What We Offer

CrawlFeeds extracts and delivers product images at scale from any e-commerce website. Through ImageHub โ€” our dedicated image platform โ€” over 1 million high-resolution product images are ready for immediate download, pre-tagged and categorised across furniture, fashion, beauty, shoes, and home decor.

Every image includes structured metadata: product category tag, source URL, primary/secondary view indicator, platform name, and download-ready file path. Images are delivered in an organised folder structure and are compatible with all major computer vision frameworks.

Pre-downloaded. Tagged. Ready to use.

No scraping infrastructure needed. Images are already extracted, deduplicated, and organised โ€” download a ZIP or sync directly to your S3 / GCS / Azure bucket.


Available Image Categories

Images are available by category tag across multiple e-commerce verticals:

Furniture & Home Decor
Sofas, beds, dining tables, lighting, storage โ€” from IKEA, Wayfair, and more
Fashion & Apparel
Clothing, accessories, and styles across multiple categories and demographics
Shoes & Footwear
Trainers, heels, boots, sandals โ€” multiple views per product
Beauty & Cosmetics
Lipstick, skincare, perfume, foundation โ€” Sephora, Ulta, and specialty retailers
Perfume & Fragrance
Bottles, packaging, and brand imagery across luxury and mass-market fragrances
Custom Category
Electronics, sports, jewellery, toys, food โ€” any site, any category, on request

AI & Machine Learning Use Cases

Object Detection

Train YOLO, Faster R-CNN, or DETR models to detect and localise product types in images. Pre-tagged categories provide ready-made class labels without manual annotation overhead.

Image Classification

Build product category classifiers using 1M+ labelled examples across furniture, fashion, cosmetics, and more. Far larger than most public benchmarks โ€” and domain-specific to e-commerce.

Visual Search Engines

Train visual similarity models and embedding networks (CLIP, SimCLR, ViT) to power "search by image" experiences. Real product images produce far better retrieval than stock photo datasets.

Recommendation Systems

Build visually-aware recommendation engines using image embeddings. Cross-category similarity, complementary product pairing, and style-based matching all require large, diverse product image training sets.

Generative AI & Diffusion Models

Fine-tune Stable Diffusion, DALL-E, or ControlNet on domain-specific product images for realistic product visualisation, virtual staging, and AI-generated e-commerce catalogues.

Style & Attribute Analysis

Extract colour palettes, style attributes, material types, and design patterns at scale. Power automated product tagging, trend detection, and catalogue enrichment pipelines.


Industry-Specific Applications

Fashion & Apparel

  • Virtual try-on model training โ€” consistent product-on-white backgrounds, multiple views
  • Trend detection โ€” track style changes across seasons from multiple retailers
  • Size & fit AI โ€” extract garment measurements and silhouette from imagery
  • Outfit recommendation โ€” visual style matching across tops, bottoms, and accessories
  • Counterfeit detection โ€” brand and product authentication via visual similarity
  • Catalogue automation โ€” auto-tag colour, pattern, and style from product images

Beauty & Cosmetics

  • Shade detection & matching โ€” train models to identify lip, eye, and foundation shades from packaging and swatch imagery
  • AR try-on โ€” virtual makeup application requires large product colour reference datasets
  • Ingredient label extraction โ€” combine with BeautyFeeds structured data for full product intelligence
  • Packaging recognition โ€” identify product in-store from camera feeds for price lookup or comparison
  • Visual review analysis โ€” match user-submitted photos to products for UGC moderation and matching
  • Brand consistency โ€” detect unauthorised repackaging or counterfeit listings across platforms

Furniture & Home Decor

  • Virtual room staging โ€” place products into room scenes using diffusion models trained on real furniture images
  • Visual search โ€” "find similar sofa" experiences require a large indexed furniture image library
  • 3D mesh generation โ€” multi-view product images are the primary input for single/multi-view 3D reconstruction
  • Style clustering โ€” categorise by mid-century modern, Scandi, industrial, etc. from visual features alone
  • Retail visual analytics โ€” planogram compliance and shelf layout analysis using labelled product images
  • Damage detection โ€” train defect classifiers on cleaned product images as negative examples

