Roketfy
AI review analytics and marketplace data tooling for brands selling on Trendyol, Hepsiburada and Amazon.
Roketfy has repositioned from an Etsy seller toolkit into marketplace data and review-analytics infrastructure, and that's a much better fit for brands and CX teams than for solo sellers. The combination that earns its keep is the Data Engine API plus the VoC AI Suite: if you sell on Trendyol, Hepsiburada or Amazon, you can pull product, review, search and price data as JSON into your ERP and route the same review signal to product and marketing. Multi-location F&B brands and hotels get industry-shaped analysis (Early Warning, Voice of Guest) that standalone CX suites don't shape for them. It is not for individual Etsy sellers hunting a cheap listing checker, and anyone wanting to compare
Verified 4d ago · liveness 60/100 · cite: rightaichoice.com/tools/roketfy
- Multi-location restaurant and F&B brands tracking dine-in and delivery reviews
- Hotel and hospitality groups consolidating guest reviews across channels
- Omnichannel marketplace brands tracking product-level quality and R&D signals
- Engineering teams pulling Trendyol, Hepsiburada or Amazon data into ERP or CRM
- Individual Etsy sellers looking for a cheap listing checker or keyword research tool
- US DTC brands whose review workflow lives entirely inside Shopify
- Solo sellers who want to compare plans and self-serve without a sales conversation
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Skip Roketfy if you sell solely on Etsy or Shopify and want a self-serve listing checker you can buy today without a sales call.
The public price signal we found is a Summer Sale with 40% off monthly and 83% off annual premium plans — the size of that annual gap means month-to-month billing costs materially more, so budget for the annual
Pricing isn't published on the pages we scraped, and the vendor's blog is the only public price signal: a Summer Sale with 40% off monthly and 83% off annual premium plans, which indicates an annual commitment is dramatically cheaper than month-to-month. Position it against standalone marketplace-data scraping APIs on one side and CX-oriented review-analytics suites on the other — Roketfy's pitch is that you don't pay for both, but you'll need a scoping call to compare the actual number.
In short
Roketfy — AI review analytics and marketplace data tooling for brands selling on Trendyol, Hepsiburada and Amazon. Best for Multi-location restaurant and F&B brands tracking dine-in and delivery reviews, Hotel and hospitality groups consolidating guest reviews across channels, Omnichannel marketplace brands tracking product-level quality and R&D signals. Contact Sales pricing.
What's new in Roketfy
Checked 4 days agoAcross the latest 1 update: 1 pricing change.
Viability Score
How well maintained and how widely used is Roketfy? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Marketplace listing optimization for titles, descriptions and image strategy
- Marketplace SEO analysis with ideal title length checks and high-volume keyword detection
- AI product attribute enrichment with cross-validation of missing or inconsistent catalog fields
- 360° customer review imports from Trendyol, Hepsiburada, Amazon and Google into one hub
- Display imported marketplace reviews on your own e-commerce site
- Voice Of Customer Content: AI-assisted product descriptions, key highlights and FAQ drafts from reviews and Q&As
- Early Warning review monitoring for multi-location F&B, tracking dine-in vs delivery reviews side by side
- Voice of Guest review consolidation for hotels across Tripadvisor, Booking.com, Trivago, Hotels.com and ETS Tur
- Product & R&D review tracking that filters out shipping and seller noise
- Category Radar analysis of themes, comparisons, emerging trends and unmet needs across top-100 bestseller reviews
- Roketfy Data Engine API returning product, review, search and price data as structured JSON
- Single API integration to feed marketplace data into ERP, CRM or internal tools
- MCP Server for e-commerce data
- Sentiment and category benchmarking dashboards
- Trend analysis for category and competitor research
About Roketfy
Roketfy is an AI customer review analytics and e-commerce data platform. Its Marketplace Listing and Catalog Tools write product titles, descriptions and image strategies that match marketplace rules and category search language on Trendyol and other marketplaces, and its Attribute Creation Technology uses AI to cross-check and fill missing or inconsistent product attributes across large catalogs — the site shows a 'Whte' → 'White' colour correction and an empty material field filling to '100% Cotton'. A 360° Customer Reviews layer imports reviews from Trendyol, Hepsiburada, Amazon and Google into one hub and lets you display them on your own e-commerce site, while Voice Of Customer Content turns real reviews and Q&As into AI-assisted product descriptions, key highlights and FAQ drafts. Above that sits the VoC AI Suite — four industry-specific products: Early Warning for multi-location F&B brands tracking dine-in against delivery reviews, Voice of Guest for hotels pulling Tripadvisor, Booking.com, Trivago, Hotels.com and ETS Tur reviews into one view, Product & R&D for omnichannel brands filtering shipping and seller noise out of product-quality signal, and Category Radar for themes, comparisons and unmet needs across the top 100 bestseller reviews. For developers, the Roketfy Data Engine is an e-commerce data API returning Trendyol, Hepsiburada, Amazon and Google product, review, search and price data as structured JSON (e.g. GET /v1/trendyol/product-detail), designed to feed an ERP, CRM or internal tool through one integration, plus an MCP server for e-commerce data. Pricing is not published on the pages we scraped; the vendor's blog announced a Summer Sale with 40% off monthly and 83% off annual premium plans, which tells you premium tiers exist and are sold on a demo-led motion.
