Web Scraping Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and provide expertise in large-scale data scraping across e-commerce platforms.

• Identify pertinent websites and online sources for effective data collection.

• Collaborate with various teams to comprehend data needs and project objectives.

• Design and execute web scraping strategies utilizing suitable tools, libraries, and frameworks.

• Create and maintain efficient, reliable scraping scripts and programs.

• Clean and validate collected data to eliminate errors, inconsistencies, and duplicates.

• Monitor and uphold scraping processes, adapting to website modifications, data format changes, and anti-scraping measures.

• Enhance scraping procedures for improved efficiency and scalability across extensive data volumes and multiple sources.

• Stay updated on legal and ethical considerations, terms of service, copyright, and privacy regulations.

• Document scraping processes, data sources, and methodologies effectively.

• Work alongside data analysts, developers, and business stakeholders to provide valuable insights.

• Implement security protocols to safeguard sensitive information.

⛳️ Requirements

• Minimum of 4+ years of proven experience as a Web Scraping Specialist or in a similar capacity.

• Expertise in managing dynamic content, user-agent rotation, circumventing CAPTCHAs, managing rate limits, and utilizing proxy services.

• Familiarity with browser fingerprinting techniques.

• Leadership experience is essential.

• Proficient in Python, BeautifulSoup, Scrapy, or Selenium.

• Strong foundation in HTML, CSS, XPath, and other web technologies relevant to web scraping and coding.

• Knowledge and experience in top-tier data storage and retrieval practices for large volumes of scraped data.

• Understanding of web scraping best practices, including dynamic content handling, user-agent rotation, and IP address management.

• Ability to accurately process and manage large datasets.

• Familiarity with data cleansing and validation methodologies.

• Excellent communication and cross-functional collaboration skills.

• Awareness of web scraping ethics, legal considerations, and website terms of service.

• Strong problem-solving capabilities and adaptability to evolving web environments.

• Experience with cloud-based solutions and distributed web scraping systems is preferred.

• Familiarity with APIs and data extraction from non-public sources is a plus.

• Knowledge of machine learning techniques for data extraction and natural language processing is desirable but not required.

• Previous involvement in large-scale data projects and big data frameworks is preferred.

• Understanding of data formats such as JSON, XML, and CSV is advantageous.

• Experience with Git is preferred.

🏝️ Benefits

• This is a Work from Home position.