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Scrape.doScrape any website in Markdown format to fuel your AI business with the right data - without getting blocked.

4.3 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Scrape.do is a web scraping tool designed to help users collect structured data from the public web, specifically for training Large Language Models (LLMs). It allows users to scrape website data in Markdown format, including forum threads, longform content, public knowledge graphs, and metadata from any site. The tool provides a crawler-like experience where users can send a single URL and retrieve structured, rendered, and navigated content. Scrape.do handles the complex aspects of web scraping, such as bypassing anti-bot measures and rendering JavaScript. It also offers a simple API call, eliminating the need for infrastructure setup. The tool is suitable for various use cases, including training LLMs with domain-specific web content, collecting structured data from niche forums and blogs, and feeding model-ready data into AI pipelines. Scrape.do supports multiple output formats, including Markdown and JSON, making it easy to integrate with different training stacks. The tool also provides features like URL normalization, content hashing, and domain-specific selectors to help with data deduplication. One of the key benefits of Scrape.do is its ability to handle large-scale web scraping without getting blocked. The tool uses a network of over 100 million residential, mobile, and datacenter IPs in 150+ countries, making it difficult for websites to detect and block scraping attempts. Additionally, Scrape.do provides excellent customer support, with a team of engineers available to help users solve their data needs at scale. Scrape.do offers a free plan with 1000 free credits, allowing users to start scraping without committing to a paid plan. The tool also provides a scalable and reliable solution for web scraping, with over 10 billion requests processed every month. Overall, Scrape.do is a powerful tool for anyone looking to collect structured data from the public web for training LLMs or other AI models. In terms of technical capabilities, Scrape.do supports real browser headers and TLS fingerprints, which helps to make scraping attempts appear more legitimate. The tool also provides built-in WAF and anti-bot bypass capabilities, allowing users to scrape data from websites that would otherwise be difficult to access. With its powerful features and excellent customer support, Scrape.do is a popular choice among developers and data scientists who need to collect large amounts of data from the web. The tool's API-first approach and language-agnostic design make it easy to integrate with different programming languages and frameworks. This allows users to focus on developing their AI models, rather than spending time building and maintaining web scraping infrastructure. Overall, Scrape.do is a valuable tool for anyone looking to collect structured data from the web, and its features and capabilities make it an attractive choice for developers and data scientists alike. In comparison to other web scraping tools, Scrape.do stands out for its ease of use, scalability, and reliability. The tool's ability to handle large-scale web scraping without getting blocked is a major advantage, and its excellent customer support provides an added layer of security and confidence for users. While other tools may offer similar features and capabilities, Scrape.do's overall package makes it a popular choice among developers and data scientists. However, it's worth noting that Scrape.do is a paid tool, and the cost of using the service may be a limitation for some users. Additionally, the tool's output formats are limited to Markdown and JSON, which may not be suitable for all use cases. Nevertheless, Scrape.do remains a popular and powerful tool for web scraping, and its features and capabilities make it an attractive choice for anyone looking to collect structured data from the web. The tool's strengths and limitations are closely tied to its design and functionality. On the one hand, Scrape.do's ability to handle large-scale web scraping without getting blocked is a major advantage, and its excellent customer support provides an added layer of security and confidence for users. On the other hand, the tool's cost and limited output formats may be limitations for some users. Overall, Scrape.do is a valuable tool for anyone looking to collect structured data from the web, and its features and capabilities make it an attractive choice for developers and data scientists alike.

Key features

  • collect large-scale public data from various sources
  • URL normalization
  • content hashing
  • domain-specific selectors
  • minimal overhead

Pricing

Model
Free
Category
Web scraping
Rating
4.3 / 5 (6)

Use cases

Feed LLMs with Clean Web Data

Scrape websites and receive content in Markdown format, ready to be ingested by large language models for training, fine-tuning, or RAG pipelines.

Bypass Anti-Bot Protections

Extract data from websites that typically block scrapers, enabling reliable data collection for AI projects without managing proxies or anti-bot workarounds.

Build AI Knowledge Bases

Convert web pages into structured Markdown to populate knowledge bases and power AI chatbots, search assistants, or content summarization tools.

Market & Competitor Monitoring

Continuously scrape competitor sites, news, or product pages in a clean format to fuel AI-driven analytics and business intelligence workflows.

Pros & Cons

Pros

  • API-first
  • powerful scraping tools
  • excellent customer support

Cons

  • The cost of using Scrape.do may be a limitation for some users
  • The tool's output formats are limited to Markdown and JSON
  • Scrape.do may not be suitable for users who require a high degree of customization or control over the web scraping process

Battle record

Across 1 battle in the Pantheon.

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Last battle

Reviews

4.3

Average from 6 ratings.

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Margaret Whitfield

Margaret Whitfield

May 17, 2026

Does the job

Pretty happy overall. The dashboard just works and it is genuinely easy to set up. Pricing gets steep at scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Sofia Lindqvist

Sofia Lindqvist

Feb 15, 2026

Solid for our team

We rolled this out across the team last quarter and the value for money is strong. The onboarding fits neatly into how we already work, and the API removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.

OH

Omar Haddad

Feb 11, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and it is genuinely easy to set up caught me off guard. The mobile experience lags is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Jamal Carter

Jamal Carter

Nov 20, 2025

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The automation fits neatly into how we already work, and the automation removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.

Olga Ivanova

Olga Ivanova

Oct 19, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the integrations and the value for money is strong. Where it lags: a few rough edges remain. On balance the feature set — especially the dashboard — justifies the 5 stars for our use case.

HT

Hiroshi Tanaka

Sep 23, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the automation, and it is genuinely easy to set up caught me off guard. still, I'd recommend giving it a real trial.

Q&A

Can I use Scrape.do to build my own custom dataset for LLM training?

Yes. You can use Scrape.do to collect large-scale public data from across the web including forums, news, reviews, articles, and academic sources to structure for model training.

Asked by Damian Wysocki · Apr 5, 2026

Does Scrape.do help structure scraped content into clean, model-ready text?

Scrape.do returns raw HTML by default and you can change output using output= to return .md or .json formats, which are perfect for LLM use.

Asked by Kenji Watanabe · Feb 18, 2026

Can I avoid scraping duplicate pages or near-identical content across sources?

Yes. You can use URL normalization, content hashing, or domain-specific selectors alongside Scrape.do to deduplicate at scale with minimal overhead.

Asked by Youssef El-Sayed · Feb 5, 2026

Can I integrate Scrape.do directly into my data labeling or training pipeline?

Absolutely. Scrape.do is API-first and language-agnostic which makes it easy to plug into any training stack from local scripts to production-scale ingestion workflows.

Asked by Rina Desai · Jan 13, 2026

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