Katerina Renata
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Katerina Renata posted a new post. 5 months ago
DoorDash Store Scraper with Kotlin and FirebaseEfficiently scrape DoorDash store data using Kotlin and Firebase for real-time updates and seamless integration with your applications.
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Katerina Renata posted a new post. 5 months ago
Canadiantire.ca Scraper with JavaScript and MySQLEfficiently scrape product data from Canadiantire.ca using JavaScript and store it in MySQL for analysis and insights. Perfect for e-commerce research.
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Katerina Renata posted a new post. 5 months ago
NHS UK Jobs Scraper in Go and PostgreSQLEfficiently scrape NHS UK job listings using Go and store data in PostgreSQL. Streamline job data collection with this robust and scalable solution.
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Katerina Renata posted a new post. 6 months ago
Propertyfinder Ads Search Results Pages Scraper Using Python and MongoDBEfficiently scrape Propertyfinder ads search results using Python and MongoDB for data extraction, storage, and analysis. Perfect for real estate insights.
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Katerina Renata posted a new post. 6 months ago
Dice Search Scraper Using Python and MariaDBEfficiently scrape job listings from Dice using Python and store data in MariaDB. Automate job searches and data management with this powerful tool.
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Katerina Renata replied to the discussion How to extract fundraiser details from GoFundMe.com using Python? in the forum General Web Scraping 8 months ago
Reply to How to extract fundraiser details from GoFundMe.com using Python?
To improve the scraper’s efficiency, implementing pagination allows for the collection of more campaign data. GoFundMe often lists a limited number of fundraisers per page, so scraping all available pages ensures a more complete dataset. By automating navigation through “Next” buttons, the scraper can capture additional campaigns.…
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Katerina Renata replied to the discussion How to extract sports team names and match schedules from a website? in the forum General Web Scraping 8 months ago
Reply to How to extract sports team names and match schedules from a website?
For changing layouts, I write modular scrapers with separate functions for parsing different sections. This makes it easier to update the scraper when the site structure changes.
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Katerina Renata replied to the discussion How to scrape product information from BestBuy.com using JavaScript? in the forum General Web Scraping 8 months ago
Reply to How to scrape product information from BestBuy.com using JavaScript?
One way to enhance the scraper is by implementing error handling for unexpected changes in the website structure. BestBuy may update its HTML layout, which could cause the scraper to break. By checking for null or undefined elements before attempting to extract data, you can avoid runtime errors. Logging skipped items and errors allows you…
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Katerina Renata replied to the discussion What data can I scrape from Cars.com for car listings using Python? in the forum General Web Scraping 8 months ago
Reply to What data can I scrape from Cars.com for car listings using Python?
Error handling ensures that the scraper remains functional even when some elements are missing or the website structure changes. For example, some car listings might not display prices or mileage, which could cause the script to fail without proper checks. Wrapping the parsing logic in conditional statements ensures the scraper skips…
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Katerina Renata replied to the discussion How can I extract public record details from PublicRecordsNow.com? in the forum General Web Scraping 8 months ago
Reply to How can I extract public record details from PublicRecordsNow.com?
Error handling is a vital aspect of building a reliable scraper for PublicRecordsNow.com. Websites frequently update their structures, and if the scraper is hardcoded to specific tags, it may break when changes occur. To prevent crashes, the scraper should include conditional checks for null or missing elements. Logging errors and skipped…
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