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Hadriana Misaki replied to the discussion How to scrape freelancer profiles from Fiverr.com using JavaScript? in the forum General Web Scraping a year ago
Reply to How to scrape freelancer profiles from Fiverr.com using JavaScript?
Adding pagination support is crucial for scraping all freelancer profiles from Fiverr.com. The site displays a limited number of profiles per page, so navigating through all pages ensures that you collect a complete dataset. This can be done by identifying the “Next” button or pagination links and automating the process of clicking and…
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Hadriana Misaki replied to the discussion What product details can I scrape from Vistaprint.com using Ruby? in the forum General Web Scraping a year ago
Reply to What product details can I scrape from Vistaprint.com using Ruby?
Pagination handling is crucial for scraping Vistaprint’s entire product range. Products are often spread across multiple pages, and automating navigation through “Next” buttons ensures that no data is missed. Adding random delays between requests reduces the risk of detection by mimicking human behavior. This functionality is essential for…
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Hadriana Misaki replied to the discussion How can I scrape product details from Snapfish.com using Python? in the forum General Web Scraping a year ago
Reply to How can I scrape product details from Snapfish.com using Python?
Adding pagination to the Snapfish scraper is necessary for collecting a complete dataset of products. Products are often distributed across several pages, and automating the navigation through “Next” buttons ensures all items are captured. Introducing random delays between requests mimics human behavior, reducing the risk of detection by…
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Hadriana Misaki replied to the discussion How to scrape restaurant reviews from UberEats.com using JavaScript? in the forum General Web Scraping a year ago
Reply to How to scrape restaurant reviews from UberEats.com using JavaScript?
Adding pagination to the UberEats scraper ensures that all restaurant reviews are collected. Reviews and ratings are often distributed across multiple pages, and automating navigation through the “Next” button ensures a complete dataset. Introducing random delays between requests mimics human behavior, reducing the likelihood of detection.…
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Hadriana Misaki changed their photo a year ago
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Hadriana Misaki became a registered member a year ago
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Noraina Nordin posted a new post. a year ago
Learn how to build a Yahoo scraper in Python to extract search data, including titles and descriptions. Step-by-step guide with source code.Yahoo’s search engine offers unique insights and opportunities for […]
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Jacinda Thilini replied to the discussion How do you scrape data from websites with infinite scrolling? in the forum General Web Scraping a year ago
Reply to How do you scrape data from websites with infinite scrolling?
I’ve found that inspecting network traffic for API calls is the easiest way to scrape infinite scrolling sites. It’s faster and avoids the overhead of rendering the page.
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Jacinda Thilini replied to the discussion How to handle CAPTCHA challenges in web scraping projects? in the forum General Web Scraping a year ago
Reply to How to handle CAPTCHA challenges in web scraping projects?
Using a CAPTCHA-solving service is straightforward but can be slow and expensive for large-scale scraping. I prefer using IP rotation to avoid triggering CAPTCHAs in the first place.
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Jacinda Thilini started the discussion What data can be extracted from MarksandSpencer.com using Python? in the forum General Web Scraping a year ago
What data can be extracted from MarksandSpencer.com using Python?
Scraping data from MarksandSpencer.com using Python allows you to gather details such as product names, prices, and availability across categories like clothing, food, and homeware. Marks & Spencer is a leading retailer in the UK, offering a wide range of products that make it an excellent source for market research. Using Python, you can…
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