32 Degrees Datasets
Use our 32 Degrees dataset to access product data from the apparel brand known for base layers, covering thermals, cooling tees, outerwear, and loungewear. Records include product titles, descriptions, brands, categories, prices and sale prices, availability, variants, star ratings, review counts, and reviews. Ideal for apparel brands, retailers, and pricing analysts tracking everyday basics and base layers.
Available 32 Degrees Datasets
217+
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32 Degrees Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
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Smart data updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need".
Dataset bundles
Gain greater value by purchasing two or more datasets together, with exclusive discounts.
Volume discounts
Get more for less with significant savings when purchasing large datasets or updates subscriptions.
Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset.
32 Degrees dataset sample
The 32 Degrees dataset includes comprehensive eCommerce product information with product titles, detailed descriptions, brand names, product categories, category tree structures, unique item identifiers, variant identifiers, and direct product URLs. Each record provides the full context needed for product analysis and competitive research. This data structure supports pricing analysis, category optimization, and competitive benchmarking.
Power AI Agents Instantly
Our 32 Degrees datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
32 Degrees datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable 32 Degrees data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
32 Degrees dataset use cases
Basics price benchmarking
Men's and women's range mapping
Size and color depth
Seasonal assortment monitoring
32 Degrees Dataset FAQs
How often is the 32 Degrees dataset updated?
The 32 Degrees dataset is available with flexible refresh schedules: one-time, bi-annual, quarterly, monthly, weekly, or daily - with deeper discounts for higher-frequency subscriptions (up to 80% off on monthly plans). You can also choose between pre-collected data (instantly available, collected within the last days to months) or freshly collected data gathered on-demand at the time of your order. The freshness window can be defined before checkout.
Can I purchase a subset of the 32 Degrees dataset?
Yes. You can filter the 32 Degrees dataset to include only the records and data fields you need - by geography, timeframe, category, or any supported field - using Bright Data's AI-powered filter tool or the Filter Dataset API. You only pay for the records in your filtered snapshot, which can substantially reduce cost. Filters support operators like equals, includes, greater than, is null, and more, with up to 3 levels of nested logic.
What formats and delivery options are available for the 32 Degrees dataset?
The 32 Degrees dataset is delivered in your choice of JSON, NDJSON, JSON Lines, CSV, XLSX, or Parquet, with optional .gz compression. Delivery destinations include: Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Snowflake, Google PubSub, SFTP, Webhook, or Email. You can also download directly via the Control Panel (up to 5 GB) or retrieve programmatically via the Snapshot Download API. For snapshots larger than 5 GB, download links are sent by email.
Can I get a free sample of the 32 Degrees dataset before purchasing?
Yes. Every dataset in the Bright Data Marketplace - including the 32 Degrees dataset - offers a downloadable data sample at no cost. You can preview the data schema, field definitions, and a representative set of records to evaluate quality, coverage, and relevance before committing to a purchase. Samples are available directly from the dataset page in the Bright Data Marketplace.
Can I request specific data fields or a custom version of the 32 Degrees dataset?
Yes. You can customize the 32 Degrees dataset to include only the specific fields you need, hiding irrelevant columns to reduce cost and simplify integration. For more advanced needs - such as a proprietary data schema, enriched fields, or a source not currently in the marketplace - Bright Data's team can build a custom dataset tailored to your requirements. Contact the sales team to discuss your use case.
How does the 32 Degrees dataset integrate with my existing systems and workflows?
The 32 Degrees dataset is built for seamless integration. You can pull data programmatically using the Marketplace Dataset API (with SDKs available for Python and JavaScript), push results directly to your data warehouse or cloud storage, or connect via native integrations with tools like Snowflake, AWS, Google Cloud, Databricks, and automation platforms like Zapier, Make.com, and n8n. The async workflow (trigger - poll - download) makes it easy to embed into any pipeline.
Is the 32 Degrees dataset ethically sourced and legally compliant?
Yes. All Bright Data datasets - including 32 Degrees - are collected exclusively from publicly available online sources in compliance with applicable laws and regulations, including GDPR, CCPA, and Bright Data's own Code of Ethics. Bright Data holds ISO 27001 certification and is SOC 2 compliant. Data undergoes rigorous quality assurance before delivery. You can review Bright Data's full compliance posture at the Trust Center.
What does the 32 Degrees dataset cost, and are there volume discounts?
Pricing for the 32 Degrees dataset starts at $250 for 100K records (approximately $0.0025 per record) for a one-time purchase. Subscription plans unlock significant savings: up to 25% off bi-annual, 50% off quarterly, and 80% off monthly refresh plans. Volume tiers are available for 100K, 500K, 1M, 5M, and 20M+ records. Dataset bundles (purchasing two or more datasets together) and smart update options (paying only for new or changed records) provide additional savings. For enterprise-scale pricing, contact the Bright Data sales team.
What is a snapshot, and how does the 32 Degrees dataset delivery process work?
When you order the 32 Degrees dataset - or filter it via API - Bright Data generates a snapshot: a point-in-time export of your selected records. The async workflow runs as follows: (1) your order or API call triggers the collection job; (2) you can poll the job status using the snapshot ID; (3) once complete, you download the snapshot via the API or your configured delivery destination. Snapshot metadata (including error codes and initiation type) is accessible via the Snapshot Metadata API.
Can I use the 32 Degrees dataset for AI and machine learning projects?
Yes. The 32 Degrees dataset is structured and validated for immediate use in AI and ML workflows, including LLM fine-tuning, model training, RAG pipelines, and agent knowledge bases. Data is delivered in standard ML-ready formats (JSON, Parquet, NDJSON) with consistent schemas and documented field definitions accessible via the Dataset Metadata API. Bright Data also offers specialized AI data packages and a web archive with 50+ PB of historical data for large-scale pre-training.
What fields does one 32 Degrees record include?
One record in the 32 Degrees dataset corresponds to a single entity — for example, one person profile, one product listing, one post, or one company — depending on the dataset type. Each record contains all the data fields collected for that entity in a single row or JSON object. The exact fields vary by dataset: for example, a LinkedIn profile record includes fields such as name, current title, company, location, experience history, education, skills, and connections count (42 fields total), while an Amazon product record includes title, brand, ASIN, price, availability, ratings, reviews count, and seller details. You can view the full list of fields — along with descriptions and data types — in the Data Dictionary tab on this page, or download a free sample to inspect a representative set of real records before purchasing. If you need only a subset of fields, you can hide irrelevant columns at checkout to reduce cost and simplify integration.
How many 32 Degrees records do I need?
The number of records you need depends on your use case. As a general rule, one record equals one entity (one person, one product, one post, one company, etc.). Here are common reference points to help you estimate:
- Proof of concept / MVP: 100K records ($250 one-time) is typically sufficient to validate a model, test a pipeline, or build an initial dataset.
- Mid-scale analysis: 500K to 1M records covers most market research, competitive intelligence, or training data projects.
- Production pipelines: 5M to 20M+ records are suited for large-scale AI training, enterprise enrichment, or full-market coverage.
If you are unsure, download the free sample from this page to understand record density and field coverage, then use the AI-powered filter tool to scope your dataset by geography, category, date range, or other criteria. You will see an estimated record count before committing to a purchase. For complex use cases or large volumes, contact the sales team for a scoped recommendation.