Behind the Verdict
Roketfy is best understood as three products sharing one data spine rather than a single SEO tool. The spine is the Data Engine: one API returns Trendyol, Hepsiburada, Amazon and Google product, review, search and price data as structured JSON, documented on the site with a working cURL example (GET /v1/trendyol/product-detail with a bearer token). If your team's problem is getting marketplace data into an ERP, CRM or internal dashboard without maintaining scrapers, that's the clearest reason to look at Roketfy — and the MCP server for e-commerce data means an AI assistant can query it directly. On top of the spine sit two customer-facing layers. The catalog layer (Marketplace Listing Optimization plus Attribute Creation Technology) does the unglamorous work that actually moves marketplace rankings: title and description copy matched to category search language, and AI attribute enrichment that catches inconsistent fields across a large catalog — the site's own example corrects 'Whte' to 'White' and fills an empty material field with '100% Cotton'. The review layer (360° Customer Reviews plus Voice Of Customer Content) imports reviews from Trendyol, Hepsiburada, Amazon and Google into one hub, republishes them on your own store, and turns review and Q&A text into AI-written product descriptions, highlights and FAQ drafts. The differentiator is the VoC AI Suite, four products each pitched at a specific operating model rather than a generic sentiment dashboard. Early Warning tracks dine-in and delivery reviews side by side for multi-location restaurants. Voice of Guest consolidates Tripadvisor, Booking.com, Trivago, Hotels.com and ETS Tur reviews for hotels. Product & R&D treats each product like a store location and filters out shipping and seller noise so quality and R&D signal survives. Category Radar scans reviews of the top 100 bestsellers for themes, comparisons, emerging trends and unmet needs. The honest weaknesses: everything is shaped around Turkish and selected global marketplaces — Trendyol and Hepsiburada first, then Amazon, Google, Tripadvisor, Booking.com and Walmart in the developer listings — so a US DTC brand living entirely in Shopify won't get the same depth. The site doesn't name which underlying AI model powers the attribute and content features, so you can't audit the model choice. And it's a demo-led sale: the pages we scraped show 'Request a Demo' and 'Book a 1:1 Demo' rather than a plan comparison table, so budget conversations start with the vendor. The one public price signal in the last 90 days is a Summer Sale offering 40% off monthly and 83% off annual premium plans, which indicates annual commitments carry a steep discount relative to monthly — worth confirming terms before you sign. Fit it if you are a marketplace brand, an F&B group or a hotel group with a data team; skip it if you're a solo seller wanting checkout-and-go listing optimisation.
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Real-world workflow fit
Concrete scenarios for the personas Roketfy actually fits — and what changes day-one when you adopt it.
Run a 12,000-SKU catalog through Attribute Creation Technology to catch misspellings like 'Whte' for 'White' and empty material fields, then rewrite underperforming titles with the marketplace SEO analysis showing ideal title length and high-volume keywords.
Outcome: Fewer rejected or suppressed listings from incomplete attributes, and title and description copy matched to how shoppers actually search in that category.
Point Early Warning at dine-in and delivery reviews for every branch and read the two streams side by side in the VoC AI Suite, then ask the team to fix recurring kitchen or packaging issues at the lagging location.
Outcome: Underperforming locations surface before ratings collapse, and delivery complaints get separated from dine-in complaints instead of being averaged into one score.
