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What product data collection involves
Product data collection is the structured gathering of product information — titles, brands, model numbers, specifications, variants such as size and colour, images, descriptions and availability — from publicly accessible sources or from supplier material you are entitled to use.
Unlike price monitoring, which tracks a few values on many checks, product data collection is about completeness and accuracy of the whole record. The goal is a catalogue you can import, compare or keep in sync, not a spreadsheet of half-filled rows.
A word on images and descriptions: they are often protected by copyright. We collect them where you have the right to use them — typically from your own suppliers or brands you are authorised to sell — or store them for internal reference and comparison rather than republishing.
Who needs product data at scale
- An e-commerce seller onboarding hundreds of supplier products and tired of typing specs into the store by hand.
- A multi-brand retailer keeping stock status and variant availability in line with what suppliers publish.
- A comparison or review site that needs consistent specifications across many brands.
- A D2C brand checking that resellers list its products with the correct specs and images.
- A B2B distributor turning manufacturers’ public product pages and datasheets into one normalised catalogue.
In each case the product information already exists somewhere. The work is collecting it reliably, putting it into one consistent shape, and refreshing it before it goes stale.
Deliverables
- A catalogue schema agreed with you: core fields, category-specific attributes and variant structure.
- Collectors for each source, handling category pages, pagination, variant selectors and detail pages.
- Normalised attributes — units, sizes and naming made consistent across sources, so a 15.6-inch laptop is not recorded three different ways.
- Images fetched and stored alongside records with clear file names and links to each product.
- Availability and change tracking so discontinued or out-of-stock items are flagged.
- Import-ready exports for platforms such as Shopify or WooCommerce, or for your own database.
Our delivery process
- Scope the catalogue. Which sources, which categories, which fields and how often data should refresh.
- Review sources. We check robots.txt, terms and page structure, and confirm image and content rights for your intended use.
- Design the schema. Attributes are defined per category, with rules for units and variants.
- Sample and approve. A sample of complete records is delivered for your review.
- Full collection. The collectors run across the full scope, with validation for missing or inconsistent fields.
- Refresh and maintain. Scheduled refreshes keep availability and specs current; changes are logged.
Tools we rely on
Collection runs on Python, with Scrapy for large catalogue crawls and Playwright for product pages whose variants or stock load via JavaScript. pandas normalises attributes and validates records. Images are downloaded at a controlled rate and stored in cloud storage or on your server.
Where a supplier offers a product feed or API you are entitled to use, we connect to that first. It is more reliable than scraping and easier on the source. Our API development team can also push the finished catalogue into your store automatically.
What affects timeline and effort
- Catalogue size — the number of products and sources.
- Attribute depth — a few core fields versus detailed category-specific specifications.
- Variant complexity — products with many size, colour or configuration combinations.
- Images — volume, resolution and storage needs.
- Refresh frequency — one-time collection versus daily availability updates.
- Destination — a CSV export is simpler than a live sync into a store.
A focused first phase — one category from one or two sources — is often the best way to start. It proves the schema and the import process on real data, and the remaining categories then follow the same pattern with less effort.
Frequently asked questions
Can you import the collected products straight into my store?
Yes. We can export in your platform’s import format or push records through its API, including variants, images and stock status.
Can I use competitors’ product images on my site?
Generally, no — product images and descriptions are usually protected by copyright. Use images from your own suppliers or brands you are authorised to sell. We can collect competitor data for internal comparison only.
How do you handle products with many variants?
We model variants explicitly — size, colour, configuration — with each variant’s own identifiers, price and availability, so the catalogue behaves correctly in your store.
How often is the data refreshed?
As often as the use case needs. Specifications change rarely, so they can refresh weekly, while availability can be checked daily.
What if a supplier provides a data feed?
We use it. An official feed or API is more reliable than scraping, and we can combine it with collected data where the feed is incomplete.
Talk to us about product data collection
Catalogue-scale product specs, images and availability, kept current without manual work.