Pricing

from $2.00 / 1,000 product listings

OrangeShine Listings Scraper

The OrangeShine Listings Scraper extracts product listings from OrangeShine.com, capturing wholesale prices, pack ratios, sizes, colors, fabric composition, country of origin, brand info, and images — ideal for product sourcing, assortment planning, and competitive pricing research.

Pricing

from $2.00 / 1,000 product listings

Rating

0.0

(0)

Developer

FalconScrape

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

E-commerce

Automation

Developer tools

You can access the OrangeShine Listings Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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          "category": {
            "title": "Category",
            "enum": [
              "women",
              "men",
              "kids",
              "shoes",
              "handbags",
              "accessoriesjewelry",
              "beauty",
              "home-decor"
            ],
            "type": "string",
            "description": "Which OrangeShine catalog category to scrape.",
            "default": "women"
          },
          "newArrivalsOnly": {
            "title": "New arrivals only",
            "type": "boolean",
            "description": "Scrape only the most recent arrivals in the category instead of the full catalog. Ideal for fast daily incremental runs.",
            "default": false
          },
          "scrapeDetails": {
            "title": "Scrape full product details",
            "type": "boolean",
            "description": "Enrich each product with full details: all images, color options, size/pack ratios, fabric composition, country of origin, restock/pre-order info and description. Slower and produces richer results.",
            "default": false
          },
          "maxItems": {
            "title": "Max items",
            "minimum": 1,
            "type": "integer",
            "description": "Maximum number of products to scrape. Use a small number for testing.",
            "default": 50
          },
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            "title": "Proxy configuration",
            "type": "object",
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              "useApifyProxy": true
            }
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              "userId": {
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              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
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              "status": {
                "type": "string",
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              "defaultKeyValueStoreId": {
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OrangeShine Listings Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for OrangeShine Listings Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

OrangeShine Listings Scraper API in Python

OrangeShine Listings Scraper API in JavaScript

OrangeShine Listings Scraper API through CLI

OrangeShine Listings Scraper API

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