# Rebag Scraper - Pre-Owned Luxury Resale (`lulzasaur/rebag-scraper`) Actor

Scrape Rebag.com pre-owned luxury listings (handbags, watches, jewelry, accessories) via its open Shopify JSON API. Search by brand or keyword. Extract title, brand, category, price, condition, image, URL, and SKU. Ideal for resale price research, arbitrage, and market analytics.

- **URL**: https://apify.com/lulzasaur/rebag-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Rebag Scraper

Scrape pre-owned luxury listings from [Rebag](https://www.rebag.com) — authenticated resale handbags, watches, fine jewelry, shoes, apparel, and accessories from brands like Chanel, Hermès, Louis Vuitton, Gucci, Prada, Rolex, and more.

The Actor reads Rebag's public Shopify catalog and returns clean, structured records for each listing — perfect for **resale price research, arbitrage sourcing, market analytics, and inventory monitoring**.

### What it does

- Search by **brand** (`chanel`, `hermes`, `louis vuitton`, `gucci`, `rolex`, …) — pulls the full paginated brand catalog.
- Search by **keyword / model** (`birkin`, `speedy`, `neverfull`, …) — falls back to Rebag's on-site search.
- Optional **price range** filtering.
- No proxy required — fast and reliable.

### Output fields

| Field | Description |
|-------|-------------|
| `title` | Product title |
| `brand` | Brand / maison (vendor) |
| `category` | Product category (e.g. "All Bags", "Shoes", "Jewelry") |
| `price` | Current price (USD) |
| `compareAtPrice` | Original / compare-at price if on sale |
| `condition` | Condition grade and notes (e.g. "Very good. Touch ups on midsoles…") |
| `available` | Whether the item is in stock |
| `sku` | Rebag SKU / style number |
| `image` | Primary product image URL |
| `url` | Direct link to the listing |
| `listingId` | Shopify product ID |
| `handle` | Product URL slug |
| `publishedAt` / `updatedAt` | Timestamps |
| `searchQuery` | The query that produced this record |
| `scrapedAt` | Scrape timestamp |

### Input

```json
{
  "searchQueries": ["chanel", "hermes"],
  "maxListings": 100,
  "minPrice": 500,
  "maxPrice": 5000,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

- **searchQueries** (required) — list of brands or keywords.
- **maxListings** — max results per query (0 = as many as available, up to 1000).
- **minPrice / maxPrice** — optional USD price filters.
- **proxyConfiguration** — optional; not needed for normal use.

### Example output

```json
{
  "title": "Classic Double Flap Bag Quilted Caviar Medium",
  "brand": "Chanel",
  "category": "All Bags",
  "price": 6295.00,
  "compareAtPrice": null,
  "currency": "USD",
  "condition": "Good. Light scratches and marks on hardware. Minor wear on corners.",
  "available": true,
  "sku": "123456/1",
  "image": "https://cdn.shopify.com/s/files/1/0384/0161/files/...jpg",
  "url": "https://shop.rebag.com/products/handbag-chanel-...",
  "searchQuery": "chanel"
}
```

### Legal / usage

Scrapes only publicly available product data. Respect Rebag's Terms of Service and applicable laws. Not affiliated with or endorsed by Rebag.

# Actor input Schema

## `searchQueries` (type: `array`):

Brands or keywords to scrape from Rebag (e.g. 'chanel', 'hermes', 'louis vuitton', 'rolex', 'birkin'). Brand names use Rebag's full collection catalog (paginated). Non-brand keywords fall back to on-site search. Each query produces a separate set of results.

## `maxListings` (type: `integer`):

Maximum number of listings to scrape per query. Set to 0 for as many as available (up to 1000).

## `minPrice` (type: `integer`):

Only include listings priced at or above this amount (USD).

## `maxPrice` (type: `integer`):

Only include listings priced at or below this amount (USD).

## `proxyConfiguration` (type: `object`):

Proxy settings. Rebag's Shopify JSON API is accessible without a proxy; enable one only if you hit rate limits at scale.

## Actor input object example

```json
{
  "searchQueries": [
    "chanel"
  ],
  "maxListings": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "chanel"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/rebag-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchQueries": ["chanel"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/rebag-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "chanel"
  ]
}' |
apify call lulzasaur/rebag-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lulzasaur/rebag-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/XxusN246AsITwYQ6c/builds/OCTZdPiscfGdh7tAp/openapi.json