FaceBook Trend Crawler (Pay Per Result)
Pricing
$7.00 / 1,000 results
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Deprecated
FaceBook Trend Crawler (Pay Per Result)
The Facebook Hashtag Analyzer is an Apify actor analyze trending hashtags on Facebook
Pricing
$7.00 / 1,000 results
Rating
0.0
(0)
Developer

Hung Dinh
Maintained by Community
Actor stats
1
Bookmarked
12
Total users
5
Monthly active users
10 months ago
Last modified
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Facebook Hashtag Analyzer ๐ฅ
Overview
The Facebook Hashtag Analyzer is an Apify actor analyze trending hashtags on Facebook. For each hashtag, it provides:
- Engagement metrics (views, likes, shares)
- Reasons for trending
- User demographics
- Cultural and social impact analysis
Features
- Analyzes up to 50 trending hashtags
- Supports multiple countries/regions
- Provides detailed engagement metrics
- Offers cultural context and significance
- Easy-to-read formatted output
Input Parameters
| Parameter | Type | Description |
|---|---|---|
| maxHashtags | Integer | Maximum number of hashtags to analyze (1-50, default: 10) |
| country | String | Two-letter country code (e.g., VN, US, JP) |
Example input:
{"maxHashtags": 10,"country": "VN"}
Output Format
The actor outputs each hashtag as a separate item with the following structure:
{"title": "๐ฅ #HashtagName","region": "VN","timestamp": "2024-03-16T...","details": {"engagement": "1M views, 100K shares","reason": "Why this hashtag is trending","demographics": "Main user groups","impact": "Cultural/social significance"}}
Requirements
- Python 3.9+
- Required packages: google-generativeai, apify, python-dotenv
Usage
- Configure the input parameters (maxHashtags and country)
- Run the actor
- Access the results in the actor's dataset
Example Results
{"title": "๐ฅ #WorldCup2023","region": "VN","timestamp": "2024-03-16T10:30:00Z","details": {"engagement": "10M views, 5M shares","reason": "Vietnam's historic World Cup qualification","demographics": "All age groups","impact": "National pride and unity"}}
Limitations
- Results may vary based on region and time
- Maximum 50 hashtags per run
Support
For issues, questions, or suggestions, please:
- Check the actor documentation
- Submit an issue on GitHub
- Contact Apify support