Train LLMs, build recommendation systems, and power AI-driven analytics with our powerful YouTube Scraper API* by collecting AI-ready YouTube data at scale.
Download YouTube videos by simple providing a list – no manual steps or browser automation needed. Ideal for training data, media analysis, or offline access.
A YouTube scraper is a tool that extracts data from the YouTube video-sharing platform.
Decodo’s YouTube Scraper API delivers data in formats optimized for large-scale AI applications. Send a single API request and receive the data you need in HTML or structured JSON format. Even if a request fails, we’ll retry until the data is delivered. You'll only pay for successful requests.
Designed by our experienced developers, this tool offers you a range of handy features:
Built-in scraper and parser
JavaScript rendering
Easy API integration
195+ geo-locations, including country-, state-, and city-level targeting
Get a taste of what our web scraper is capable of right here and now. Experience a convenient website scraping solution and get real-time data without breaking a sweat.
Scrape YouTube data efficiently with our powerful API. With flexible output options and built-in proxy support, we make sure your data collection is smooth, without blocks or CAPTCHAs to worry about.
Advanced anti-bot measures
Breathe easier with advanced browser fingerprinting to bypass CAPTCHAs and anti-bot systems.
100% success rate
Pay only for successfully retrieved YouTube data. We won’t charge you for failures or empty responses.
Real-time or on-demand results
Get your data when it works for you – right away or scheduled for later.
Ready-made templates
Start scraping instantly with our pre-built YouTube templates for transcripts or metadata – no manual configuration required.
Quick integration
Connect our API to your workflow using quick start guides and ready-made code examples.
Proxy support
Bypass IP blocks, CAPTCHAs, and geo-restrictions using our network of 125M+ IPs.
24/7 tech support
Contact us anytime via LiveChat – we’re just a message away.
Free trial
Access full functionality for 7 days and 1K requests, completely free of charge.
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Best Usability 2025
Awarded for the ease of use and fastest time to value for proxy and scraping solutions.
Best User Adoption 2025
Praised for the seamless onboarding experience and impactful engagement efforts.
Best Value 2025
Recognized for the 5th year in a row for top-tier proxy and scraping solutions.
Error 429 can hit anyone on YouTube, whether you’re looking for what to watch or collecting video analytics with automated tools. While the causes are different, the frustration of getting blocked is all the same. We'll dive into what this error means, why it happens to both everyday users and professional scrapers, and how to fix it.
Google Images is arguably the first place anyone uses to find photographs, paintings, illustrations, and any other visual files on the internet. Its vast repository of visual content has become an essential tool for users worldwide. In this guide, we'll delve into the types of data that can be scraped from Google Images, explore the various methods for scraping this information, and demonstrate how to efficiently collect image data using our Web Scraping API.
Ever wondered how to extract valuable business data directly from Google Maps? Whether you're building a lead list, analyzing local markets, or researching competitors, scraping Google Maps can be a goldmine of insights. In this guide, you’ll learn how to automate the process step by step using Python – or skip the coding altogether with Decodo’s plug-and-play scraper.
Google Sheets is a powerful tool that hosts various data management and analysis features. While it usually deals with information already gathered elsewhere, few know that Sheets have built-in functions that can also gather website data on their own! This article will explore the many benefits of using Google Sheets for web scraping and how to build a powerful in-house web scraping machine without ever leaving your browser window.
Did you know that there are thousands of job postings scattered across different websites and platforms, making it nearly impossible to keep track of all the opportunities out there? Thankfully, with the power of web scraping and the versatility of Python, you can automate this tedious job search process and land your dream job faster than ever.
Excel is an incredibly powerful data management and analysis tool. But did you know that it can also automatically retrieve data for you? In this article, we’ll explore Excel's many features and its integration with Visual Basic for Applications (VBA) to effectively scrape and parse data from the web.
In recent years, there has been a significant shift in the way content creators, influencers, and artists connect with their audience and monetize their talents. OnlyFans, a subscription-based social media platform, has emerged as a website that allows creators to share exclusive content directly with their dedicated followers for a subscription fee.
OnlyFans scraping, which involves extracting publicly available data from the website, has sparked an interest. In this blog post, we’ll delve into this scraping world, its possible use cases, and the benefits it offers. Excited to learn more? Buckle up, and let’s begin!
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.
Scraping YouTube comments is one of the most direct ways to tap into user sentiment, uncover insights for market research, and even build large datasets for machine learning models. In this blog, we’ll explore what YouTube comment scrapers are, the various methods to scrape comments (both official and unofficial), and how to choose the best approach for your needs.
Screen scraping is a valuable technique for extracting data from websites and applications when structured access methods, such as APIs, are unavailable. It enables businesses and developers to gather information for market research, automation, and system integration. Unlike traditional web scraping, which directly extracts structured data from HTML, screen scraping retrieves content from a website’s graphical interface, making it useful for capturing dynamic or visually rendered data. When combined with residential proxies, screen scraping becomes even more effective by bypassing IP restrictions and anti-bot measures, ensuring uninterrupted web data extraction and collection.
