Infrastructure
Proxy routing, browser execution, retries, and usage controls are operational work.
Collect structured public review and rating data from Trustpilot, TripAdvisor, app stores, and Product Hunt for brand monitoring, customer insights, and competitor analysis.
The problem
Customer insights, reputation, product, and market intelligence teams need a consistent way to collect public review signals across brands, locations, apps, and products. Building that internally means maintaining multiple source-specific parsers and normalizing review text, ratings, authors, dates, and source context.
Proxy routing, browser execution, retries, and usage controls are operational work.
Raw pages must become stable records before products and data teams can use them.
Use-case landing pages should map directly to buyer workflows and internal data models.
Structured public web data workflows still need clear legal, privacy, and platform boundaries.
What you can collect
Example fields may include public review, rating, company, app, place, product, and source context fields where supported.
Relevant Crawlora APIs
Start from the platform page or endpoint docs, then test the same route in Playground before production integration.
Business profile, review, category, related business, and search workflows.
OpenCollect public Trustpilot business reviews where supported.
OpenRetrieve public business profile and rating context.
OpenFind business units for reputation workflows.
OpenCollect public travel and venue reviews where supported.
OpenRetrieve public Apple App Store review records.
OpenRetrieve public Google Play review records.
OpenCollect public Product Hunt detailed reviews where supported.
OpenExample workflow
Crawlora keeps the scraping execution layer behind documented APIs so your product can focus on storage, analysis, alerts, and user workflows.
01
Choose brands, apps, venues, products, competitors, and review platforms to monitor.
02
Call source-specific Crawlora endpoints for public reviews, ratings, and profile context.
03
Store review text, rating, source, date, entity, locale, and category fields together.
04
Run alerts, sentiment, topic extraction, competitor comparison, or AI summaries.
API example
Illustrative example using the documented Trustpilot business reviews route. Check Docs for current parameters and response fields.
GET https://api.crawlora.net/api/v1/trustpilot/business/example/reviews
x-api-key: YOUR_API_KEY{
"code": 200,
"msg": "OK",
"data": [
{
"rating": 5,
"title": "Example review",
"text": "Public review text...",
"date": "2026-01-01"
}
]
}What you can build
These are practical workflow patterns for SaaS products, data teams, AI agents, agencies, growth teams, and internal intelligence tools.
Track public review volume, ratings, and themes for saved companies.
Compare public feedback patterns across brands, apps, products, and venues.
Route review text into product, support, and research systems.
Feed structured review records into analytics and AI summarization.
Notify teams when rating distributions or review topics shift.
Normalize review signals across Trustpilot, app stores, travel, and product surfaces.
Build or buy
Custom scrapers can work for prototypes. Production web data workflows need infrastructure, monitoring, stable output, and clear failure behavior.
| DIY approach | Crawlora approach |
|---|---|
| Maintain separate review collectors for every source | Use documented review workflows across supported platforms |
| Normalize ratings, review text, dates, and entities yourself | Receive structured review records from endpoint-specific APIs |
| Build review ingestion and retry logic | Use managed execution, documented errors, and API-key usage tracking |
| Prepare raw review pages for AI analysis | Send cleaner JSON records into topic, sentiment, and summary pipelines |
Infrastructure
Crawlora combines platform-specific APIs with managed proxy routing, browser-backed rendering, retries, rate limits, usage tracking, and scaling controls.
Responsible use
Handle public review data responsibly. Avoid exposing unnecessary personal information, respect privacy expectations, and comply with applicable laws, platform terms, third-party rights, and Crawlora terms. Read Crawlora terms.
Related use cases
Cross-link practical workflows that often share the same data infrastructure and product buyers.
FAQ
Answers for developers and product teams evaluating Crawlora for this workflow.
This use case maps to Trustpilot, TripAdvisor reviews, App Store reviews, Google Play reviews, and Product Hunt reviews where supported by the current catalog.
Yes. Trustpilot business, business search, related business, and review workflows can support public brand reputation monitoring.
Yes. App Store and Google Play review records can be stored beside Trustpilot, TripAdvisor, and Product Hunt review signals in downstream systems.
Yes. Structured review records are useful for sentiment, topic extraction, clustering, summaries, and alerting workflows.
Yes. You can collect public review snapshots for competitor brands, apps, venues, or products where supported and lawful.
Minimize personal data exposure, respect privacy obligations, and retain only what is appropriate for the workflow and applicable rules.
Start building
Browse Crawlora APIs, test a request in Playground, and move from scraping infrastructure work to production data workflows.