High-Speed Web Scraping for Text Content
Budget: ₹12,500 – ₹37,500 INR
We are looking for a skilled freelancer to assist us with a high-speed web scraping project. Our existing web scraping scripts have been developed and deployed, but we need to optimize the scraping process to achieve faster data extraction rates.
Responsibilities:
Optimize existing web scraping scripts for speed and efficiency.
Deploy and manage web scraping scripts on platforms such as Scrapy Cloud, Apify, AWS Lambda, or Azure.
Implement techniques to ensure high-speed data extraction (e.g., parallel processing, distributed crawling, efficient request handling).
Monitor and troubleshoot scraping processes to ensure uninterrupted operation.
Collaborate with our team to understand project requirements and adjust scraping strategies as needed.
Requirements:
Proven experience with web scraping using platforms like Scrapy Cloud, Apify, AWS Lambda, or Azure.
Proficiency in Python only relevant programming commonly used for web scraping.
Strong understanding of web scraping techniques, including but not limited to HTML parsing, DOM traversal, and data extraction.
Experience with optimizing scraping scripts for speed and scalability.
Familiarity with cloud-based infrastructure and services for deploying and managing web scraping scripts.
Excellent problem-solving skills and attention to detail.
Nice to have:
Experience with optimizing scraping scripts to achieve high-speed data extraction rates (e.g., scraping 10M rows per day).
Knowledge of proxy management, IP rotation, and other techniques for avoiding IP bans and accessing blocked websites.
Familiarity with databases like MongoDB for storing scraped data.
Terms:
This is a remote freelance position.
The project duration is [specify duration].
Payment will be negotiated based on the scope of work and deliverables.
Responsibilities:
Optimize existing web scraping scripts for speed and efficiency.
Deploy and manage web scraping scripts on platforms such as Scrapy Cloud, Apify, AWS Lambda, or Azure.
Implement techniques to ensure high-speed data extraction (e.g., parallel processing, distributed crawling, efficient request handling).
Monitor and troubleshoot scraping processes to ensure uninterrupted operation.
Collaborate with our team to understand project requirements and adjust scraping strategies as needed.
Requirements:
Proven experience with web scraping using platforms like Scrapy Cloud, Apify, AWS Lambda, or Azure.
Proficiency in Python only relevant programming commonly used for web scraping.
Strong understanding of web scraping techniques, including but not limited to HTML parsing, DOM traversal, and data extraction.
Experience with optimizing scraping scripts for speed and scalability.
Familiarity with cloud-based infrastructure and services for deploying and managing web scraping scripts.
Excellent problem-solving skills and attention to detail.
Nice to have:
Experience with optimizing scraping scripts to achieve high-speed data extraction rates (e.g., scraping 10M rows per day).
Knowledge of proxy management, IP rotation, and other techniques for avoiding IP bans and accessing blocked websites.
Familiarity with databases like MongoDB for storing scraped data.
Terms:
This is a remote freelance position.
The project duration is [specify duration].
Payment will be negotiated based on the scope of work and deliverables.