Audience
Professional users and data scientists searching for a solution to extract and clean web data for applications
About WebCrawlerAPI
WebCrawlerAPI is a powerful tool for developers looking to simplify web crawling and data extraction. It provides an easy-to-use API for retrieving content from websites in formats like text, HTML, or Markdown, making it ideal for training AI models or other data-intensive tasks. With a 90% success rate and an average crawling time of 7.3 seconds, the API handles challenges like internal link management, duplicate removal, JS rendering, anti-bot mechanisms, and large-scale data storage. It offers seamless integration with multiple programming languages, including Node.js, Python, PHP, and .NET, allowing developers to get started with just a few lines of code. Additionally, WebCrawlerAPI automates data cleaning, ensuring high-quality output for further processing. Converting HTML to clean text or Markdown requires complex parsing rules. Handling multiple crawlers across different servers.
Other Popular Alternatives & Related Software
UseScraper
UseScraper is a powerful web crawler and scraper API designed for speed and efficiency. By entering any website URL, users can retrieve page content in seconds. For those needing comprehensive data extraction, the Crawler can fetch sitemaps or perform link crawling, processing thousands of pages per minute using the auto-scaling infrastructure. The platform supports output in plain text, HTML, or Markdown formats, catering to various data processing needs. Utilizing a real Chrome browser with JavaScript rendering, UseScraper ensures the successful processing of even the most complex web pages. Features include multi-site crawling, exclusion of specific URLs or site elements, webhook updates for crawl job status, and a data store accessible via API. The service offers a pay-as-you-go plan with 10 concurrent jobs and a rate of $1 per 1,000 web pages, as well as a Pro plan for $99 per month, which includes advanced proxies, unlimited concurrent jobs, and priority support.
Learn more
Firecrawl
Crawl and convert any website into clean markdown or structured data, it's also open source. We crawl all accessible subpages and give you a clean markdown for each, no sitemap is required. Enhance your applications with top-tier web scraping and crawling capabilities. Extract markdown or structured data from websites quickly and efficiently. Navigate and retrieve data from all accessible subpages, even without a sitemap. Already fully integrated with the greatest existing tools and workflows. Kick off your journey for free and scale seamlessly as your project expands. Developed transparently and collaboratively. Join our community of contributors. Firecrawl crawls all accessible subpages, even without a sitemap. Firecrawl gathers data even if a website uses JavaScript to render content. Firecrawl returns clean, well-formatted markdown, ready for use in LLM applications. Firecrawl orchestrates the crawling process in parallel for the fastest results.
Learn more
Olostep
Olostep is a web-data API platform built for AI and developer use, enabling fast, reliable extraction of clean, structured data from public websites. It supports scraping single URLs, crawling an entire site’s pages (even without a sitemap), and submitting batches of up to ~100,000 URLs for large-scale retrieval; responses can include HTML, Markdown, PDF, or JSON, and custom parsers let users pull exactly the schema they need. Features include full JavaScript rendering, use of premium residential IPs/proxy rotation, CAPTCHA handling, and built-in mechanisms for handling rate limits or failed requests. It also offers PDF/DOCX parsing and browser-automation capabilities like click, scroll, wait, etc. Olostep handles scale (millions of requests/day), aims to be cost-effective (claiming up to ~90% cheaper than existing solutions), and provides free trial credits so teams can test its APIs first.
Learn more
HyperCrawl
HyperCrawl is the first web crawler designed specifically for LLM and RAG applications and develops powerful retrieval engines. Our focus was to boost the retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach to building an ML-first web crawler. Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple web pages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks. By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time. HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.
Learn more
Pricing
Starting Price:
$2 per month
Company Information
WebCrawlerAPI
United States
webcrawlerapi.com
Videos and Screen Captures
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
