Rebag Luxury Resale Scraper
Pricing
Pay per event
Rebag Luxury Resale Scraper
Scrape normalized handbag and accessory resale listings from shop.rebag.com — clean designer, condition, price, SKU, image, and spec data per variant, straight from the public storefront feed.
Pricing
Pay per event
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Developer
DevilScrapes
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 hours ago
Last modified
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🎯 What this scrapes
Rebag is a well-known name in luxury handbag resale, and its Apify Store coverage is thin: jungle_synthesizer/rebag-luxury-resale-listings-scraper runs with just 4 users, and only 3 rivals name-match the target at all. This Actor talks to Rebag's public Shopify storefront JSON feed on shop.rebag.com — never the client-rendered, robots.txt-disallowed www.rebag.com/shop page — for normalized designer, condition, price, SKU/item-number, image, and spec data per variant (not per product, since price and availability live at the variant level), backed by a three-tier fallback (collection guess, free-text suggest, full-catalog browse) and per-product/variant fault isolation.
🔥 What we handle for you
- 🛡️ Browser fingerprint rotation —
curl-cffiimpersonates real Chrome / Firefox / Safari TLS handshakes, rotated across requests, so the target sees a browser, not Python. - 🌐 Proxy session rotation via Apify Proxy — fresh session and exit IP on every block.
- 🔁 Retries with exponential backoff on
408 / 429 / 5xx— up to 5 attempts per page,Retry-Afterhonoured. - 🧱 Product- and variant-level fault isolation — one malformed product or variant is skipped and logged, never crashes the run.
- 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, one row per variant so price and availability never get flattened away.
- 💰 Pay-Per-Event pricing — you only pay for results that hit your dataset. No data, no charge.
💡 Use cases
- Price-comps and arbitrage bots — pull normalized per-variant pricing and condition to feed a resale price model.
- Authenticators and appraisers — cross-reference SKU/item-number, brand code, and spec fields against a catalog of known listings.
- Resellers sourcing inventory — filter by designer and condition to shortlist candidates worth reselling elsewhere.
- Market researchers — track designer mix, condition distribution, and pricing trends across Rebag's resale catalog.
⚙️ How to use it
- Click Try for free at the top of the page.
- Fill in the input form — most fields have sensible defaults.
- Click Start. Output streams into the run's dataset.
- Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.
📥 Input
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
query | string | no | 'chanel' | Free-text designer/item query (e.g. 'chanel', 'chanel classic flap'). Slugified into a candidate collection handle… |
collectionHandle | string | no | None | Advanced override — exact Shopify collection handle (lowercase letters, digits, hyphens only), bypasses slugification… |
maxItems | integer | no | 200 | Cap on rows this run, across all pages/fallback. |
designerFilter | string | no | None | Case-insensitive substring match against the designer/vendor, applied post-fetch. |
conditionFilter | string | no | None | Case-insensitive substring match against the parsed condition (e.g. 'Very Good'), applied post-fetch. |
proxyConfiguration | object | no | {'useApifyProxy': True} | No proxy group forced by default — the live probe found no anti-bot posture on this target. |
Example input
{"query": "chanel","maxItems": 5,"proxyConfiguration": {"useApifyProxy": true}}
📤 Output
Every row is one dataset item.
| Field | Type | Notes |
|---|---|---|
listing_id | string | variant.id — unique key, not the product id. |
product_id | string | Product id. |
sku | ['string', 'null'] | variant.sku (Rebag's item number). |
title | string | Product title. |
designer | string | vendor (designer/brand). |
category | ['string', 'null'] | product_type. |
condition | ['string', 'null'] | Parsed from variant.option1/title, falling back to the bc-filter- |
color | ['string', 'null'] | variant.option2. |
price | ['number', 'null'] | variant.price, decimal string parsed to float. |
compare_at_price | ['number', 'null'] | variant.compare_at_price; null when not discounted. |
available | boolean | variant.available. |
primary_image_url | ['string', 'null'] | images[0].src. |
image_urls | array | All images[].src (empty OK). |
specs | object | Best-effort Label: value pairs parsed from body_html (empty OK). |
description_html | ['string', 'null'] | Raw body_html. |
tags | array | Product tags (empty OK). |
product_url | string | https://shop.rebag.com/products/{handle} |
published_at | ['string', 'null'] | Product published_at, ISO 8601 as returned. |
scraped_at | string | ISO 8601 UTC row-creation timestamp. |
Example output
{"listing_id": "45063759954097","product_id": "8212143341745","sku": "319168/1","title": "Women's Pointed Toe Pumps Satin and Lucite","designer": "Chanel","category": "Shoes","condition": "Very Good","color": "blue","price": 270.0,"compare_at_price": null,"available": true,"primary_image_url": "https://cdn.shopify.com/...","image_urls": ["https://cdn.shopify.com/..."],"specs": {"Model": "...","Exterior Material": "Satin","Exterior Color": "Blue","Interior Material": "Leather","Interior Color": "Blue","Brand Code": "G26724","Item Number": "319168/1"},"description_html": "<p>...<b>Condition:</b> Very good. ...</p>","tags": ["100-to-500","bc-filter-Great","bc-filter-Excellent","chanel","in-stock"],"product_url": "https://shop.rebag.com/products/shoes-chanel-womens-pointed-toe-pumps-satin-and-lucite-3191681","published_at": "2025-01-14T00:42:08-05:00","scraped_at": "2026-08-24T12:00:00+00:00"}
💰 Pricing
Pay-Per-Event — you pay only when these events fire:
| Event | USD | What it is |
|---|---|---|
actor-start | $0.05 | One-off warm-up charge per run |
result-row | $0.0012 | Per unique dataset item |
Example: 1 000 results at the rates above ≈ $1.25. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.
🚧 Limitations
v1 covers shop.rebag.com's public storefront JSON feed only — no authenticated/account-only data (order history, saved items), no historical price tracking, and no canonical closed list of condition values (Condition ships as free text since the platform's full vocabulary wasn't exhaustively confirmed). The specs field is a best-effort regex extraction from each product's description HTML — description_html always ships alongside it as the raw fallback.
❓ FAQ
Do I need a Rebag account or API key?
No. This Actor scrapes Rebag's own public Shopify storefront JSON feed — no login, no API key.
What happens if my query doesn't match a real collection?
We fall back to Rebag's free-text search endpoint (capped at 10 results by the platform itself) so you still get something instead of a guaranteed-empty run.
Why is one product several rows in my dataset?
Price, SKU, and availability live at the variant level (color, sometimes size), so we emit one row per variant, not one per product page.
Can I browse the whole catalog without a query?
Yes — leave Query and Collection handle both empty and we page through the full public catalog up to Max items.
💬 Your feedback
Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.