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JavaScript is a popular programming language for creating dynamic web pages. In 2022, 98.7% of global websites relied on JavaScript as their preferred client-side programming language.
Scraping data from JavaScript-rendered pages is not an easy task. Unlike static pages, dynamic elements constantly change in real-time. This attribute makes it difficult for automated web scraping because regular tools cannot spot these changes.
Despite the challenges, there are still ways to extract data from JavaScript-rendered pages. Continue reading to discover the steps to scrape data even from the most complex dynamic pages.
🔑 Key Takeaways
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When scraping data from a JavaScript-generated page, only a portion of the website content is loaded properly. Some JavaScript functions need to be executed to load specific content.
Scraping a website with JavaScript can be challenging due to two main reasons. These are:
Rate limiting, IP blocking, and CAPTCHAs are anti-scraping measures put in place so website owners can protect their data. These features reduce server load and save website performance.
Content loads at different times on JavaScript-rendered web pages. As a result, the content you're looking for has not loaded yet when you try to scrape it.
Scraping content from JavaScript-based web pages requires specialized tools to interpret the code. JavaScript processing occurs within web browsers after page loading.
These specialized tools are known as Headless Browsers. They act like real browsers but are controlled programmatically.
Here are other tools that you will need to scrape JavaScript-generated pages:
🎉 Fun Fact It seems ironic, but Nightmare.js is a dream tool for automating browser tasks. Nightmare.js has a simple API to interact with websites and a built-in testing framework to check if things are working as they should. |
In this section, you will learn how to use Puppeteer to scrape a website and save the extracted file.
Step 1: Install Dependencies
Install Node.js on your computer. Open the terminal and navigate to the folder you want to work for your scraping project.
Use this command to install Puppeteer and its necessary components:
npm install puppeteer |
Step 2: Create a New File
Create a new JavaScript file using your code editor in the same folder you used in the first step.
Step 3: Write the Scraping Code
In the new JavaScript file, start writing your scraping code. The code below is an example of scraping a website and saving its contents:
const puppeteer =required(‘puppeteer’); const fs = require(‘fs’); (async () => { const browser = await puppeteer.launch(); const page = await browser.newPage(); await page.goto(‘https://www.insert-url.com’); const content = await page.content(); fs.writeFileSync(‘extracted.html’, content); await browser.close(); })(); |
Change “insert-url” to the URL of the website you want to scrape.
Step 4: Save the File
Save your JavaScript file with a “.js” extension.
Step 5: Run the Code
Open your terminal again and navigate to the folder where your JavaScript file is located. Run this command to execute your code:
node your-file-name.js |
Step 6: View the Extracted File
Open the extracted file using your browser to see the scraped content.
The following are some general tips and tricks for scraping JavaScript web pages:
Choose a Headless Browser. Use tools like Puppeteer or Selenium to load and interact with JavaScript on the page. |
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Inspect Page Source. Examine the website's source code to find the elements you want to scrape. |
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Explore API Endpoints. Check if the websites use external API endpoints to fetch data. You can request data directly from these endpoints. |
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Utilize Specialized Tools. Libraries or tools like BeautifulSoup are designed to handle websites heavy on JavaScript. Consider using them. |
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Check Website Policies. Always read the site’s Terms of Service. Some websites may prohibit scraping, so guarantee you comply before scraping. |
Scraping data from JavaScript-rendered pages means dealing with changing structures and anti-scraping measures. However, with the right tools and techniques, data extraction becomes possible.
Tools like Puppeteer, Selenium, Nightmare.js, and Playwright are vital for automating JavaScript-based web scraping. Using headless browsers, inspecting page sources, and exploring API endpoints enable efficient data collection.
No, Jupyter is not typically used for JavaScript. Jupyter is a popular tool for interactive data analysis and visualization in Python, not JavaScript.
To get the page source after executing JavaScript, you can use Selenium in Python. After loading a page with Selenium, you can obtain the page source with the attribute 'page_source.'
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