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    Profile photo of Lalitha Kreka
    @LalithaKreka

    Lalitha Kreka

    I find peace and inspiration in exploring botanical gardens.
    United States
    Joined Dec 2024

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    • Profile photo of Lalitha Kreka

      Lalitha Kreka posted a new post. 6 months ago

      6 months ago

      A futuristic digital data harvesting process showcasing Java and Firebase extracting fashion trends brand popularity and customer ratings from ZOZO
      Extracting Cashback Offers from Ecnavi.jp via PHP & MariaDB: Collecting Points Rewards and Shopping Trends for Consumer Insights

      Learn to extract cashback offers from Ecnavi.jp using PHP & MariaDB, gathering points rewards and shopping trends for valuable consumer insights.

    • Profile photo of Lalitha Kreka

      Lalitha Kreka replied to the discussion How can I scrape product details from JD Central Thailand using Python n Scrapy? in the forum General Web Scraping 8 months ago

      8 months ago

      Reply to How can I scrape product details from JD Central Thailand using Python n Scrapy?

      To scrape product details from JD Central Thailand, you’ll need to target the HTML elements containing product names, prices, and availability. JD Central’s product listings typically contain structured data inside specific class attributes. Scrapy makes it easy to extract this data using CSS selectors. Handling pagination correctly is essential…

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    • Profile photo of Lalitha Kreka

      Lalitha Kreka replied to the discussion Scrape product availability, price from Central Thailand’s using Python n Scrapy in the forum General Web Scraping 8 months ago

      8 months ago

      Reply to Scrape product availability, price from Central Thailand’s using Python n Scrapy

      The Central Thailand website may require special handling when scraping product prices and availability due to the dynamic nature of its e-commerce platform. Using Scrapy, you can easily handle the extraction of product details using selectors, while dealing with issues like pagination and dynamic content loading. One key step is to identify…

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      Lalitha Kreka started the discussion Scrape product name, review count, and availability from Casas Bahia Brazil? in the forum General Web Scraping 8 months ago

      8 months ago

      Scrape product name, review count, and availability from Casas Bahia Brazil?

      To scrape the product name from Casas Bahia Brazil, use BeautifulSoup in Python to extract the product title. The product name is often contained within a h1 or span tag with a specific class. You can easily grab it after fetching the HTML content using requests and parsing it with BeautifulSoup.

      import requests from bs4 import BeautifulSoup

      url…

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      Lalitha Kreka changed their photo 8 months ago

      8 months ago

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      Lalitha Kreka became a registered member 8 months ago

      8 months ago

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