Extract structured data from any website fast, reliably, and without CAPTCHAs, geo-restrictions, or IP blocks. Stream results straight into your pipelines and AI workflows in HTML, JSON, CSV, or Markdown format.
Web Scraping API is a tool that streamlines and automates data collection by emulating real user traffic at scale.
The API handles IP address rotation, integrated browser fingerprints, and JavaScript rendering to return web data in HTML, JSON, CSV, or Markdown format – all ready for your AI models.
If a request fails, the API will retry automatically, and you’ll only be charged for successful results.
Designed by our experienced developers, this tool offers you a range of handy features:
Built-in CAPTCHA and anti-bot measure handling
Headless browser rendering for JavaScript-heavy targets
Our Web Scraping API mimics real user traffic to outsmart anti-bot systems and capture accurate data. The API delivers results in HTML, JSON, CSV, or Markdown format, and automatically retries the request several times if it fails.
Synchronous
Asynchronous
Test drive our Web Scraping API
Run scraping requests, tweak parameters, and preview results in structured formats before even launching your projects.
Skip the setup and start scraping instantly with our ready-made templates. Whether you're collecting product data, search results, or page content, these templates are optimized for accuracy, speed, and ease of use – no manual configuration required.
Integrate Web Scraping API into your AI tools and workflows using our ready-made no-code node for n8n or let agents fetch the data for you with our MCP server.
Power your AI workflows with:
Automated data collection for LLMs and AI agents
Geo-diverse inputs for quality datasets
Reproducible and consistent scraping runs
Drop-ins with HTML requests, Playwright, or Puppeteer
Crybaby drops sell out in minutes, leaving collectors empty-handed against reseller bots. Building an automated Crybaby bot gives genuine collectors a fighting chance by handling rapid checkouts, monitoring stock levels, and competing with professional resellers targeting these coveted blind box figurines. Ready to finally get that beautiful Crybaby figurine?
Web scraping is a powerful technique used by businesses and researchers to extract data from websites. Whether you're trying to gather valuable market insights or simply looking to automate repetitive tasks, web scraping can be a game-changer. In this article, we'll explore how you can determine if a website allows scraping.
In 2006, British mathematician Clive Humby coined the phrase "data is the new oil." He pointed out that "much like oil, data holds significant value," meaning that big data’s potential remains untapped without proper structure and refinement. Over the next 18 years, more companies started collecting large amounts of data to get a bird’s eye view of the competition, unlock new growth opportunities, and explore the ever-changing user behavior. And in the AI era, more businesses are exploring the ability to employ robots to do their time-wasting data collection tasks.
In today’s digital era, businesses can access relevant public data to reach their goals. But here’s the catch – data collection is quite a hassle that takes up too much time and effort. That’s where web scraping, a method of automatically gathering publicly accessible website information, comes in. In this blog post, we’ll explore web scraping, its best practices, and ready-made tools to maximize efficiency and productivity. Make sure to stay until the end, as we have an exciting webinar announcement for you!
GitHub is one of the most significant sources of technical knowledge on the internet, especially for developers building intricate applications. Follow this guide to learn how to extract this valuable data and effortlessly follow the latest tech trends.
Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and offer an alternative method for scraping the web.
Nowadays, web scraping is essential for any business interested in gaining a competitive edge. It allows quick and efficient data extraction from a variety of sources and acts as an integral step toward advanced business and marketing strategies.
If done responsibly, web scraping rarely leads to any issues. But if you don’t follow data scraping best practices, you become more likely to get blocked. Thus, we’re here to share with you practical ways to avoid blocks while scraping Google.
An application programming interface (API) works like a messenger. It allows different software systems to communicate without developers having to build custom links for every connection. For instance, one service might supply map data to a mobile app, while another handles payment processing for online transactions. In these times, that demands seamless integration, and APIs play a vital role. They automate tasks, enable large-scale data collection, and support sophisticated functions like web scraping and proxy management. By bridging diverse platforms and streamlining data exchange, they help businesses stay competitive and reduce the complexity of managing multiple, often inconsistent endpoints.
