Python Script for Bol.com Product Data Scraping (No API, Anti-Scraping Bypass)
Budget: €30 – €250 EUR
Project Description
We are looking for an experienced Python developer to create a web scraping script that extracts product data from Bol.com product pages without using any APIs. The script will take a list of product EAN codes as input, navigate to each corresponding product page on Bol.com, and scrape various product details. Bol.com has strong anti-scraping protections in place, so the script must be carefully optimized to bypass these measures and ensure efficient, reliable data extraction.
Requirements
• Input: The script should accept a list of EAN codes (European Article Numbers) as input and process each corresponding Bol.com product page.
• Data Extraction: For each product page, scrape the following details:
• Title
• Description
• High-resolution Image URLs
• Materials
• Weight
• Packaging Dimensions (height, width, depth)
• Categories
• Color
• Other relevant product attributes available on the page (any additional specs or details provided for the product).
• Data Output: The script must save the extracted data in both a local CSV file and a Google Drive file. Each row should correspond to a product/EAN, with columns for each of the above attributes.
• Libraries/Dependencies: Include all necessary Python libraries and dependencies in the script (e.g., requests, BeautifulSoup, Selenium, pandas, etc.) so that it can run smoothly without missing components. Provide clear instructions or comments on how to install any required packages.
• Performance: Optimize the extraction process for speed and efficiency. Implement techniques like parallelization (processing multiple pages concurrently), asynchronous requests, or request throttling as needed to accelerate the scraping while avoiding detection.
• Anti-Scraping Bypass: The solution must not use any official APIs and should effectively handle Bol.com’s anti-bot/anti-scraping protections. This may involve using randomized headers/user agents, handling cookies, managing delays, rotating proxies or IP addresses, and solving or avoiding CAPTCHAs or other bot detection methods. The script should be robust against being blocked or served misleading content.
• Reliability: Ensure the script is robust and fault-tolerant. It should handle potential errors gracefully (such as network issues, changes in page layout, or missing data fields) and log or report any products that could not be scraped.
Additional Notes
• We are only interested in the Python script, not the extracted data itself. The deliverable is the source code with documentation on how to run it.
• Do not apply if you lack experience with web scraping and anti-scraping bypass techniques. We are seeking someone who has handled similar challenges and can demonstrate the ability to overcome anti-bot measures.
• We are not interested in alternative solutions that do not meet these exact requirements. Please do not propose use of unofficial APIs, third-party scraping services, or any approach that deviates from the above specifications.
This project is for a developer who can build a robust, fast, and reliable scraping solution for Bol.com. If you meet all the requirements above and have the necessary experience, please submit your proposal – we look forward to working with you!
We are looking for an experienced Python developer to create a web scraping script that extracts product data from Bol.com product pages without using any APIs. The script will take a list of product EAN codes as input, navigate to each corresponding product page on Bol.com, and scrape various product details. Bol.com has strong anti-scraping protections in place, so the script must be carefully optimized to bypass these measures and ensure efficient, reliable data extraction.
Requirements
• Input: The script should accept a list of EAN codes (European Article Numbers) as input and process each corresponding Bol.com product page.
• Data Extraction: For each product page, scrape the following details:
• Title
• Description
• High-resolution Image URLs
• Materials
• Weight
• Packaging Dimensions (height, width, depth)
• Categories
• Color
• Other relevant product attributes available on the page (any additional specs or details provided for the product).
• Data Output: The script must save the extracted data in both a local CSV file and a Google Drive file. Each row should correspond to a product/EAN, with columns for each of the above attributes.
• Libraries/Dependencies: Include all necessary Python libraries and dependencies in the script (e.g., requests, BeautifulSoup, Selenium, pandas, etc.) so that it can run smoothly without missing components. Provide clear instructions or comments on how to install any required packages.
• Performance: Optimize the extraction process for speed and efficiency. Implement techniques like parallelization (processing multiple pages concurrently), asynchronous requests, or request throttling as needed to accelerate the scraping while avoiding detection.
• Anti-Scraping Bypass: The solution must not use any official APIs and should effectively handle Bol.com’s anti-bot/anti-scraping protections. This may involve using randomized headers/user agents, handling cookies, managing delays, rotating proxies or IP addresses, and solving or avoiding CAPTCHAs or other bot detection methods. The script should be robust against being blocked or served misleading content.
• Reliability: Ensure the script is robust and fault-tolerant. It should handle potential errors gracefully (such as network issues, changes in page layout, or missing data fields) and log or report any products that could not be scraped.
Additional Notes
• We are only interested in the Python script, not the extracted data itself. The deliverable is the source code with documentation on how to run it.
• Do not apply if you lack experience with web scraping and anti-scraping bypass techniques. We are seeking someone who has handled similar challenges and can demonstrate the ability to overcome anti-bot measures.
• We are not interested in alternative solutions that do not meet these exact requirements. Please do not propose use of unofficial APIs, third-party scraping services, or any approach that deviates from the above specifications.
This project is for a developer who can build a robust, fast, and reliable scraping solution for Bol.com. If you meet all the requirements above and have the necessary experience, please submit your proposal – we look forward to working with you!