Call the Roketfy Data Engine endpoint GET /v1/trendyol/product-detail with a bearer token to pull product, review, search and price data as JSON, then write it into the company ERP and a category dashboard; optionally expose it to an AI assistant via the MCP server.
Outcome: Marketplace data lands in ERP and BI without maintaining a scraper, and product and marketing read the same numbers.
Use Cases
- Pull Trendyol product, review and price data as JSON into your ERP via the Data Engine API instead of maintaining your own scraper
- Clean up a large marketplace catalog where colours, materials and other attributes are missing or inconsistently spelled
- Route Amazon and Hepsiburada review signal to product and marketing teams so negative themes get fixed before they compound
- Track dine-in versus delivery reviews across restaurant locations to spot an underperforming branch early
- Consolidate Tripadvisor, Booking.com and Trivago guest reviews into one view for a hotel group
- Show verified marketplace reviews on your own DTC storefront to lift conversion
- Turn real review text and Q&As into product FAQ drafts and key highlights
- Audit the top 100 bestsellers in a category for unmet needs and emerging trends before launching a product
Limitations
- Roketfy's marketplace and data coverage is shaped around Trendyol, Hepsiburada, Amazon and Google first, with Tripadvisor, Booking.com, Trivago, Hotels.com, ETS Tur, Walmart, Trustpilot, App Store, Google Play and Google Maps in the developer listings — capabilities are oriented to those channels rather than any single marketplace.
- The site does not name which underlying AI model powers the attribute enrichment and VoC content features, so model choice cannot be audited from public material.
- The pages we scraped present the platform through 'Request a Demo' and 'Book a 1:1 Demo' rather than a plan comparison, so you'll need a conversation with the vendor to scope pricing and tier limits.
as of 2026-10-04
Verification history
We have re-verified Roketfy 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Roketfy's pricing actually pencils out — and where peers do it cheaper.
Pricing isn't published on the pages we scraped, and the vendor's blog is the only public price signal: a Summer Sale with 40% off monthly and 83% off annual premium plans, which indicates an annual commitment is dramatically cheaper than month-to-month. Position it against standalone marketplace-data scraping APIs on one side and CX-oriented review-analytics suites on the other — Roketfy's pitch is that you don't pay for both, but you'll need a scoping call to compare the actual number.
Setup time & first value
How long it actually takes to get something useful out of Roketfy — broken out by persona, not the marketing-page minute.
Marketplace sellers get first value fastest — connecting Trendyol or Hepsiburada and running a listing or attribute pass is a session, not a project. Hotel and F&B groups take longer because Voice of Guest and Early Warning need each review channel connected before themes stabilise. Engineering teams integrating the Data Engine should budget for auth setup and JSON mapping into their ERP, then a
Switching to or from Roketfy
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From an in-house marketplace scraper: replace scheduled scrape jobs with a single bearer-token call to the Data Engine and map the JSON fields into the same ERP tables.
- →From a standalone review-analytics suite: import your existing review sources into the 360° hub, then switch CX reporting to the VoC AI Suite views.
- →From spreadsheet-based catalog cleanup: run the catalog through Attribute Creation Technology to fill missing material, colour and similar fields in bulk.
- →From separate Trustpilot and App Store review exports: pull them into the same review hub alongside Trendyol and Amazon so one dashboard covers all channels.
- ↗To a self-serve Etsy or Shopify SEO tool: export your keyword and title research and rebuild it in the successor's project structure.
- ↗To a dedicated marketplace-data API: replay your Data Engine field mapping against the successor's schema, since entity names will differ per channel.
- ↗To a generalist CX platform: export review and sentiment history so theme baselines survive the switch.
- ↗To in-house scraping: budget for maintenance, since marketplace page structures change and your Data Engine queries currently absorb that churn.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Roketfy”, and we withheld 6: 6 could not be judged, because “Roketfy” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Roketfy.
Official links
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Roketfy vs Weglot
Choose Weglot if you need to translate an entire website (WordPress, Shopify, etc.) with brand voice and SEO; it’s the clear winner for multilingual sites. Choose Roketfy if you’re solely an Etsy seller wanting to optimize listings, research keywords, and spy on competitors – it’s a specialized Etsy toolkit. They serve completely different needs, so your platform decides the pick.
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Frequently Asked Questions
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