Scraping hotel listings is a powerful tool for gathering comprehensive data on accommodations, prices, and availability from various online sources. Whether you're looking to compare rates, analyze market trends, or create a personalized travel plan, scraping allows you to efficiently compile the information you need. In this article, we'll explain how to scrape hotel listings, ensuring you can leverage this data to its fullest potential.
The data scraping tools market is growing significantly, valued at approximately $703.56M in 2024. The market is projected to grow more due to the increasing demand for real-time data collection across various industries.
OK, OK. You prolly know it already, but let us remind ya. YouTube is a site that allows users to upload, watch, and interact with videos. Since 2005, it has become the MVP platform for various things – starting from storing fav clips or songs and ending with marketing for companies to promote their products.
Hundreds of hours of content are uploaded to YouTube every minute. It means it’s impossible to scrape the search results manually, well, unless you're a superhero. Fortunately, we have great news – our Web Scraping API can do the job for ya.
When it comes to gathering online data, two terms often create confusion: web crawling and web scraping. Although both involve extracting information from websites, they serve different purposes and employ distinct methods. In this article, we’ll break down these concepts, show you how they work, and help you decide which one suits your data extraction needs.
Web scraping is a powerful tool driving innovation across industries, and its full potential continues to unfold with each day. In this guide, we'll cover the fundamentals of web scraping – from basic concepts and techniques to practical applications and challenges. We’ll share best practices and explore emerging trends to help you stay ahead in this dynamic field.
Web scraping with Python is a powerful technique for extracting valuable data from the web, enabling automation, analysis, and integration across various domains. Using libraries like Beautiful Soup and Requests, developers can efficiently parse HTML and XML documents, transforming unstructured web data into structured formats for further use. This guide explores essential tools and techniques to navigate the vast web and extract meaningful insights effortlessly.
Web Scraping API is our automated data scraping solution that allows real-time data extraction from a huge range of websites without geo-restrictions, CAPTCHAs, or IP blocks. Our all-in-one scraper handles everything from JavaScript rendering to geo-targeting to deliver data ready for automating your workflows.
Is Web Scraping API good for AI workflows?
Yes. Web Scraping API integrates seamlessly with automation tools like n8n and MCP servers, making it straightforward to collect and structure data for AI agents and LLMs. With scalability and support for structured outputs such as JSON and Markdown, it’s a strong fit for AI-driven workflows.
How is web scraping used in business?
Web scraping is how today’s teams automate data collection to gain a competitive edge. With our Web Scraping API, you skip the manual work and anti-bot measures, and can focus on extracting insights that drive strategies.
Web scraper use cases include:
Competitive analysis. Monitor feature updates and customer sentiment to improve inventory and advertising strategies.
Price intelligence. Track pricing and stock to offer competitive prices and identify discount potential.
Market research. Get structured data from product listings, review sections, and public news sites to identify trends, customer needs, and new positioning opportunities.
Lead generation. Scrape company directories, job boards, and public profiles to automatically feed CRM systems with fresh, quality leads.
Sentiment analysis. Analyze reviews, forums, and niche communities for product feedback.
Real estate and finance. Collect listing data, blog insights, and transaction records for accurate competitive benchmarking and trend forecast.
AI training datasets. Build quality datasets for LLMs, AI agents, and recommendation engines from publicly available content
How to choose the best web scraping tool?
Follow these guidelines to find the web scraper that best fits your needs:
Define your data goals. Know upfront what you’ll be scraping (e.g. eCommerce listings) and what format you want it in (e.g. JSON) to find scrapers actually designed for the job.
Check anti-detection features. Keep an eye out for scrapers that handle proxy management and are backed by a vast IP pool. These help avoid CAPTCHAs, geo-restrictions, and IP blocks for uninterrupted scraping.
Prioritize scaling and automation. Future-proof your data collection projects with scrapers that scale with your needs and are easy to automate with features like task scheduling, bulk upload, and automatic retries.
Check success rates and reliability. Go with scrapers that have success-based pricing and guarantee 99.99%+ scraping success rates.
Consider integrations and support. See how well the scraper can be integrated into your infrastructure by checking supported coding languages. Bonus points for 24/7 tech support.
Test out ease of use. Look for scrapers with full documentation, quick onboarding, and scraping templates. If possible, take advantage of the free trial to see if the scraper lives up to the ease.
