Effortlessly scrape Twitter's most tweeted hashtags from 60+ countries worldwide. Get real-time insights into top social media topics with detailed metrics including tweet counts and timestamps. Perfect for social media analytics, market research, and content strategy planning. πππ
This actor scrapes top Twitter hashtags across 60+ countries worldwide. It provides real-time insights into the most tweeted hashtags in different regions, helping you stay on top of social media conversations and viral topics.
The actor provides detailed information for each top hashtag:
Parameter | Type | Description |
---|---|---|
country | String | Country code for top hashtags (e.g., "united-states") |
dateType | String | Time range for data ("day", "week", "month", "year") |
proxyConfiguration | Object | Proxy settings (optional) |
A full explanation of an input example in JSON.
1{ 2 "country": "united-states", 3 "dateType": "day" 4}
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.
1[ 2 { 3 "hashtag": "#LINΠ", 4 "tweetsCount": "556.4K", 5 "recordDate": "17 hours ago", 6 "country": "united-states", 7 "scrapedAt": "2024-12-16T09:23:38.447Z" 8 }, 9 { 10 "hashtag": "#SNME", 11 "tweetsCount": "183.1K", 12 "recordDate": "22 hours ago", 13 "country": "united-states", 14 "scrapedAt": "2024-12-16T09:23:38.448Z" 15 }, 16 { 17 "hashtag": "#njSSE", 18 "tweetsCount": "12.5K", 19 "recordDate": "Now", 20 "country": "united-states", 21 "scrapedAt": "2024-12-16T09:23:38.451Z" 22 }, 23 ... 24]
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.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!