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
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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
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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.
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