Best MCP Servers for Web Scraping in 2026

What is an MCP?

MCP – or Model Context Protocol – is an Anthropic-developed standard for creating an interface for LLMs to interact with various tools. This allows AIs to be proactive: rather than relying on their training data, they can both draw data in real-time from third-party tools and use those tools like any user would.

Previously, even with APIs at hand, you had to custom-craft the integration for every model and every tool. But MCP standardizes those interactions, allowing any LLM to send natural-language requests that the server can “translate” for the service. Once the data comes back, the server returns it in a format the AI can use.

As long as the developer (or some adventurous volunteer) creates the MCP server, any AI should be able to use it. This allows an AI to, say, access Flightradar24 public data live, get the information on the flights you care about, then add them into a database of your choice, and then post that data on the signs in your Minecraft server (we found at least two MCP servers for Minecraft).

Why Do You Need an MCP for Web Scraping?

Web scraping has already seen significant advances in automation, first via web scraping APIs and then by using AI for scraping. Yet the human hand is still needed to get the processes and tools to work together. Large-scale scraping would be nearly impossible without tools like proxies, and is heavily enabled by scrapers developed for specific websites.

MCP servers put all those tools at the invisible fingertips of the LLMs. As such, you only need to set up the model and the MCPs, and much of the remaining work will consist of you telling the AI what you want to do – from that point on, the model will be utilizing the tools exposed by the MCP to do it.

Moreover, it integrates the AI more deeply into the web scraping chain. Without MCP, the work of the model would end with delivering data. But with MCP, a single natural language command will be enough for the LLM to not only scrape the website but also sort the data into databases and format it in ways fit for human consumption.

How Did We Determine the Best MCP Servers for Web Scraping?

An MCP developer can expose all the tools in the world, but none of them would matter if their infrastructure didn’t work. However, here at Proxyway, we carried out scraper API research, examining how well they performed with various targets. Several of those developers created MCP servers that turn their APIs into tools for AI, and our data shows roughly what you can expect from them.

The test targeted various popular websites (think Google, Amazon, Shein, G2) and tested the API success rate and response time. For this list, we chose the average success rate and average response time, both at 2 requests/second. Here’s what the final table looks like:

Provider	Avg. Success Rate	Avg. Response Time
Decodo	87.09%	15.22 s
Oxylabs	85.82%	16.76 s
ScrapingBee	84.47%	25.46 s
Nimbleway	47.72%	21.1 s
Firecrawl	33.69%	7.92 s

The Best MCP Servers for Web Scraping

1. Decodo

Overall best MCP provider.

Geo locations: 150+ countries with ZIP for Amazon, city & coordinates for Google
Support: award-winning 24/7 support via chat or email
Pricing model: based on successful requests
Pricing structure: subscription
Pricing starts at: $20 for 23k requests ($0.88 CPM)
Free trial: 14-day money-back option or 7-day trial

The Decodo MCP is great for scraping some of the largest websites there are. Scrape_as_markdown is the generic tool, and it works with any website. For marketing purposes, Google and Amazon search parsers will do wonders. As for the two Reddit tools, well, there’s a reason why LLMs rely on Reddit so much, and your model can now do it live.

As Decodo displayed great overall results in our scraper API research, you can also expect it to do well when those tools are put to AI use. A good average success score is great if scrape_as_markdown is expected to see heavy use, though you may still want to check the results for specific targets. As our API research showed, some of them (G2, Shein) proved to be very hard to crack for anyone.

Now, for the pricing! You’ll need to get the Web Advanced plan to access the MCP. This is, incidentally, the same you’d need if you wanted to use the APIs exposed as tools in MCP with advanced features like JavaScript rendering.

For more information and performance tests, read our Decodo review.

2. Oxylabs

Most powerful AI-based tools on the list.

Geo locations:150+ countries with ZIP for Amazon, city & coordinates for Google
Support: 24/7 via live chat, dedicated account manager
Pricing model: based on successful requests
Pricing structure: subscription
Pricing starts at:
-$49 for up to 98k results ($0.5 CPM) (Web Scraper);
-$12/mo for 3k credits ($4 CPM) (AI Studio)
Free trial: 7-day trial for businesses, 3-day refund for individuals

Oxylabs built its MCP by turning its web scraper API and AI studio products into tools for AI. The former brings to the table a generic scraper, a Google and Amazon search results scraper, and a scraper specifically for Amazon products. The latter puts AI in your AI, with four generic scraping tools that provide structured data by way of an LLM.

Overall, Oxylabs is so good at targeting Amazon that we gave it the #2 spot on our Amazon scraper list. When it comes to generic scrapers, well, there’s a reason why the company maintains the same place on this list. If you’re going after targets that don’t have or don’t warrant specific tools for, Oxylabs is probably your best choice.

Now, to get the complete package, you’ll need subscriptions for both Oxylabs Web Scraper API and the Oxylabs AI studio. If you don’t care about either half of these MCP tools, just get the one subscription you care about.

