01
Pricing & revenue
Compare the offer customers can see.
How do displayed prices and promotions change across matched products, sellers, markets, and time?
Current & regular price
Promotion & currency
Seller & location context
零售和电子商务
See the retail market beyond your own storefront.
Bring public product, price, promotion, seller, availability, shelf, and review observations into one source-linked data foundation—built for pricing, merchandising, marketplace, growth, operations, and data teams.
- 01Define the market
Priority products, source types, countries, locations, and page contexts.
- 02Inspect the record
Fields, matching rules, missing states, history, and representative output.
- 03Choose the handoff
Proxy control, API access, scheduled records, or a managed retail program.
Cross-functional decision coverage
Retail teams need one market view with product context intact.
Observed public data supports these decisions; it does not replace orders, internal inventory, margin, customer, or other first-party systems.
02
Merchandising & category
See where assortments expand, contract, or diverge.
Which brands, products, variants, attributes, and categories appear—or disappear—across the public shelf?
Product & variant identity
Category & attributes
First seen & last seen
03
Availability & fulfillment
Track the availability state shown to shoppers.
Where are matched products displayed as available, unavailable, shippable, or eligible for pickup?
Visible stock state
Pickup & shipping
Market or ZIP context
04
Digital shelf & growth
Measure discoverability with its query and page context intact.
Where do products and brands appear in public search and category results, and what content surrounds them?
Query or category
Position & sponsored state
Titles, images & attributes
05
Marketplace & brand operations
Keep sellers, offers, and public policy comparisons reviewable.
Which public sellers and offers appear for protected products, and which observations match customer-supplied review rules?
Seller & offer identity
Advertised price comparison
Source evidence & history
06
Customer insight & data products
Build reusable inputs without losing provenance.
Which ratings, reviews, product content, and longitudinal observations belong in research, BI, or AI workflows?
Ratings & review content
Specifications & media
URL, timestamp & schema
Public market scope
Define the public shelf you need to observe.
Start with the sources, page objects, and customer contexts that matter. Documented endpoints can accelerate common retail targets; other eligible public sources are validated with representative requests.
- Product references
- Country or local context
- Field dictionary
- Delivery destination
Inspectable retail data contract
One record model—from product identity to market observation.
Keep the entity, offer, source context, collection state, and quality metadata together. Exact fields depend on the source, page type, public presentation, product, and contracted scope.
01 · Identity
Know what was observed.
Source product ID, SKU, GTIN or UPC, MPN or model, brand, title, variant, pack, and customer catalog reference.
02 · Offer
Preserve the displayed commercial terms.
Current and regular price, currency, discount, promotion text, seller, fulfillment, and offer identifier where exposed.
03 · Availability
Retain the shopper-facing state.
Displayed availability, shipping, pickup, delivery estimate, and location context where supported.
04 · Catalog & feedback
Bring the product page into context.
Category, breadcrumbs, attributes, description, images, ratings, review counts, and public review content where in scope.
05 · Shelf
Keep discovery context attached.
Query or category, result position, sponsored state, page number, merchant offers, and related products when exposed.
06 · Evidence & quality
Make every observation traceable.
Source URL, collection time, requested country or local context, page type, observed state, missing reason, match method, and schema version.
Illustrative retail record—not customer data retail_observation.json
- catalog_ref
"WSA-DEMO-104"
- source_type
"marketplace"
- product_id
"MP-4821"
- match_state
"exact_identifier"
- variant
"graphite / 128 GB"
- observed_price
{ "value": 629, "currency": "EUR" }
- regular_price
{ "value": 679, "currency": "EUR" }
- seller
"Seller A"
- availability
"displayed_in_stock"
- context
{ "country": "DE", "device": "desktop" }
- captured_at
"2026-06-18T08:42:00Z"
- observed_state
"observed"
- schema_version
"retail.v1"
Source URL retained Required fields validated Context explicit
产品的身份和可比拟性
较量零售数据从产品身份开始.
在一个范围的源中,匹配规则被定义和根据你的目录验证. 精确的标识符是指标;正常化标题和属性帮助产生候选人;未解决的项目仍然可见,而不是被迫进行比较.
Exact identifiers
GTIN, UPC, MPN, model, retailer ID, or a supplied product reference.
Brand & model agreement
Normalized brand, model family, manufacturer, and explicit product naming.
Attribute comparison
Title tokens, size, color, capacity, unit, pack count, and other variant attributes.
Explicit result state
Exact, candidate, needs review, unmatched, or excluded—with the supporting cues retained.
跨源匹配和减倍是单独的范围的源或管理工作流功能;它们并不含有每个自动服务API响应.
清新,历史和质量
单独的收藏质量与零售意义.
一个可靠的数据库可以保存页面显示的内容,它在何时和何处被观察到,以及为什么没有值.描述性观察历史美国国家: 美国: 美国: 美国: 美国: 美国: 美国: 美国: 美国: 美国:
€700€650€600
Observed€679Observed€679Promotion€629Collection failed没有零售情况推断Observed€649
国家本书保持这些含义分开
观察到
The requested public page or object returned and required fields were evaluated.
