Advanced Data Scraping Solutions
Effortless, reliable, and ready to use – data scrapers are designed to make extracting data from websites as simple as it should be.
100% success rate
Easy integration
7-day free trial
HTML, JSON, or parsed
Synchronous or asynchronous requests
Headless scraping
Task scheduling
What is data scraping?
Data scraping is the automated extraction of data from digital sources. By leveraging software tools or scripts, businesses and individuals can collect valuable data from websites, social media platforms, eCommerce marketplaces, and more, transforming vast amounts of unstructured content into actionable insights.
Search engine scraping
Search engine scraping focuses on gathering data like rankings, keywords, and metadata for SEO analysis and tracking competitor performance.
Social media scraping
Social media scraping entails collecting information from social media websites, including posts, comments, followers, hashtags, etc.
eCommerce scraping
eCommerce scraping is about extracting data from online marketplaces, such as product listings, pricing, inventory levels, and more.
How does data scraping work?
Data scraping operates by identifying specific data points on digital platforms and capturing them through automated tools. This process organizes raw information into a structured format, enabling seamless analysis and integration.
Data request
The scraping tool sends a request to the target page, retrieving its content, such as text, images, or code, for further processing.
Data parsing
The tool scans the retrieved content, isolating and extracting the specific data fields you need, such as prices, titles, or metadata.
Output and display
The extracted data is compiled into a structured format, such as a spreadsheet or database, ready for analysis or integration.
Data scraping techniques
HTML parsing
Extracting data directly from the HTML structure of web pages using libraries like BeautifulSoup (Python) or Cheerio (JavaScript).
DOM parsing
Utilizing the Document Object Model (DOM) to navigate and extract data from structured web content programmatically.
API interaction
Accessing data directly from websites or services through their provided APIs, offering structured and often cleaner data compared to web scraping.
Headless browser automation
Simulating user behavior in a browser (without a GUI) using tools like Puppeteer or Selenium to handle dynamic content and JavaScript-heavy websites.
Regular expressions (Regex)
Using pattern matching to identify and extract specific data directly from raw text or HTML, suitable for simple and well-structured content.
Explore our data scraping infrastructure
Discover powerful web data collection solutions and find the perfect match for your use case.
What are Smartproxy scrapers?
Our ready-made scraping solutions simplify data extraction and help you save time through tools built for specific targets and use cases.
SERP Scraping API
A comprehensive solution for extracting structured data from all major search engine results pages, complete with a proxy network, scraper, and parser. Learn more
eCommerce Scraping API
A full-stack tool for gathering real-time structured data from eCommerce websites in bulk to help you make data-driven decisions and thrive in the market. Learn more
Web Scraping API
An all-in-one data collection tool, designed for targets not covered by our other scrapers, handling proxy management and eliminating the need for custom app development. Learn more
Social Media Scraping API
An all-inclusive solution for retrieving structured social media data at any scale and staying ahead of trends without worrying about proxies or blocks. Learn more
See our data scraping solutions in action
Eliminate the need to build your own data extraction tool from scratch and achieve a 100% success rate on every request with our advanced data scrapers.
curl --request 'POST' \--url 'https://scrape.smartproxy.com/v1/tasks' \--header 'Accept: application/json' \--header 'Authorization: Basic xxxxxxxxxxxxxxxx' \--header 'Content-Type: application/json' \--data '{"target": "universal","url": "https://ip.smartproxy.com/","locale": "en-us","geo": "United States","device_type": "desktop"}'
Learn how data scrapers work
Simplify your data collection tasks and start with our ready-made scraping solutions within minutes. Get real-time data from even the most protected websites without a single hassle.
Data scrapers for every use case
Effortlessly gather data from eCommerce platforms, search engine results pages (SERPs), and other websites without restrictions. Make informed, data-driven decisions with our user-friendly data scrapers tailored to every use case.
Web scraping
Collect relevant data from the World Wide Web at scale with a 100% success rate. Learn more
Price aggregation
Gather neatly structured pricing and market data by sending just one API request. Learn more
AI data collection
Train your LLMs and AI models with real-time data from various websites. Learn more
What people are saying about us
We're thrilled to have the support of our 50K+ clients and the industry's best
Featured in:
Smartproxy blog
Build knowledge on our solutions, or pick up some fresh ideas for your next project – our blog is just the perfect place.
