StockX Listings Scraper

StockX Listings Scraper

The StockX Listings Scraper extracts product data from StockX based on search keywords and categories, capturing names, URLs, images, detailed pricing, condition, model, and category—ideal for market research and resale analysis.

ECOMMERCELEAD_GENERATIONAUTOMATIONApify

🚀 StockX Listings Scraper

Easily extract product listings from StockX based on search keywords and categories. The StockX Listings Scraper allows you to gather structured product data for market research and resale analysis.

✨ Features

  • 🏷️ Comprehensive Product Data: Retrieve product names, URLs, images, detailed pricing, condition, model, and category.
  • 🔍 Keyword & Category-Based Extraction: Provide search keywords and category filters to extract relevant product listings.
  • Fast & Efficient: Quickly gather sneaker, apparel, and collectible data for market insights and resale tracking.

🛠️ How It Works

  1. Enter Search Keywords & Category – Provide search terms and a category to refine the results.
  2. Run the Scraper – Start the process and receive structured product data instantly.

📊 Sample Output Data

The scraper provides structured JSON output with key product details. Example:

1[
2    {
3        "link": "https://stockx.com/nike-phantom-gx-2-academy-tf-blue-fury-white",
4        "image": "https://images.stockx.com/images/Nike-Phantom-GX-2-Academy-TF-Blue-Fury-White.jpg?fit=fill&bg=FFFFFF&w=140&h=100&fm=webp&auto=compress&q=90&dpr=2&trim=color&updated_at=1729144314",
5        "id": "0ec3d349-20e7-4bab-a844-4aca7951d104",
6        "name": "Blue Fury White",
7        "title": "Nike Phantom GX 2 Academy TF Blue Fury White",
8        "brand": "Nike",
9        "description": "",
10        "model": "Nike Phantom GX 2 Academy TF",
11        "condition": "New",
12        "productCategory": "sneakers",
13        "browseVerticals": ["shoes", "sneakers"],
14        "listingType": "STANDARD",
15        "traits": [
16            {
17                "name": "Release Date",
18                "value": "2024-07-22"
19            }
20        ],
21        "market": {
22            "state": {
23                "highestBid": {
24                    "amount": 20,
25                    "updatedAt": "2025-03-01T11:13:34Z"
26                },
27                "lowestAsk": {
28                    "amount": 83,
29                    "updatedAt": "2025-03-01T14:01:05Z"
30                },
31                "askServiceLevels": {
32                    "expressExpedited": {
33                        "count": 0,
34                        "lowest": null
35                    },
36                    "expressStandard": {
37                        "count": 0,
38                        "lowest": null
39                    }
40                }
41            },
42            "statistics": {
43                "annual": {
44                    "averagePrice": 112,
45                    "volatility": 0,
46                    "salesCount": 1,
47                    "pricePremium": 0
48                },
49                "last72Hours": {
50                    "salesCount": 0
51                },
52                "lastSale": {
53                    "amount": 112
54                }
55            }
56        }
57    },
58    {
59        "link": "https://stockx.com/nike-manoa-black",
60        "image": "https://images.stockx.com/images/Nike-Manoa-Black-Product.jpg?fit=fill&bg=FFFFFF&w=140&h=100&fm=webp&auto=compress&q=90&dpr=2&trim=color&updated_at=1738193358",
61        "id": "51780c5b-42e7-4f30-9896-0526165ddcfe",
62        "name": "Black",
63        "title": "Nike Manoa Black",
64        "brand": "Nike",
65        "description": "",
66        "model": "Nike Manoa",
67        "condition": "New",
68        "productCategory": "sneakers",
69        "browseVerticals": ["sneakers"],
70        "listingType": "STANDARD",
71        "traits": [
72            {
73                "name": "Release Date",
74                "value": "2019-01-01"
75            }
76        ],
77        "market": {
78            "state": {
79                "highestBid": {
80                    "amount": 61,
81                    "updatedAt": "2025-02-13T15:01:44Z"
82                },
83                "lowestAsk": {
84                    "amount": 112,
85                    "updatedAt": "2025-03-01T07:33:34Z"
86                },
87                "askServiceLevels": {
88                    "expressExpedited": {
89                        "count": 0,
90                        "lowest": null
91                    },
92                    "expressStandard": {
93                        "count": 0,
94                        "lowest": null
95                    }
96                }
97            },
98            "statistics": {
99                "annual": {
100                    "averagePrice": 85,
101                    "volatility": 0.128227,
102                    "salesCount": 61,
103                    "pricePremium": 0.089
104                },
105                "last72Hours": {
106                    "salesCount": 0
107                },
108                "lastSale": {
109                    "amount": 98
110                }
111            }
112        }
113    }
114]

Optimize your resale strategies with StockX Listings Scraper today! 🚀

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!