1-2days
Typical free sample turnaround after scope confirmation
Managed Data Service - E-commerce Product Data
E-commerce Data Scraping Services for Product and Marketplace Feeds.
Collect product catalogs, prices, stock status, sellers, promotions, ratings, reviews, images, specifications, and variants across approved marketplaces and DTC sites. Receive structured raw data in your own schema, destination, and agreed schedule.
Free sample in 1-2 business daysOne-time or scheduled deliveryCustom schema and QA rulesFrom $699/project
Share target URLs, required fields, markets, and output format. Every source list receives a feasibility review before sample or production collection begins.
9+
Core product, price, seller, stock, review, and source field groups
7source types
Marketplace and DTC examples, each subject to feasibility review
3public datasets
Inspectable ecommerce workflow proof on Kaggle and Hugging Face
About This Service
Octoparse E-commerce Data Scraping Services helps brands, retailers, marketplaces, and data teams collect structured raw product and commerce data from approved public sources. A project can cover product catalogs, prices, stock, sellers, promotions, ratings, reviews, images, specifications, variants, URLs, and capture timestamps across Amazon, Walmart, eBay, Temu, Shopee, Lazada, brand DTC stores, and other feasible sources. Octoparse scopes the fields, builds and maintains the collection workflow, applies agreed QA rules, and delivers the records to CSV, JSON, API, S3, Snowflake, BigQuery, database, or scheduled download. The service does not replace your analytics system; it supplies the structured raw data your team uses inside its own stack.
The hard part is not finding a product page. It is keeping every source usable in one schema.
Ecommerce teams need records that can enter a warehouse, catalog, pricing workflow, or internal model without rebuilding the extraction logic for every marketplace.
- One schema across inconsistent sourcesNormalize product names, brands, identifiers, variants, currencies, categories, and timestamps before the records enter your stack.
- Source maintenance without another internal projectOctoparse manages source-specific extraction and agreed QA checks while your team owns the downstream analysis and business logic.
- Only the fields and markets you actually needScope the source list, geography, field dictionary, volume, cadence, and delivery destination before production collection begins.
One scoped feed can carry more than price.
Product catalog
Titles, descriptions, brands, categories, identifiers, specifications, variants, and image URLs.
Price and availability
Observed price, currency, promotion labels, stock status, seller, source URL, and capture timestamp.
Ratings and reviews
Ratings, review counts, review text, reviewer-visible metadata, language, and publish date where available.
Marketplace context
Marketplace, store, seller, category path, product URL, listing status, region, and source-specific attributes.
Example data contract
Define the fields before the collection workflow is built.
Every project starts with a source list and field dictionary. The final schema can be narrower or broader than this example, depending on source availability and your downstream requirements.
source_siteproduct_urlproduct_idtitlebrandcategoryvariantpricecurrencystock_statussellerpromotionratingreview_countimage_urlcaptured_at
| Field | Description | Example value |
|---|---|---|
| product_id | Source-visible product identifier or agreed internal key | B08N5WRWNW |
| source_site | Marketplace, retailer, or DTC source | amazon.com |
| product_url | URL where the product record was observed | https://www.amazon.com/dp/... |
| title | Observed product listing title | Wireless noise-cancelling headphones |
| brand | Observed or normalized brand value | Example Brand |
| variant | Size, color, pack, model, or other visible variation | Black / 128 GB |
| price | Observed selling price at capture time | 29.99 |
| currency | ISO currency code for the observed price | USD |
| stock_status | Source-visible availability value | In Stock |
| seller | Observed marketplace seller or merchant | Marketplace Seller A |
| rating | Displayed aggregate product rating where available | 4.6 |
| captured_at | Timestamp for the collected record | 2026-07-22T09:00:00Z |
CSVExcelJSONREST APIWebhookAWS S3SnowflakeBigQueryDatabase pushScheduled download
Source scope
Global marketplaces, cross-border channels, and brand sites - reviewed source by source.
Website names are examples of sources Octoparse can assess. Coverage, fields, cadence, and permitted use are confirmed during feasibility review; no source is represented as universally available without qualification.
Delivery boundary: choose one-time, daily, weekly, or custom scheduled collection. Feasible cadence is scoped against source complexity, volume, fields, and QA requirements, then documented before production begins.
Public workflow proof
Inspect how difficult ecommerce records become structured outputs.
These public-safe case studies show collection, normalization, matching, validation, and delivery logic without exposing identifiable client data.
Hard-source ecommerce pipeline
Temu pricing and inventory workflow with 8M+ monthly records in Phase 1.
Review how a managed pipeline captured product, seller, price, inventory, and timestamp fields, applied QA controls, and delivered JSONL output into Snowflake.
Read the Temu pipeline case studyMulti-platform retail
Normalize and match product records across major retailers.
See the field alignment, candidate filtering, decision logic, and QA used before retail products become comparable.
Visual matching workflow
Resolve noisy marketplace candidates when identifiers and titles are not enough.
Inspect reject reasons, similarity signals, review queues, and structured outputs for a difficult ecommerce matching problem.
FAQ
Questions ecommerce data buyers ask before requesting a sample.
Start with one source list and one inspectable sample.
Share the marketplaces, product URLs, fields, markets, and output format you need. Octoparse will assess feasibility and return a scoped ecommerce data sample before a production commitment.
Free sample in 1-2 business days after scope confirmation | Projects from $699