Most recent
How to Scrape Amazon ASIN
Imagine you want to collect ASINs (Amazon Standard Identification Numbers) for all the products that appear on Amazon after searching for a specific item. This can be incredibly useful for tasks like market research, competitor analysis, or managing your own product listings. With our Amazon ASIN scraper, you can easily gather these ASINs directly from the search results, making the data collection process quick and efficient. In this guide, we’ll show you how to use our ready-made Amazon scraper to extract ASINs and explain how this information can benefit your business.
Dominykas Niaura
Dec 03, 2024
7 min read
Most popular
Behind the Clicks: Most Scraped Websites of 2024
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. Instagram and massive sales from it.
Dominykas Niaura
Jul 03, 2024
10 min read
Amazon Product Data Scraping with Datacenter Proxies
This comprehensive guide will explore the powerful capabilities of Smartproxy's datacenter proxies for scraping Amazon product data. Whether you're an eCommerce professional, researcher, or developer seeking to extract those juicy insights from Amazon's marketplace, you'll discover how Smartproxy's datacenter proxies can be a cost-effective solution to enhance your workflow, improve results and conquer any typical obstacles encountered while web scraping.
Zilvinas Tamulis
Oct 30, 2023
15 min read
OnlyFans Scraping: The Complete Guide 2024
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!
James Keenan
Jan 15, 2024
6 min read
How to Scrape Google Maps: A Step-By-Step Tutorial 2024
Google Maps is a beautiful tool that allows anyone to travel the world with their eyes and see many fascinating things. If you’re a nomad, it’s your go-to companion in finding the next destination. But if you’re a data collection enthusiast, you should be excited about the potential data that Google Maps holds. In this blog post, we’ll discuss the benefits of scraping Google Maps, provide a comprehensive guide on how to do it using Python and our residential proxies, and introduce our ready-made scraper for those who prefer not to code.
Dominykas Niaura
Mar 29, 2024
10 min read
How to Leverage ChatGPT for Effective Web Scraping
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.
Dominykas Niaura
Feb 28, 2024
8 min read
Google Sheets Web Scraping: An Ultimate Guide for 2024
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.
Zilvinas Tamulis
Jan 26, 2024
6 min read
How to Scrape GitHub: A Practical Tutorial 2024
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.
Zilvinas Tamulis
Mar 29, 2024
10 min read
Frequently asked questions
How is data mining different from data scraping?
Data scraping is a process of collecting raw data from various platforms, often using APIs or automated tools. Data mining, meanwhile, takes the collected or existing datasets and applies statistical methods, machine learning, or algorithms to uncover hidden patterns, trends, and actionable insights. In essence, scraping gathers the data, while mining interprets and adds value to it.
What are the best data scraping tools?
The best data scraping tools depend on your specific needs, such as the type of data and the complexity of the target website. Popular options include Smartproxy’s Scraping APIs for reliable, scalable extraction, as well as tools like BeautifulSoup for HTML parsing, Selenium for browser automation, and Scrapy for large-scale web crawling.
How to scrape data from a website?
To scrape data from a website, you can use programming languages like Python with libraries such as Beautiful Soup or Scrapy to build custom scripts. Alternatively, dedicated scraping tools or APIs, like Smartproxy’s Scraping APIs, offer a more user-friendly, efficient way to automate and streamline the data extraction process without requiring extensive coding knowledge.
What is screen scraping?
Screen scraping is a data collection technique where software automatically navigates a user interface, interacts with content, and extracts information from the HTML or other data displayed on the screen.
What is the difference between structured and unstructured data?
Structured data is highly organized and stored in a predefined format, such as databases or spreadsheets, making it easy to search and analyze. Unstructured data, on the other hand, lacks a clear format or organization and can include diverse content types like text, images, videos, or raw scraped data that require processing to extract meaningful insights.
What is the difference between web scraping and data scraping?
Web scraping is a subset of data scraping that focuses specifically on extracting data from websites, using tools or scripts to gather information from web pages. Data scraping, on the other hand, encompasses the broader practice of extracting data from any digital source, including APIs, documents, databases, or software applications.
Cut Time on Data Collection
Gather structured data on any scale without worrying about CAPTCHAs or blocks.
14-day money-back option