Every product image, every angle, delivered to your bucket
Capture high‑resolution product photos, thumbnails, variant‑specific images, 360‑degree spin sets, and embedded videos from any e‑commerce site. Our pipelines handle lazy loading, JavaScript galleries, and dynamic zoom — downloading, deduplicating, and mapping each file to the correct SKU so your catalog always looks complete.
{
"sku": "NB-574-GRY-9",
"images": [
{ "type": "main", "url": "s3://acme‑images/nb574‑grey‑main.jpg" },
{ "type": "variant", "color": "Grey", "url": "s3://acme‑images/nb574‑grey‑side.jpg" }
],
"count": 8
}
2,048 × 2,048 px
6 views for SKU‑48219
Image extraction pipelines running for
Your product catalog is only as good as its images
Product image extraction goes beyond scraping URLs — it captures the full visual story of every product. Our pipelines navigate JavaScript galleries, lazy‑loaded thumbnails, and variant‑specific swatches to find the highest‑resolution version of every photo, 360‑degree spin, and embedded video. All files are downloaded, deduplicated, and mapped to the correct SKU and variant.
Choose between a JSON manifest of image URLs (lightweight and fast) or full asset download and storage in your S3 bucket. Either way, images are organised and delivered ready to populate your product pages, marketplace listings, or marketing campaigns — without any manual screenshotting or cropping.
- Main product image, gallery, and zoom/alternate angles
- Variant‑specific photos (colour, material, style)
- 360‑degree spin sets and embedded product videos
- Handles lazy loading, JS galleries, and CDN redirects
- Delivered as URLs or actual files in your S3 bucket
Why manual image collection doesn't scale
Right‑clicking and saving gets old after the third product. Here's why automated image extraction is essential at catalog scale.
Images are buried behind JavaScript
High‑resolution photos often load only when a user clicks a thumbnail or zooms. A static scraper gets the low‑res placeholder — not the 2,000‑pixel asset your catalog needs.
Variant images are mapped dynamically
Selecting a different colour swaps the product image via JavaScript. Capturing every variant‑specific photo requires programmatic interaction with swatches — something manual collection can't keep up with.
Duplicate and watermarked images waste time
Marketplaces often reuse the same stock photo across 50 listings. Without deduplication and watermark detection, your team spends hours manually pruning irrelevant or unusable images.
An image pipeline that sees what users see
Every feature is built to capture the richest visual content — not just the first JPEG on the page.
Full‑resolution source capture
We intercept network calls and inspect srcset attributes to find the highest‑resolution image — often 2,000+ pixels on the longest side — and download it directly.
Variant‑ & gallery‑aware crawling
Our headless browsers click through colour swatches and gallery arrows, capturing every alternate view and every variant‑specific image — then map each one to the correct SKU and attribute.
Deduplication & watermark filtering
Perceptual hashing identifies duplicate and near‑duplicate images across products. Watermarks, placeholders, and generic logos are flagged or skipped — so only unique, usable assets are saved.
Organised S3 delivery
Images are saved to your bucket with any folder structure you define — by SKU, retailer, category, or date. A JSON manifest maps every file to its product and attribute.
sku: "NB-574-GRY-9"
capture:
main_image: yes
gallery: yes (all)
variant_images: yes (per colour)
min_width: 1000
output: "s3://acme‑images/{retailer}/{sku}/"
From product page to organised asset library
Image source audit
We reverse‑engineer how the target site loads images — CDN patterns, JavaScript triggers, and gallery behaviour — and plan the extraction strategy.
Pipeline & interaction build
Our engineers code the headless browser interactions: clicking thumbnails, cycling through variant swatches, and waiting for high‑res assets to load.
Sample delivery & validation
A representative set of products with their images is delivered to your S3 bucket. You review resolution, naming, and SKU mapping before full rollout.
Full production extraction
All products are processed. Ongoing monitoring detects new images and changed assets, keeping your library current without re‑downloading everything.
Deliverables for every image extraction project
Image source map & extraction strategy
A document detailing where images are sourced, how galleries and variants are triggered, and the proposed folder/naming structure — approved by your team.
Sample image library (500 products)
All images for a subset of products delivered to your S3 bucket, with a JSON manifest mapping files to SKUs and attributes for validation.
Full image library + asset runbook
Complete image library for the entire catalog, organised and deduplicated. A runbook covers update cadence, dedup rules, and how to add new products.
Weekly image update digest
Summary of new images detected, changed assets replaced, and any site‑side gallery changes handled — proactively shared with your team.
Flexible plans for any image volume
One‑Time Image Dump
Best for a single snapshot of all product images — ideal for a catalog migration or baseline asset library.
- Fixed scope & price
- All images downloaded & mapped
- Organised S3 delivery
Managed Image Feed
Ongoing extraction with scheduled refreshes and incremental updates — your image library stays current without manual effort.
- Weekly or daily image refresh
- New & changed image detection
- 99.9% SKU‑image mapping SLA
Enterprise Image Program
For unlimited SKUs, custom image processing rules, and dedicated support with private S3 delivery.
- Unlimited SKUs & images
- Custom watermark/quality filtering
- SSO, audit logs, quarterly reviews
Teams that live and die by product visuals
Marketplace Sellers
Populate your listings with high‑quality product images extracted from supplier or competitor sites — no manual screenshotting.
Fashion & Apparel
Capture every colour variant, fabric close‑up, and model shot — essential for a category where visuals drive conversion.
Home & Furniture
Extract room‑scene photos, dimension overlays, and material swatches — the visual detail that helps customers decide.
Electronics & Gadgets
Download product shots from every angle, packaging images, and size‑comparison photos — all mapped to model numbers.
Image extraction vs. manual collection
| Capability | Managed Image Extraction | Manual Right‑Click Save | Basic Web Scraping Script |
|---|---|---|---|
| Full‑resolution source capture | |||
| Variant‑specific image capture | |||
| Lazy‑load & JS gallery handling | |||
| Deduplication & watermark filtering | |||
| Organised S3 delivery per SKU | |||
| Time for 10,000 products | 2–3 days automated | Weeks | Days of scripting |
“Our catalog has never looked this good — and we didn't lift a finger”
"We needed variant‑specific images for 50,000 SKUs to launch a new marketplace storefront. ScraperScoop's pipeline captured every colour, every angle, and delivered them to our S3 bucket organised by SKU. The launch was flawless."
"The deduplication alone saved us 40 GB of storage and countless hours. We didn't realise the same stock photo was being used across 200 listings — they flagged them all and we only downloaded one copy."
"We used to have interns manually screenshotting product galleries. Now the pipeline grabs all 12 angles for every product automatically and drops them into our CMS. The ROI was immediate."
Images land where your content teams already work
Direct delivery to your cloud storage, CDN, or CMS — organised and ready to publish.
Get a fixed‑price quote for your image extraction project
Tell us the retailer, the number of products, and where you want the images delivered — we'll return a scope, price, and timeline within two business days.
Common questions about product image extraction
Your competitor's product images — downloaded, deduplicated, and ready for your catalog
Send us a retailer URL and we'll extract images for a sample of products and deliver them to your S3 bucket within two business days. No commitment — just proof that automated image collection works at scale.
Most image pipelines deliver the full library within 2–3 weeks of kickoff.
