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Extract reviews, pricing, product specifications from Tesco UK using Node.js
Scraping data from Tesco UK requires careful planning to handle the dynamic content commonly found on their website. The first step is to identify the key elements on the webpage that correspond to customer reviews, pricing trends, and product specifications. This can be done by inspecting the HTML structure using browser developer tools. Often, reviews and specifications are located in sections that require JavaScript to load fully, making tools like Puppeteer in Node.js a perfect fit.
Customer reviews are typically nested within a dedicated reviews section. They might be rendered dynamically, so it is essential to ensure that the reviews are fully loaded before extracting the data. Puppeteer allows you to wait for specific elements to appear on the page, ensuring the content is ready to scrape. After locating the review elements, you can extract the reviewer name, review text, and rating details.
Pricing trends can be derived by capturing price data over time or across different pages. Scraping multiple product pages or visiting the same page periodically can help analyze pricing fluctuations. The price element is usually located in a span or div tag with specific classes, which can be targeted using Puppeteer’s query selector methods.
Product specifications, such as weight, dimensions, and ingredients for food items, are often listed in a dedicated section of the product page. These details are typically presented in a table or as a series of div elements. Puppeteer’s ability to interact with the DOM makes it easy to locate and extract this information accurately.
Below is the complete Node.js script using Puppeteer to scrape customer reviews, pricing trends, and product specifications from Tesco UK.const puppeteer = require('puppeteer'); (async () => { const browser = await puppeteer.launch({ headless: true }); const page = await browser.newPage(); // Navigate to the product page await page.goto('https://www.tesco.com/product-page'); // Scrape customer reviews await page.waitForSelector('.reviews-section'); const reviews = await page.$$eval('.review', reviews => { return reviews.map(review => { const reviewer = review.querySelector('.reviewer-name')?.innerText; const rating = review.querySelector('.review-rating')?.innerText; const reviewText = review.querySelector('.review-text')?.innerText; return { reviewer, rating, reviewText }; }); }); console.log('Customer Reviews:', reviews); // Scrape pricing trends const price = await page.$eval('.price', el => el.innerText); console.log('Current Price:', price); // Scrape product specifications const specifications = await page.$$eval('.product-specs li', specs => { return specs.map(spec => spec.innerText); }); console.log('Product Specifications:', specifications); await browser.close(); })(); -
4 Replies
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The script can be improved by adding error handling for elements that may not load properly due to network delays or changes in the website structure. For example, adding a try-catch block around the scraping functions can ensure the script continues running even if a specific section fails.
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Enhancements can include automating the process of collecting pricing trends by scheduling the script to run periodically using tools like cron jobs. This way, you can monitor and store price changes over time for analysis.
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To improve data organization, the scraped reviews, pricing, and specifications could be stored in a database like MongoDB instead of just logging them to the console. This approach allows for better querying and data management.
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Finally, adding support for scraping additional related products by navigating through product recommendations or similar items listed on the page can make the script more comprehensive. This would help gather insights on related offerings from Tesco.
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