Displayed out of stock
The source explicitly showed an unavailable or out-of-stock state in the requested context.
没有观察到
The requested item was not found in that capture. Not observed does not mean out of stock.
收藏失败
Access, rendering, parsing, or another collection step failed; no retail state should be inferred.
Match pending
An observation exists, but product or variant comparability still needs a rule or review.
What the data can show
Publicly displayed product, offer, seller, availability, fulfillment, shelf, content, rating, and review observations in a defined context.
What it cannot show by itself
Actual sales, demand, profit, private inventory, customer behavior, or why a retailer made a decision.
Who decides what happens next
Your team retains pricing, merchandising, enforcement, and other downstream decisions. WebScrapingAPI supplies the agreed public observations and delivery operation.
Four operating models
Choose the retail-data handoff your team can support.
Keep your retail collection stack, hand off access, receive structured records, or let us operate the contracted data program. The ownership boundary stays explicit.
Maximum stack control
Run your retail collectors through location-aware proxy infrastructure.
Your team owns crawling, rendering, extraction, product matching, schedules, history, quality, and delivery. WebScrapingAPI supplies the contracted proxy network features.
责任拥有者
Catalog, source scope, contexts & rules你的团队
Proxy routing, rotation & contracted location optionsWSA
Collectors, rendering, extraction & schema你的团队
Matching, scheduling, quality, maintenance & delivery你的团队
Analysis, pricing, merchandising & enforcement你的团队
Representative retail pilot
Prove the scope with records your teams can inspect.
No borrowed logos or unsupported performance claims. Validate the market slice, record contract, matching states, quality rules, cadence, ownership, and destination before scaling.
- 01 · Frame
Define the decision and shelf
Provide priority catalog items, public sources, markets, page types, fields, contexts, cadence, and downstream use.
- 02 · Sample
Collect representative records
Include normal offers, variants, promotions, seller changes, unavailable pages, collection failures, and unmatched products.
- 03 · Validate
Agree the data contract
Review field definitions, matching cues, missing states, source context, quality checks, history, and acceptance criteria.
- 04 · Operate
Launch the right handoff
Connect the API or contracted feed, assign ownership, monitor quality, maintain the agreed workflow, and route records.
Start with one category, a representative product set, and the markets that matter most.
Evaluation questions
What retail teams should confirm before collection begins.
Sources, fields, matching, cadence, location, ownership, delivery, and downstream boundaries—answered directly.
Which retail sources can WebScrapingAPI cover?
WebScrapingAPI documents structured endpoints for selected marketplaces and retailers, while eligible public retailer, marketplace, brand, search, category, product, seller, and review pages can be evaluated through the scraping and browser platform. Exact source, page-type, field, and context coverage is validated before production.
Can we begin with a small set of retailers and markets?
Yes. A representative pilot can start with priority products, sources, markets, page types, fields, and refresh windows before expanding the collection scope.
Which retail fields can be delivered?
Depending on the source and scope, records can include product identifiers, titles, brands, variants, prices, promotions, sellers, visible availability, fulfillment details, categories, attributes, images, ratings, reviews, search or category position, source context, timestamps, and quality states.
How are the same products matched across sources?
A scoped matching workflow can use exact identifiers first, then brand, model, normalized titles, attributes, units, pack sizes, and variant checks. Ambiguous or unmatched observations remain explicit for review. Matching is not implied for every self-service API response.
How fresh can retail observations be?
Self-service APIs return an observation when called. Scheduled and managed programs use an agreed cadence by source, field, and business need. Refresh feasibility is validated against the requested scope, and every delivered observation should retain its collection time.
Can historical changes be delivered?
A recurring feed can retain contracted price, promotion, availability, seller, content, and shelf observations over time. History begins when collection begins unless a separately validated historical source is included.
Can prices and availability be observed by location?
Country context is available across selected access products, and some retailer endpoints support more specific location inputs such as ZIP or postal context. Location support varies by source and product and must be validated during the pilot.
Who maintains collection when a retail source changes?
Proxy customers maintain their collectors and parsers. Web access API customers maintain their downstream extraction or comparison logic unless using a documented structured endpoint. WebScrapingAPI maintains the contracted collection, parsing, quality, source-change, and delivery workflow for scheduled or managed programs.
Can this data support pricing or MAP monitoring?
Observed public prices, promotions, sellers, and supplied policy thresholds can support customer pricing and MAP review workflows. WebScrapingAPI does not set prices, determine a legal violation, contact sellers, or perform enforcement.
How can retail records be delivered and governed?
Depending on the product and contract, data can be returned through APIs or delivered as structured files and supported cloud or agreed destinations. Production scope includes source eligibility, public-data boundaries, field definitions, retention, quality states, access controls, and ownership of downstream decisions.
Build your public retail data foundation
Validate product identity, offers, seller state, shelf position, and review fields for one market slice.
Share the catalog, public sources, markets, fields, cadence, matching needs, and destination. We’ll map the supportable route and produce representative records.