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Twitter Top Hashtags Scraper π
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
Pricing
from $2.99 / 1,000 results
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What does Twitter Top Hashtags Scraper do? π€
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.
Features β¨
- π Coverage of 60+ countries including US, UK, Japan, Germany, etc.
- π Detailed metrics including tweet counts and trending timestamps
- β±οΈ Flexible time range options: daily, weekly, monthly, or yearly trends
- π Fast and efficient data collection
- π Real-time top hashtags data
- πΎ Structured JSON output
Use Cases π±
- π Social Media Analytics
- π― Marketing Campaign Planning
- π Market Research
- π Trend Analysis
- π Global Social Listening
- π± Content Strategy Development
Output π
The actor provides detailed information for each top hashtag:
- Hashtag name
- Tweet count
- Record date
- Country
- Timestamp of data collection
Input Parameters ποΈ
| 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) |
Tips π‘
- Use proxy configuration for better reliability
- Adjust maxItems based on your needs
- Consider rate limiting and API usage guidelines
Input Example
A full explanation of an input example in JSON.
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.
