out! 🤝

Input Example

A full explanation of an input example in JSON.

{
"country": "united-states"
}

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.

[
{
"title": "Carti",
"tweetsCount": "40.2K tweets",
"country": "united-states",
"scrapedAt": "2024-12-16T08:29:04.138Z"
},
{
"title": "Sam Howell",
"tweetsCount": "Under 10K tweets",
"country": "united-states",
"scrapedAt": "2024-12-16T08:29:04.140Z"
},
...
]