Don’t ignore compliance. Choose providers that take data ethics seriously by sourcing proxies sustainably and complying with data collection laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
If you’re in the market for a scraper, consider our Web Scraping API, as it has all of the above and more. Try it out for free now!
What are ready-made web scraping templates?
Ready-made templates are presets that streamline scraping for common use cases. Instead of writing custom code from scratch, you launch a tested template where you edit a code example using easily customizable options. This makes your data collection projects more efficient and requires zero coding.
How does Web Scraping API differ from proxies?
Proxies are the physical infrastructure, while our Web Scraping API is the software that brings proxies and the scraper functionality together. The API handles tasks like proxy management, anti-bot system bypassing, and structured data delivery.
What websites can I scrape with Web Scraping API?
Our Web Scraping API works across most websites – even the ones with JavaScript-heavy frameworks, strict anti-bot measures, or geo-restrictions. There are exceptions, like banking, government, and telecom websites, where we restrict access to avoid criminal activity.
Is it legal to use a scraper to collect data from websites?
While you can scrape public data, it’s a must to check the website’s terms of service for specific conditions and restrictions. When in doubt, consult a legal expert before scraping data.
What do Decodo customers say about their experience with Web Scraping API?
Read what our users actually think about our Web Scraping API and support on Trustpilot and G2. Our users consistently praise our 24/7 tech support for being fast and efficient, and they point out the API's user-friendliness and reliability. Also, check out our case studies for detailed success stories.
How does Decodo support its users if they encounter issues with Web Scraping API?
If you run into any issues with our Web Scraping API, contact our 24/7 tech support team via LiveChat. You can also join our community on Discord to ask questions or look up our Knowledge Hub to get the most out of our Web Scraping API.
What kind of onboarding and user experience can new Decodo customers expect?
It only takes a few minutes to start scraping with our Web Scraping API. The dashboard is easy to use, we have quick start guides that guide you through the setup, and ready-made scraping templates streamline data collection.
How can I quickly integrate Web Scraping API into my existing workflow or tech stack?
Our Web Scraping API can be integrated into your infrastructure in minutes. It supports many popular programming languages, including Python and Node.js, with flexible parameters, multiple outputs, and ready-to-use code snippets. Explore integrations for your specific use cases in our documentation.
What developer tools and resources are available to help me get started with the API?
You’ll find everything from our API reference documentation to a robust API Playground for testing real-time requests. We also offer repositories on our GitHub made for popular scraping frameworks like Puppeteer, Playwright, and Selenium.
Is Web Scraping API compatible with popular frameworks and automation tools?
Absolutely. Our Web Scraping API is built to work with popular libraries like Puppeteer, Playwright, Selenium, Crawlee, Beautiful Soup, Cheerio, and other industry standards.
What is the maximum scale or volume of data Decodo’s Web Scraping API can reliably process?
There’s no limit to how much data you can scrape with Web Scraping API. Whether you scrape a thousand or a million data points per day, our infrastructure is built to automatically scale with your demands, with unlimited concurrent sessions and task scheduling.
How does Decodo’s Web Scraping API compare to other solutions?
Our Web Scraping API automates everything from managing proxies to bypassing anti-bot systems, and only charges for successful scrapes. It offers a streamlined, no-maintenance approach that delivers cleaner data, fewer headaches, and faster time-to-value to growing teams.
How can I quickly get started with Decodo’s Web Scraping API?
You can start using our Web Scraping API in 4 simple steps:
On the left, click Pricing under Scraping APIs, and select a pricing plan that fits your needs, or claim your 7-day free trial.
After the payment, go to Web Core or Web Advanced (depending on your chosen plan).
Under Scraping APIs, set your scraping request parameters, and click Send Request.
With that, you’ve just sent a scraping request in just a few minutes.
What happens if my scrape encounters CAPTCHAs, IP bans, or interruptions?
Web Scraping API handles it under the hood. It automatically rotates IPs and uses integrated browser fingerprints to bypass anti-bot measures and restrictions. If a request fails, it automatically retries to deliver the data to you several times. You won’t be charged for the failed requests.
Show more
Web Scraper API for Your Data Needs
Gain access to real-time data at any scale without worrying about proxy setup or blocks.