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Python Web Scraping Engineer
3 weeks ago
We are seeking a highly skilled and experienced Python Web Scraping Engineer with 4 to 6 years of experience to join our team.
The ideal candidate will have a strong background in web scraping, data extraction, and automation using Python.
As a Python Web Scraping Engineer, you will be responsible for developing and maintaining web scraping scripts, extracting data from various sources, and delivering high-quality datasets for analysis and :
Web Scraping Development :
- Design, develop, and maintain web scraping scripts and automation tools using Python.
- Write efficient and scalable code to extract data from websites, APIs, databases, and other online sources.
Data Extraction :
- Implement data extraction techniques to retrieve structured and unstructured data from HTML pages, JSON responses, XML documents, and other formats.
- Handle pagination, AJAX requests, and dynamic content rendering.
Data Transformation :
- Clean, preprocess, and transform raw data into usable formats for analysis and visualization.
- Perform data validation, deduplication, normalization, and enrichment as needed.
Proxy Rotation and CAPTCHA Handling :
- Implement strategies for proxy rotation and CAPTCHA handling to bypass rate limits, IP blocks, and other anti-scraping measures.
- Use proxy servers, user-agent rotation, and CAPTCHA solvers to ensure uninterrupted scraping.
Scalability and Performance Optimization :
- Optimize web scraping scripts for performance, scalability, and efficiency.
- Implement asynchronous and parallel processing techniques to improve speed and throughput.
Error Handling and Logging :
- Handle errors, exceptions, and edge cases gracefully in web scraping scripts.
- Implement logging and monitoring solutions to track scraping activities, detect anomalies, and troubleshoot issues.
Compliance and Legal Considerations :
- Ensure compliance with website terms of service, copyright laws, and data privacy regulations while scraping data.
- Respect robots txt rules and obtain necessary permissions for scraping restricted or sensitive content.
Documentation and Collaboration :
- Document technical specifications, data schemas, and scraping workflows.
- Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
Qualifications :
- Educational Qualifications: Bachelor's/Master's
- 4 to 6 years of experience in web scraping and data extraction using Python.
- Proficiency in web scraping libraries and frameworks such as BeautifulSoup, Scrapy, Selenium, or Requests.
- Strong understanding of HTML, CSS, XPath, JSON, and regular expressions for data parsing and extraction.
- Experience with database systems such as MySQL, PostgreSQL, MongoDB, or SQLite for storing and managing scraped data.
- Familiarity with proxy servers, CAPTCHA solving services, and IP rotation techniques for bypassing anti-scraping measures.
- Excellent problem-solving, analytical, and communication skills.
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