About the Role
We are seeking a skilled and proactive Web Scraping Developer with specialized expertise in bot detection avoidance and mitigation techniques.
• As a part of our dynamic team, you will be responsible for designing, implementing, and maintaining web scraping solutions that circumvent bot detection mechanisms while ensuring ethical and respectful web scraping practices.
• Your primary focus will be to develop robust and efficient methods to avoid bot detection and mitigate the risks associated with web scraping activities.
Responsibilities:
• Develop and maintain sophisticated web scraping systems that can efficiently collect data from target websites while avoiding detection by bot detection mechanisms.
• Analyse and understand the various bot detection techniques employed by websites, search engines, and online platforms to create effective mitigation strategies.
• Collaborate with cross-functional teams to identify data sources, define scraping requirements, and ensure compliance with data usage policies and legal considerations.
• Monitor and analyze the performance of existing web scraping systems, making necessary adjustments to improve reliability and efficiency.
• Implement user-agent rotation, IP rotation, identity management and other techniques to avoid being blacklisted or flagged as a bot. Research and stay up-to-date with the latest developments in bot detection and web scraping technologies to continuously enhance the scraping infrastructure.
• Work on handling dynamic websites and implement mechanisms to interact with JavaScript-heavy pages.
• Build logging, monitoring, and alerting mechanisms to detect and respond to potential issues with web scraping activities. Develop and maintain documentation for web scraping processes, methodologies, and best practices.
• Ensure compliance with ethical guidelines and legal regulations related to web scraping and data usage.
Requirements
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or extensive experience in lieu of the qualification.
• Proven experience (at least 2 years) in web scraping projects with a focus on bot detection avoidance and mitigation.
• In-depth knowledge of HTTP, HTML, CSS, JavaScript, and other web technologies. Proficiency in programming languages commonly used for web scraping, such as Python or Node.js. Familiarity with various bot detection techniques and the ability to devise strategies to bypass them effectively.
• Strong analytical and problem-solving skills to handle complex scraping scenarios and adapt to website changes. Understanding of data storage, databases, and data formats (e.g., JSON, XML, CSV).
• Excellent communication skills and the ability to work collaboratively in a team-oriented environment. Knowledge of web scraping ethics, copyright laws, and data privacy regulations. Preferred Qualifications: • Experience with using rotating proxies or other IP anonymization techniques. Familiarity with browser automation tools and headless browsers.
• Knowledge and experience in advanced identity management techniques, involving creation of artificial identities based on browser signature attributes.
• Knowledge of machine learning techniques for bot detection and evasion is a plus. Prior experience in handling large-scale web scraping projects. y:
• We are seeking a skilled and proactive Web Scraping Developer with specialized expertise in bot detection avoidance and mitigation techniques.
• As a part of our dynamic team, you will be responsible for designing, implementing, and maintaining web scraping solutions that circumvent bot detection mechanisms while ensuring ethical and respectful web scraping practices.
• Your primary focus will be to develop robust and efficient methods to avoid bot detection and mitigate the risks associated with web scraping activities.
About the Company
Aggregate Intelligence is a platform-agnostic fully integrated BI provider in vertical markets such as travel, retail, real estate and more. Our focus is on the seamless delivery of data intelligence to the user – whether that is in raw data feed form via APIs, in dynamic spreadsheet/platform integrations or in custom-build vertical BI solutions targeting a specific problem for a specific user base.