
Oxylabs
Decodo
IPRoyal
NetNut.io
Zyte
SOAX
Scraper API
World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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, Bright Data seems to be more popular. It has been mentioned 45 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | brightdata.com | reefapi.com |
| Pricing | ||
| Platforms | — | |
| Company | 2021 | Startup from Turkey · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Bright Data yet.
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.
Rotating Residential Network | Proxy Network Types | Bright Data (Formerly Luminati Networks)
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Bright Data 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 Bright Data 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.


It depends on the job. For turning known URLs into clean Markdown, a scraping API such as Spicrawl, Firecrawl or Jina Reader is the simplest. For crawling whole sites, Firecrawl, Crawl4AI, Context.dev and Apify follow...
And if there’s one thing that defines Bright Data in an industry where all gaps are closing, it’s the platform. We’ve criticized it for complexity and opaqueness; but after all these years, we have to admit that...
We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.
We have no reviews of ReefAPI yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Happy to offer a counter of some great products for anti-bot defeat: https://brightdata.com/ https://www.zenrows.com/ https://www.capsolver.com/ https://scrapfly.io/ hundreds of millions of residential ips, human browser fingerprints,... - Source: Hacker News / 3 months ago
The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network,... - Source: dev.to / 5 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute... - Source: dev.to / 6 months ago
Tracking ReefAPI since Jun 2026.
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