
Amazon AWS
Microsoft Azure
DigitalOcean
Heroku
Linode
Vultr
CloudFlare
Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.

RapidAPI
Apify
APISCRAPY
ScrapItt
Scrapy
Zyte
Scraper API
One HTTP API over 185+ live web data sources - search, social, e-commerce, real estate, jobs and finance - returning clean JSON.

Which is more popular?
Based on our record, Google Cloud Platform seems to be more popular. It has been mentioned 211 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | reefapi.com |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from Turkey · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Google Cloud accelerates every organization’s ability to digitally transform its business and industry by delivering enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and...
ReefAPI is one HTTP API over 185+ live web data sources. Instead of maintaining a scraper per site, you send one request shape to one endpoint and get normalised JSON back: search engines, social platforms, e-commerce, real estate, job boards, travel, news, finance and company data. One API key...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Amazon Web Services vs Google Cloud Platform - AWS vs GCP | Difference Between GCP and AWS
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Google Cloud Platform and ReefAPI.
ReefAPI's answer:
The gateway is Python and FastAPI, running in Docker with PostgreSQL and Redis behind it. The public API is plain HTTP and JSON, described by an OpenAPI 3.0 spec, so any HTTP client works and no SDK is required.
On top of that there is an MCP server so AI assistants can call the catalogue directly. The website and playground are built with Next.js.
ReefAPI's answer:
ReefAPI is one HTTP API over 185+ live web data sources rather than a toolkit for building your own scrapers. Every source is reached with the same request shape and returns the same JSON envelope, so adding a new source is a parameter change, not a new integration.
One API key and one shared credit pool cover all of them, so there is no separate contract, key or invoice per source. Credits do not expire, and calls that fail or return no data are not charged.
There is also an MCP endpoint, so AI assistants and agents can call the same 185+ sources directly without any glue code.
ReefAPI's answer:
Most alternatives sell you either a generic fetch endpoint that hands back raw HTML, or a single-site API you have to buy one source at a time. ReefAPI sits between the two: the sources are already parsed into consistent fields, and all 185+ of them come with one key and one balance.
Practical differences:
If you only ever need one website, a single-site API may be cheaper. ReefAPI pays off when the list of sources is going to grow.
ReefAPI's answer:
Developers and small product teams who need live web data as an input to something else: price and catalogue monitoring, market and competitor research, lead and company enrichment, real-estate and job-market analysis, and AI agents or RAG pipelines that need current data rather than training-set memory.
The common thread is that data collection is not their product. They want the data as JSON and would rather not run and maintain per-site collection code themselves.
ReefAPI's answer:
ReefAPI started in early 2026 out of a repeated problem: every new project needed data from another website, and each one meant writing, hosting and then repairing a separate collector. The work was never the interesting part, and it broke every time a site changed.
The idea was to do that work once per source and expose it as a normal HTTP endpoint. One key, one credit balance, one response shape, and a catalogue that grows over time. It launched in February 2026 and now covers 185+ live sources across 14 or so industries.
Share your experience with using Google Cloud Platform and ReefAPI. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Google Cloud shines as a comprehensive suite of database solutions, which include Cloud SQL, Firestore, Bigtable, and Spanner. It caters to a wide range of workloads, from analytics to enterprise applications. Its...
Google Cloud consistently performs well in load tests, handling high traffic volumes with minimal impact on website performance.
Big Data and Analytics: Using Google’s data processing resources, Google Cloud provides dependable big data and analytics solutions, enabling your e-commerce business to make data-driven decisions.
We have no reviews of ReefAPI yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Provision managed resources (Postgres, MongoDB, Kafka, RabbitMQ, etc.) from DigitalOcean, Supabase, Scaleway, AWS, or Google Cloud. It doesn't really matter which; they all offer good SLAs. - Source: dev.to / 29 days ago
A Safe, Live Data Layer: Instead of testing in a vacuum with fake data, developers bootstrap ideas using Google AI Studio templates. These hook into a secure Google Cloud proxy server that grants pre-authenticated, read-only API access... - Source: dev.to / 4 months ago
For sheets that need to move in real time, pair our WebSocket feed with a small bridge running on a Google Cloud function. Our WebSocket candles guide shows a reconnect-safe pattern in Node.js, and the low-latency forex dashboard use... - Source: dev.to / 5 months ago
Tracking ReefAPI since Jun 2026.
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