Retail & E-commerce

  • Competitor catalogue monitoring โ€” track visual presentation changes across competitor product listings
  • Automated A/B image testing โ€” train CTR prediction models using real product image variations
  • Image quality scoring โ€” classify images as hero, lifestyle, swatch, or packshot for catalogue enrichment
  • Cross-platform product matching โ€” match the same product across Amazon, Walmart, and eBay using visual fingerprinting
  • Sponsored image detection โ€” identify ad vs. organic product images in scraped SERP data
  • Inventory visual audit โ€” detect missing or wrong images in large product catalogues

ImageHub โ€” The Dedicated Image Platform

ImageHub is CrawlFeeds' dedicated platform for bulk product image access. Rather than building and maintaining a web scraping infrastructure, teams access a growing library of pre-downloaded, pre-tagged images instantly.

Instant Access

Images are already downloaded, verified, and organised. No waiting for a crawl job to complete.

Category Filtering

Filter by tag (furniture, shoes, lipstick, etc.) and source site before downloading โ€” get only what you need.

Primary & Secondary Views

Each product includes hero image and additional angle views โ€” critical for 3D reconstruction and multi-view models.

Cloud Sync

Sync directly to AWS S3, Google Cloud Storage, or Azure Blob Storage. ZIP downloads also available.

API Access

Integrate with your data pipeline via API. Filter, paginate, and download images programmatically.

Organised Structure

Folders organised by source site and category tag. Drop into your training pipeline without restructuring.

ImageHub by CrawlFeeds

1M+ product images ยท 10+ categories ยท ZIP download + API + cloud sync ยท New images added monthly


Custom Image Collection

Don't see your specific category or source site in ImageHub? CrawlFeeds extracts images from any e-commerce website on request. Specify:

Source Site
Any e-commerce URL
Category Filter
Specific product types
Volume
1K to 10M+ images
Output Format
JPEG, PNG, WebP, ZIP, S3

We have experience extracting images from Amazon, IKEA, Wayfair, Sephora, Ulta, Walmart, eBay, Etsy, ASOS, and hundreds of other retailers. Custom metadata (alt text, product title, price, category) can be included alongside images.


Get the Images

Pre-Downloaded
ImageHub Library

1M+ images ready now. Browse, filter by category and site, then download as ZIP or sync to cloud. Instant access after signup.

Open ImageHub
Custom Collection
Request Specific Images

Specify your site, category, volume, and format. We extract and deliver. Includes metadata, organised folder structure, and quality check.

Request a Quote

Frequently Asked Questions

CrawlFeeds provides 1M+ high-resolution product images from major e-commerce platforms including Amazon, IKEA, Wayfair, Sephora, and Walmart. Images are tagged by category (furniture, fashion, shoes, cosmetics, home decor, perfume) and available for immediate download via ImageHub.

Yes. All images are pre-tagged by product category, making them immediately usable for training object detection, image classification, visual search, and recommendation models in PyTorch, TensorFlow, JAX, and other frameworks.

Images can be downloaded as bulk ZIP files via the ImageHub platform. API access and direct cloud sync to AWS S3, Google Cloud Storage, and Azure Blob Storage are also supported. Filter by category and source site before downloading to get only what you need.

Yes. CrawlFeeds offers custom image extraction from any e-commerce website. Specify the site, category, volume, and format โ€” we crawl, extract, deduplicate, and deliver. Contact us for a quote.

Yes. Fashion image datasets include consistent product-on-white backgrounds, multiple product views, and attribute tags (colour, style, category) โ€” ideal for virtual try-on model training, style recommendation engines, and trend detection pipelines.

Images are available in JPEG, PNG, and WebP formats at the highest resolution offered by the source site (typically 800pxโ€“2000px). Each product includes primary hero image and secondary angle views, delivered in an organised folder structure by site and category.

Yes. Custom deliveries include structured metadata alongside images โ€” product title, price, category tag, source URL, alt text, brand, and more. Metadata is delivered as CSV or JSON in the same folder structure as the images.

Yes. CrawlFeeds provides both image data (via ImageHub) and structured product datasets (via the main datasets store). Both share common identifiers (product URL, source domain) so they can be joined for multimodal model training that uses both image and text inputs.

Ready to Access Image Datasets?

Browse 1M+ pre-tagged product images on ImageHub or request a custom collection from any site.