StockX Scraper

The StockX scraper opens the door to one of the most dynamic marketplaces in the world — a global platform for limited sneakers, apparel, accessories, collectibles, and electronics. Often called the “stock market of things,” StockX is a unique mix of marketplace and exchange, where the value of products is set by real-time demand and supply. If you’re looking for insights from one of the most influential resale platforms, collecting StockX data is the right step.

StockX Scraper
Solutions

Using the StockX Web Scraper for Data Collection

With the StockX web scraper by ScrapeIt, you don’t need to browse listings manually or pull scattered information. We gather the data you need — from product pages to market charts — and deliver it structured and ready to use.

Our team handles the full process: parsing listings, monitoring site changes, and exporting the results into the format you prefer. This way, you can focus on insights and decisions while we take care of reliable StockX data delivery.

What the StockX Scraper Extracts

When working with StockX, the most important value lies in its structured product and market data. Here’s what we can collect directly from the platform:

  • Product name, brand, and model
  • Release date and style code
  • Product categories (sneakers, streetwear, collectibles, electronics)
  • Retail price (original launch price)
  • Lowest ask and highest bid values
  • Recent sales and last sale price
  • Sales history and price fluctuations
  • Market activity charts and volume
  • Product images and descriptions
  • Sizes available and their respective bids/asks

What the StockX Scraper Extracts
Additional Insights from StockX

Additional Insights from StockX

Beyond core product listings, the StockX data scraper can capture supporting details that make analysis even more valuable:

  • Country-specific availability and shipping options
  • Market trends by product category or release year
  • Popularity rankings and “most viewed” items
  • Related products and cross-category links
  • Price premium or discount compared to retail
  • Historical charts for long-term trend analysis
  • SEO metadata, product URLs, and navigation hierarchy

About StockX

StockX.com is a global resale marketplace founded in 2015, now active across North America, Europe, Asia, and beyond. It specializes in limited sneakers, apparel, accessories, collectibles, and electronics — all authenticated before reaching buyers.

Often referred to as the “stock market of things,” StockX combines marketplace dynamics with an exchange-style trading model. Each item has a Bid (buyer’s offer) and an Ask (seller’s price), and a sale happens only when the two meet — just like on a stock exchange.

The platform supports multiple currencies, including USD, EUR, GBP, CAD, AUD, JPY, and CNY, and is available in several languages. This makes it a central hub for buyers, resellers, and trend watchers worldwide. With real-time price charts, market activity tools, and transparent sales history, StockX stands out from traditional e-commerce platforms.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for StockX Data Scraping

Customized scraping setup for StockX — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
+
+
+
+
+
+
+
Custom requirements
+
+
+
+
+
+
+
Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
+
+
+
+
+
Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
+
Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
-
+
+
+
+
+
+
Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
-
1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
-
Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
-
-
-
+
+
+
+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
-
-
-
-
-
+
+
Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
-
+
+
+
+
+
+
SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
-
+
+
+
+
+
+
Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
-
30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
-
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
icon-check

Data limits (rows): a 100+ row piece

icon-check

Iterations: 1

icon-check

Custom requirements: No

icon-check

Data lifetime: up to 3 month old

icon-check

Data quality checks: No

icon-check

Delivery deadline: 1 working day

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Sample Dataset

50
/ source
icon-check

Data limits (rows): up to 10%

icon-check

Iterations: up to 3

icon-check

Custom requirements: Yes

icon-check

Data lifetime: up-to-date

icon-check

Data quality checks: Yes

icon-check

Delivery deadline: 1-2 working days

icon-check

Output formats: CSV, JSON, XLSX

icon-check

Delivery options: e-mail

Get data sample

Why Businesses Benefit from a StockX Web Scraper

When you scrape StockX, you gain access to live market movements that reflect real buyer demand and resale value. This data is not just about individual product listings — it’s about understanding global trends in limited releases and consumer interest.

By collecting and structuring StockX data, you can benchmark prices, monitor product lifecycles, or analyze categories over time. A StockX web scraper helps turn raw market activity into insights that can guide retail strategies, reselling opportunities, and competitive research.

Our Blog

Reads Our Latest News & Blog

Learn how to use web scraping to solve data problems for your organization

How to Use Real Estate Web Scraping to Gain Valuable Insights

How to Use Real Estate Web Scraping to Gain Valuable Insights

December 12, 2023

Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

How to Scrape Amazon Data: Benefits, Challenges & Best Practices

September 27, 2022

Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

What is the Scraping Web Data for Sentiment Analysis & How it Helps Marketers and Data Scientists

September 13, 2022

The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.

scrapeit logo

About ScrapeIt

At ScrapeIt, we position ourselves as a company that provides data services tailored to real business needs. We don’t just build tools — we take on the job of collecting and preparing data so you can focus on strategy, not scraping.

Using our StockX scraper, we extract the information you need from one of the most influential resale platforms and deliver it in a format that fits seamlessly into your workflow. These services are fully managed: from monitoring site changes to ensuring reliable exports, everything is handled on our side.

FAQ

Can the product data be delivered in different formats?

Yes, we can prepare exports in CSV, Excel, or JSON depending on what works best for your workflow or internal systems.

How flexible is the extractor for StockX listings?

Our extractor can be adjusted to capture specific details — from bids and asks to sizes and sales history — so you receive exactly the product information you need.

Does StockX include reviews in its product pages?

Unlike retail sites, StockX does not use traditional customer reviews. Instead, it focuses on pricing history, sales volume, and market activity — all of which can be collected.

What makes StockX product data valuable for businesses?

Because StockX reflects real-time market dynamics, its product data offers insights into demand, resale value, and price trends that standard e-commerce sites don’t provide.

Can StockX product information be used for competitive research?

Yes. By analyzing product information such as bids, asks, and price history, you can benchmark against competitors, identify trends, and spot market opportunities.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
scrapiet

Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582