Scraper-web data scraping tool
AI-Powered Web Scraping Simplified
How can you help me scrape data from a website?
Please click the accept cookies button before scraping the html, therefore help me finding the correct xpath for the button to click.
Scrape and extract product data of my target website.
Please scrape https://www.tiktok.com/trending and extract information about trending tiktoks.
Please scrape https://www.galaxus.ch/de/sale and extract product names, pricings and availability of products on sale.
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Introduction to Scraper
Scraper is a specialized AI-driven tool designed to facilitate web scraping tasks using the HQData.com API. Its primary purpose is to assist users in extracting data from websites efficiently, leveraging advanced technologies like browser emulation, global proxy networks, and state-of-the-art parsing techniques. Scraper is equipped to handle dynamic content, interact with websites through custom JavaScript scenarios, and provide detailed analysis of the resulting data. For instance, Scraper can be used to gather product information from e-commerce sites, collect review data from platforms like Trustpilot, or scrape job listings from employment sites like Indeed.
Main Functions of Scraper
Interact with Websites Using Custom JavaScript Scenarios
ExampleAutomating the acceptance of cookie policies or navigating through multi-step forms.
ScenarioA user wants to scrape data from a site that requires accepting cookies before accessing the main content. Scraper can use a JavaScript scenario to click the 'Accept Cookies' button and proceed with the data extraction.
Parse and Analyze Resulting Data
ExampleExtracting specific data elements like HTML content, links, cookies, and headers from a target website.
ScenarioAn analyst needs to extract and analyze all product prices and descriptions from an e-commerce site. Scraper can parse the HTML to locate and extract this information, providing it in a structured format for further analysis.
Global Proxy Network
ExampleAccessing geo-restricted content by routing requests through servers located in different regions.
ScenarioA researcher needs to scrape content that is only accessible from a specific country. By utilizing Scraper's global proxy network, the researcher can access and extract the required data despite geographical restrictions.
Ideal Users of Scraper Services
Market Researchers
Market researchers benefit from Scraper by gathering competitive intelligence, pricing data, and customer reviews. The ability to automate data collection from various sources allows for comprehensive market analysis and informed decision-making.
Data Analysts
Data analysts use Scraper to automate the extraction of large datasets from websites, enabling them to focus on data interpretation and insights generation. Scraper's ability to handle dynamic content and interact with websites simplifies the data collection process for complex analyses.
How to Use Scraper
1
Visit aichatonline.org for a free trial without login, no need for ChatGPT Plus.
2
Explore the HQData.com scraping engine, selecting the module that best suits your needs from the available options.
3
Input the target website URL and configure any specific parameters, such as JavaScript scenarios for dynamic content or proxies for geo-restricted sites.
4
Run the scraping task and monitor its progress using the provided job ID. Fetch results once the task is completed.
5
Analyze the retrieved data, utilizing options to download HTML sources or view screenshots of the scraped content for validation and further use.
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Frequently Asked Questions about Scraper
What types of websites can Scraper handle?
Scraper can handle a wide range of websites, including those with dynamic content, using browser emulation and JavaScript scenarios. It can also bypass geo-restrictions using a global proxy network.
How do I specify actions for dynamic content?
You can use the 'js_scenario' field to define actions such as clicking elements, sending keys to input fields, or scrolling. Each action needs to be formatted correctly with XPath references.
Can Scraper handle large volumes of data?
Yes, Scraper can handle large volumes of data. If the data exceeds the size limit, it can be split into chunks for easier processing and retrieval.
How do I access the results of my scraping task?
Once your task is completed, you can use the job ID to fetch the results, which can include HTML content, patterns, and screenshots, through the HQData.com API.
What should I do if a task fails?
If a task fails, Scraper provides feedback on the issue. You can review any potential problems, such as missing elements or pop-ups, and retry the task. Screenshots can help diagnose issues.