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.
An Instagram profile scraper allows you to gather public Instagram profile data. Instead of building a scraper yourself, use our Social Media Scraping API. In this blog post, you’ll get Python code samples for real-time and on-demand data collection at a 100% success rate. Avoid blocks and errors and scrape with a shielded IP – check out this game-changing scraping tool and follow our step-by-step guide on how to set it up!
Social media scraping can look like a tough nut to crack due to strong anti-bot systems. Gladly, it’s not a rule, at least in Telegram’s case. This platform supports various Telegram bot automation, making the scraping process easier.
There’re a lot of ready-built solutions for that, but you can easily make one yourself with a bit of coding and the Telegram API. Yes, this platform even has its own API! Dope, innit?
Are there any limitations or challenges in scraping YouTube content?
Yes, there are a few. YouTube has rate limits that control how often you can access data. Data availability can also change depending on YouTube’s rules and updates. Since the YouTube page structure can change without warning, it’s important to keep the tool working with regular scraper updates and testing.
Is it legal to scrape YouTube data?
Scraping YouTube data can be legal, but it depends on the type of data you collect and how you use it. It's important to follow YouTube's terms of service and comply with copyright laws. For legal compliance, stick to public, non-sensitive data and avoid collecting personal data or private content. This helps ensure that your use remains within legal and ethical boundaries. When in doubt, consult a legal professional.
What are the typical costs associated with using a YouTube scraper?
The cost of using a YouTube scraper depends on the pricing models offered. Some services charge a subscription fee, while others work on a pay-as-you-go basis. The main cost factors are usually the data volume you need, how often you scrape, and the complexity of the tool’s features. Advanced tools with extra features like automation or integration typically have higher subscription fees.
Decodo offers simple, flexible pricing. We have two main plans: Core for essential features and Advanced for more complex needs. You can start with packages as low as $0.08/1K requests and easily scale up based on your needs. If you’ve got a special project, we’d be happy to work with you on a custom plan.
What are the hidden costs of using a YouTube scraper?
Decodo has no hidden costs – we pride ourselves on transparent pricing and clear communication. You get exactly what you pay for, with no surprises or extra fees.
How can scraped YouTube data be used for market analysis?
Scraped YouTube data provides valuable market insights by revealing consumer preferences, trending topics, and competitor activities. Analyzing video performance, such as views, likes, and comments, helps businesses understand engagement metrics and tailor their marketing strategies accordingly.
Scraped YouTube data is a goldmine for market analysis. It gives you insight into consumer preferences, trending topics, and competitor activities.
How can scraped data be integrated with CRM, analytics platforms, or other business tools?
The YouTube data that you scrape can be integrated with CRM systems, analytics platforms, and other business tools to streamline workflow automation and make better data-driven decisions. This integration gives you real-time updates, improves customer segmentation, and helps you plan content strategically based on live video trends.
How can scraped YouTube data enhance SEO strategies?
Scraped YouTube data gives valuable data for your SEO strategies. You’ll get data that can be used to analyze popular keywords and video transcripts to improve the quality and visibility of your content. This helps you optimize for both search engine optimization and YouTube's own algorithms, so your content ranks higher and reaches a wider audience.
How does a YouTube scraper handle large datasets?
Decodo’s YouTube scraper API handles large data volumes using techniques like pagination and bulk upload. These methods break the data extraction into smaller, manageable chunks for stable performance and to prevent system overload, even during high-volume operations. This makes data management much more efficient and reliable.
What should I do if my YouTube scraper stops working suddenly?
If your scraper stops working, it’s usually due to page structure changes on YouTube or API limitations. Start by checking for any updates or changes to the page structure and make sure your scraper is aligned with YouTube’s latest formats. Regular updates are key to keeping everything running smoothly.
If you're using Decodo and these steps don't solve the issue, our tech support is available 24/7 for scraper troubleshooting. Feel free to reach out anytime!
How do I ensure compliance with YouTube's Terms of Service?
To stay on the safe side, make sure you’re only scraping public data – never anything private, sensitive, or any kind of confidential information. Best practices also include checking YouTube’s policy updates from time to time so you can avoid any legal issues or interruptions to your scraping.
How do I set up a YouTube scraper?
Setting up a YouTube scraper starts with choosing the right tool. Think about the kind of data you need, how often you want to collect it, your budget, and any technical features you might need. The best way to find the right fit is to test it out – our YouTube scraper is available anytime on the API Playground.
If you’ve already picked Decodo and set up your account and plan, here’s how you can set it up:
Start your scraper setup by entering the YouTube channel or video URLs you want to scrape.
Choose YouTube Transcript or YouTube Metadata scraper.
Select the language code and other settings.
Send a request and choose your result formats, such as CSV or JSON, to download and use the data.
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YouTube Scraper API for Your Data Needs
Gain access to real-time data at any scale without worrying about proxy setup or blocks.