Automating Market Intelligence: How to Scrape Mulebuy Reddit Data with Google Apps Script
2025-08-01
In the fast-paced luxury resale market, platforms like Mulebuy
Key Components of the Mulebuy Tracker
- Reddit API Integration: Fetches post metrics (upvotes, comments) for target items
- Natural Language Processing: Detects price mentions and condition descriptors
- Time-Series Database: Organizes daily snapshots in Google Sheets
- Visualization Engine: Auto-generates heat index charts
Step-by-Step Script Implementation
1. Reddit Data Extraction
The script uses Reddit's JSON API endpoint to retrieve submissions:
function fetchRedditData() {
const subreddit = "FashionReps";
const searchQuery = "Mulebuy+Dior+Book+Tote";
const apiUrl = `https://www.reddit.com/r/${subreddit}/search.json?q=${searchQuery}&restrict_sr=1`;
try {
const response = UrlFetchApp.fetch(apiUrl, {muteHttpExceptions: true});
const json = JSON.parse(response.getContentText());
return json.data.children.map(item = {
return {
title: item.data.title,
upvotes: item.data.ups,
comments: item.data.num_comments,
created: item.data.created_utc,
url: item.data.url
};
});
} catch (e) {
Logger.log("API Error: " + e);
return [];
}
}
2. Trend Analysis Algorithm
The weighted popularity index combines multiple metrics:
- Post engagement (0.4 weight)
- Price fluctuation mentions (0.3 weight)
- Comparative references to other sellers (0.2 weight)
- Listing frequency (0.1 weight)
Cross-Referencing with Yupoo Suppliers
Sync script with Mulebuy's approved supplier network:
| Item | Reddit Heat Score | Supplier Price (USD) | Price Trending |
|---|---|---|---|
| Dior Book Tote SM 16×12×15cm | 84/100 | $289 | ↑ 3.2% WoW |
Operational Benefits
Managers reported these improvements after deployment:
"Our order accuracy improved by 67% after implementing this tracking system. We now anticipate price movements before they appear in our supplier feeds."
Performance Optimization Tips
For scripts scanning multiple subreddits:
- Set proper triggers (every 6-12 hours sufficient for most use cases)
- Implement exponential backoff for API errors
- Cache results in Sheet's hidden tabs to prevent quota issues