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Review Scraper API was a developer-facing product listed on Product Hunt on September 5, 2018. It promised one standard JSON response format for reviews gathered from more than 50 review sites, and it named Amazon, Tripadvisor, Yelp, Capterra, G2 Crowd and Trulia as examples. That listing is historical. Its vendor link now redirects to Datashake’s homepage, where the company describes a much broader social and review data platform covering 150+ sources. Nothing we checked in early October 2026 confirms that the original Review Scraper API is still sold as a separate product, or that it still covers the same sites.
What the 2018 listing promised
The Product Hunt page describes Review Scraper API as an API for using reviews inside applications. Its core promises were:
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- Output format: a standard JSON response, so each review arrives in a predictable structure rather than in each site’s own layout.
- Coverage claim: reviews from more than 50 review sites, with six named examples: Amazon, Tripadvisor, Yelp, Capterra, G2 Crowd and Trulia.
- Category: the listing files the product under data analysis tools and unified API.
- Launch date: September 5, 2018. The page currently shows no user reviews.
The 50+ figure is product copy from the listing. It is not an independently verified count, and the listing does not say when that coverage was measured. Treat it as what the vendor advertised in 2018, not as what you will get today.
Why normalized cross-site review data is useful
Review sites rarely agree on structure. One platform may use a five-star scale, another a percentage, another thumbs-up counts. Dates, reviewer names, reply threads and product identifiers all vary. Collecting the same kind of information from several sites therefore means writing and maintaining a separate parser for each one, and each parser breaks when a site changes its page layout.
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A normalized feed moves that work to the provider. The application reads one schema, so a dashboard can compare sentiment across a retailer’s marketplace listing, a travel site and a software directory without custom code for each source. Analytics teams benefit in the same way, because aggregation, trend charts and deduplication run against consistent fields. The trade-off is that the provider decides which fields survive normalization. If a field you need is dropped or flattened, the convenience comes at a cost, which is why the verification list below matters.
What Datashake says today
Datashake is the company that now owns the vendor link from the 2018 listing. Its homepage, as checked in early October 2026, positions the company as a social and review data infrastructure provider rather than a standalone review scraper. The company’s current claims include:
- A unified API covering 150+ sources, including social media, review sites, app stores, forums, e-commerce platforms and ratings directories.
- Normalized data, with archive search and real-time collection.
- Filtering by date range, language and source type, plus duplicate detection.
- Use cases including customer experience, reputation management, retail, marketing automation, social listening, trend detection, crisis monitoring, competitive analysis, client reporting, due diligence and risk assessment.
The homepage’s FAQ says collection is limited to publicly available data that can be accessed without logging in. Those are vendor statements about the current platform. They do not show that the 2018 Review Scraper API endpoint still exists, and they do not show that the current platform keeps the same six named sites or the original 50+ list.
2018 listing versus current vendor claims
| Aspect | 2018 Product Hunt listing | Datashake homepage (checked October 2026) |
|---|---|---|
| Positioning | An API for using reviews in applications | Social and review data infrastructure |
| Source coverage | More than 50 review sites; six examples named | 150+ sources across social media, review sites, app stores, forums, e-commerce and ratings directories |
| Output | Standard JSON response | Normalized data delivered by API, webhooks or direct feeds |
| Collection modes | Not stated on the listing | Archive search and real-time collection |
| Filtering and deduplication | Not stated on the listing | Filters for date range, language and source type; duplicate detection |
| Pricing | Not stated on the listing | Credit-based, billed on data consumed; custom proposals; no per-seat fees; no published price list |
| Current status | Listing shows no user reviews; vendor link redirects to Datashake’s homepage | Current company site; availability of the legacy product not confirmed |
Figures and how to read them
Every number below comes from a vendor or from a listing, and none has been independently benchmarked in the sources we found. Carry the qualification with each figure when you quote it.
| Figure | Attributed to | Date context | Qualification |
|---|---|---|---|
| 50+ review sites | Product Hunt product listing | 2018 launch listing; no coverage date given | Listing copy, not an independently verified count |
| 150+ sources | Datashake homepage | Observed October 2026; no publication date stated | Vendor claim about the current platform, across all source types |
| 5+ years of historical data | Datashake homepage | Observed October 2026; no publication date stated | Vendor claim; historical depth per source is not stated |
| 98.3% uptime | Datashake homepage | Observed October 2026; no measurement period stated | Vendor-stated; the measurement window and service definition are not stated |
We found no dated, independent study or benchmark that tests these figures. Do not present them as third-party results.
What to verify before you buy or build on it
Because the 2018 listing is historical and the current vendor page leaves key terms open, use the following checklist with Datashake directly before committing to an integration:
- Exact sources and regions. Confirm whether Amazon, Tripadvisor, Yelp, Capterra, G2 Crowd and Trulia are available today, and for which countries, languages and review types.
- Legacy status. Ask whether the Review Scraper API endpoint or its JSON schema still exists, or whether you would be onboarded to the current platform.
- Fields and pagination. Request a sample response showing every review field, how reply threads appear, and how pagination and cursors work.
- Historical depth. Ask how far back each source goes, since the 5+ year figure is not broken down by source.
- Refresh and latency. Ask how often each source refreshes and how long real-time collection takes from publication to delivery.
- Limits and reliability. Ask for rate limits, error codes and retry behavior, and for the measurement window and definition behind the 98.3% uptime figure.
- Quality and deduplication. Ask how duplicates are detected, and whether the normalization step alters ratings, dates or text.
- Retention and permitted use. Confirm how long data is stored, and what downstream uses, including redistribution and client reporting, your contract allows.
- Cost at your volume. Ask for a custom proposal based on your expected data consumption, and use the free benchmark test with your own queries before you commit.
If you are comparing the service with other review-data providers, use the same checklist for each vendor. The sources we reviewed do not supply enough head-to-head detail to rank them.
Connecting the service to your application
Datashake says technical teams can integrate through an API, webhooks or direct feeds. An API suits on-demand queries from an application. Webhooks suit alerts when new reviews match a filter. Direct feeds suit bulk loading into a data warehouse. Which route fits depends on your volume and latency needs, and the vendor has not published a reference architecture for any of them on the pages we checked.
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- Use an API call when your application needs reviews for a specific product or location on demand.
- Use webhooks when a support or brand team needs to know about new negative reviews quickly.
- Use direct feeds when an analytics team needs a complete historical dataset for modelling.
Whichever route you choose, store the raw response alongside the normalized record. If a source changes its layout or the vendor alters its schema, the raw copy lets you re-check results and trace where a difference came from.
Frequently Asked Questions
Is Review Scraper API a physical product sold on Amazon?
No. It is a digital API service. Amazon appears only as one of the review sites named in the 2018 Product Hunt listing, and the sources we checked do not describe any hardware, book or accessory tied to the product.
Does the service collect reviews that sit behind a login?
Datashake’s homepage says collection is limited to publicly available data that can be accessed without logging in. Confirm with the vendor how that applies to each source you need, because a site’s public pages can change over time.
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