Compare Hermès bag prices by condition

Build a normalized public-price dataset for Birkin and Kelly listings across four marketplaces to compare asking prices alongside condition buckets.

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Hermes Birkin/Kelly & Chanel Classic Cross-Platform Arbitrage
Hermes Birkin/Kelly & Chanel Classic Cross-Platform Arbitragekazkn/hermes-birkin-kelly-arbitrage
🏷️ Type
Scraped at
🛍️ Platform
Platform listing id
+33 fields
Text
Number
Boolean
List
Object

Input

🛍️ Marketplaces to scan:vestiaire+3
👜 Bag models:birkin+1
🧮 Max listings per marketplace:40
📄 Max pages per marketplace:1
🧾 Include unmatched listings:true

Output fields

🏷️ Type
Scraped at
🛍️ Platform
Platform listing id
👜 Listing
Model
Size
Color bucket
Material bucket
Hardware bucket
Condition bucket
💵 Price
💱 Currency
Match key
🔎 Match mode
🧩 Relaxed fields
Match eligibility
Confidence score
Gross spread
Gross spread percent
Sell platform
🧮 Fee model
Estimated net sell value
Estimated platform fee
Estimated payment fee
Estimated plan cost
📈 Net ROI %
⚠️ Message
Query
Page
Total listings
Opportunity count
Spread candidate count
Watchlist candidate count
Unmatched count
Platform error count
🔗 URL

How it works

Sign up on Apify01

Create your Apify account to access the Hermes Birkin/Kelly & Chanel Classic Cross-Platform Arbitrage.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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