For more information and performance tests, read our Oxylabs review.

3. ScrapingBee

Best tool granularity.

Geo locations: 150+ countries (only with premium proxies), ZIP code for Amazon
Support: email or live chat (Monday to Friday, 10 AM to 10 PM UTC+2)
Pricing model: credits
Pricing structure: subscription
Pricing starts at: $49 for 250k credits
Free trial: 1K credits for 14 days

The ScrapingBee MCP rhymes, but also comes with an interesting slew of tools. Four of them will allow your model to do some pretty basic tasks: scrape all the text in the page, get the HTML or a screenshot, or even download a specific file (PDF, image, etc). Most of the rest are meant to crack usual targets, like Google, Amazon, or Walmart SERP, or scrape specific products for the two commercial sites (Walmart data can even be localized by store or ZIP code). Lastly, there’s a tool for scraping ChatGPT answers.

Going by performance, ScrapingBee definitely earns its number three spot. In our tests, it showed success rates above 90% for Amazon, Google, and Walmart. And while it shows the highest average response time among the developers in this list, that is the price you pay for quality.

Now, the actual price is closer to $ItDepends. A ScrapingBee subscription gets you access to the MCP. How much you’ll be getting out of it depends on the difficulty of your targets. While you pay for 250,000 credits, the cost of a single request ranges from one (rotating proxy and no JS rendering) to 75 (stealth proxies and JS).

For more information and performance tests, read our ScrapingBee review.

4. Nimbleway

Best for scraping Maps data.

Geo locations: 150+ countries with state & city targeting
Support: live chat on the dashboard, email, Slack, Microsoft Teams, and Discord
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Pricing starts at: $150 (CPM $2.8) (53k requests)
Free trial: Available

Nimbleway offers a lot in the way (get it?) of generic tools. For example, extract is for scraping URLs you already know, while deep_web_search is for looking up websites via Google, Bing, or Yandex and then scraping them. The Google options are self-explanatory; it also marks the first time map data tools appear in this article. Lastly, the targeted_engines tool is for listing available pre-trained scraping templates, showing what websites and data can be scraped with targeted_retrieval.

The success rates start dipping as we exit the top three positions on the list, but that’s not the whole picture. Any results, good or bad, were hard to verify some time after we ran our research. This can depend on a variety of factors, from the changing website infrastructure messing with the scrapers to the simple fact that some developers specialize in scraping specific targets, which means that their average score is dragged down by targets they haven’t optimized for.

To get to Nimbleway’s MCP tools, you’ll need the API key. And while a PAYG option is available, the basic subscription tier starts at $150 for 150 credits. Going by the stated CPM, that’s enough to make more than 53,000 requests.

For more information and performance tests, read our Nimbleway review.

5. Firecrawl MCP

King of generic scraping tools.

Geo locations: 26
Support: email
Pricing model: credits
Pricing structure: subscription, extra credits
Pricing starts at: $19/mo for 3k credits
Free trial: 500 credits

Firecrawl MCP puts all of the Firecrawl products under a single roof in – to torture the metaphor – a neighborhood that is easily accessible to LLMs. Under the laconic titles of Scrape, Crawl, Map, and Search lie the capabilities any LLM tasked with web scraping would find helpful (if it were a person).

After integrating in one of many, many documented ways, Firecrawl allows an LLM to scrape URLs one by one or in batches. At its most basic, the crawl functionality actually goes through the links to scan pages under a single domain without needing a prior site map. At the far end of the spectrum, there’s deep research, which does lengthy, time-consuming, LLM-based research.

The basic parameters for using MCP are concerned with how hard you want to push your luck with retries. This would seem woefully not enough if not for the fact that the specific tools have their own parameters as well.

Notable Market Participant We Haven’t Tested Recently:

Bright Data

Offers structured web data.

Add up to $500 to your account and get double the amount.

Geo locations: 200
Support: email, tickets, WhatsApp, Telegram, phone
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Pricing starts at: $1 ($1.5 CPM)
Free trial: 5,000 credits

Bright Data is a significant participant in the proxy and scraping sphere – big enough that we can’t ignore them even without having tested their API recently. Especially when the Bright Data MCP exposes around 70 tools. However, there’s a slight trick to them: the majority of those tools aren’t for scraping. Instead, they allow an LLM to access “structured and validated” web data from 190+ datasets covering 120+ domains like LinkedIn, Amazon, and Instagram.

When it comes to paying for all these goods, things get a little tricky. Free tier gives you access to web search and a general-purpose Markdown scraper. However, browser control and structured data tools require getting a paid plan.

Unfortunately, the PRO tier has its downsides: exposing all the tools at once eats into your tokens even before you manage to do anything. To solve that issue, Bright Data introduced tool groups that limit what gets exposed when. The provider claims that this reduces token consumption by 60%.

For more information and performance tests, read our Bright Data review.