Develop and maintain advanced web scraping solutions using Python to extract data from diverse online sources and mobile applications.
Utilize your expertise in web scraping tools, scripting languages, and APIs to create efficient and reliable data extraction pipelines.
Collaborate with cross-functional teams to understand data requirements and translate them into effective scraping strategies.
Identify and evaluate new data sources, assessing their feasibility for integration into the scraping framework.
Design and implement data flow processes to access and retrieve information from target sources while adhering to best practices for efficiency and data quality.
Work closely with quality assurance teams to ensure the accuracy and credibility of scraped data, implementing validation and verification techniques as needed.
Monitor and optimize scraping processes for performance, scalability, and reliability.
Document and communicate scraping methodologies, processes, and outcomes effectively within the team.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
Proven professional experience in building and maintaining web scrapers and mobile app scrapers using Python.
Expertise in utilizing web scraping libraries and tools such as Beautiful Soup, Scrapy, Selenium, etc.
Proficiency in scripting languages and working with APIs for data extraction and manipulation.
Strong understanding of HTML, CSS, and DOM structure to navigate and extract data from web pages effectively.
Familiarity with different data formats (JSON, XML, etc.) and data storage methods (databases, CSV, etc.).
Detail-oriented mindset with excellent observation skills to validate and verify data sources accurately.
Problem-solving abilities to tackle challenges related to dynamic websites, CAPTCHA handling, and data structure changes.
