Rating and review volume by item
Group reviews around a stable product or variant identity and a defined time window.
Public review intelligence
Review Monitoring that connects feedback to the right product or location.
Collect normalized ratings and public review text across selected sources, matched to the right product, brand, or location and preserved through every update.
Review use cases
Start with the entity behind the feedback.
Build separate, reliable views of product reviews, location reviews, rating aggregates, and review changes without losing source or capture context.
Product feedback
Connect every review to the correct item or variant.
Keep source product identifiers, variants, seller or offer context when available, rating, public text, review identity, and capture time in one record.
- Source product, variant, and review keys
- Rating, title, public text, and displayed date
- Current version and collection state
Source-aware review record
Keep every review connected to its source and subject.
Bring the source review, product or location, rating, public text, version, and capture context into one consistent record. Updates and duplicates stay manageable, and every aggregate remains explainable.
- review identity
- Source review ID, review URL, stable key, and version.
- entity identity
- Product, variant, company, location, or source place ID.
- review content
- Rating, title, public review text, and displayed review date.
- source context
- Source name, market, locale, requested page, and rating scale.
- capture context
- Capture time, collection state, content fingerprint, and schema version.
- history link
- Prior version, changed fields, and duplicate policy.
Customer-owned interpretation. Clean review records give your team reliable inputs for categorization, sentiment models, alerts, response workflows, and product decisions.
Comparable ratings
Compare ratings without flattening the context.
Keep the source, rating scale, entity, market, and capture window attached to every aggregate. Teams can compare products and locations while still understanding what each number represents.
Branch-level review snapshot
Compare locations with the source place, market, rating scale, and capture time attached.
Current state by review source
Preserve platform-specific scales and displayed count definitions for clearer reporting.
Ratings by score bucket
Calculate distributions from captured review records or supported displayed aggregates.
Review growth over time
Compare the same source and entity across a sequence of defined capture points.
Complete collection visibility
Keep observed, unavailable, failed, and excluded records visible to data-quality teams.
Review and rating history
See the record behind every trend.
Keep review versions and aggregate snapshots on separate, linked timelines. Analysts can move from a rating change to the individual reviews and public edits behind it.
Connect public edits to one review identity.
Retain earlier ratings and text, then label each new capture with an explicit state.
- Version 01New · rating 5 · first public text
- Version 02Changed · rating 4 · text revised
- Version 03Unchanged · same public version observed
Delivery options
Build the pipeline or receive maintained review data.
Choose proxy infrastructure for full control, web access APIs for maintained retrieval, recurring records for ongoing analysis, or Managed Data for an operated program.
Maximum control
Run your own review collectors and data model.
WebScrapingAPI supplies proxy access. Your team owns source requests, extraction, identity, normalization, history, maintenance, delivery, and downstream interpretation.
VerantwortungOwner
Proxy network accessWSA
Review-source requests and schedulingIhr Team von Experten
Review extraction, identity, and normalizationIhr Team von Experten
History, quality, and source-change maintenanceIhr Team von Experten
Interpretation, response, and decisionsIhr Team von Experten
For teams with established source collectors and review data engineering.
Explore proxy infrastructureFrom sources to recurring review data
Validate the record, then expand coverage.
Start with representative products or locations, verify the review matching and history, and connect the delivery cadence your team needs.
- 01 · wählen
Select sources and entities.
Name priority products, variants, companies, locations, markets, and locales.
- 02 · sample
Inspect real review records.
Review ratings, public text, entity matching, source context, and collection states.
- 03 · validate
Test versions and aggregates.
Confirm duplicate rules, public edits, rating counts, and product or location rollups.
- 04 · launch
Connect recurring delivery.
Select the cadence, history window, destination, and operating model.
Common questions
Plan your review monitoring program.
Understand the review record, entity matching, history, aggregation, delivery options, and inputs needed to start.
What is Review Monitoring?
Review Monitoring collects reviews from selected public sources and turns them into consistent records connected to the right product, brand, or location. Each record preserves review identity, rating, public text, source context, version, and capture time.
What does a review record include?
The record can include source and source review ID, product or location identity, review URL, rating, title, public review text, displayed review date, capture time, requested market or locale, record state, and schema version.
How are reviews matched and deduplicated?
Identity rules use available source IDs, review URLs, product or location keys, public timestamps, and content fingerprints. The project defines whether updated text or rating becomes a new version of the same review or a separate record.
Can ratings and review counts be aggregated?
Yes. Ratings and counts can be grouped by source, product or location set, market, and time window. Each aggregate retains its rating scale and capture context so analysts can compare like-for-like records.
Can Review Monitoring retain edits and history?
Yes. A stable review key can link new, changed, unchanged, unavailable, failed, and excluded observations while preserving prior rating and text versions for the selected history window.
Can I use the review records for sentiment analysis?
Yes. The normalized rating, public review text, source, entity, and capture context provide clean inputs for your taxonomy, sentiment model, thresholds, validation method, and reporting workflow.
Can one program cover both product and location reviews?
Yes. Product and location reviews can share a delivery pipeline while retaining separate entity keys, source identities, schemas, aggregates, and histories. That lets teams compare feedback without mixing unlike review objects.
Who owns responding to reviews and business decisions?
WebScrapingAPI supplies the selected collection and delivery layer. Your team owns interpretation, response, and business decisions, including escalation, outreach, moderation, operational changes, and customer communication.
Who maintains the collection when review pages change?
With scheduled datasets or Managed Data, WebScrapingAPI runs source collection, extraction, quality monitoring, history, source-change maintenance, and delivery. With proxy infrastructure or web access APIs, your team maintains selectors, normalization, identity rules, and monitoring workflows.
What should I send for a review sample?
Send representative public review sources, product or location identifiers, target markets and locales, and the fields you need. Add your preferred history window, aggregates, cadence, and delivery format for recurring monitoring.
Your review sample
See your sources become clean, connected review records.
Send representative review pages and the products or locations you want to monitor.