Python Scrapper

Job description

Responsibilities:

• Develop and maintain Python scripts for web scraping and data extraction from diverse sources such as websites, APIs, and other online platforms.
• Utilize Python libraries and frameworks (e.g., Beautiful Soup, Scrapy, Selenium) to automate data collection tasks efficiently.
• Understand and analyze target websites or data sources to identify the best scraping approach and develop efficient scraping strategies.
• Build robust and scalable data scraping systems that can handle large volumes of data while ensuring data quality and integrity.
• Collaborate with data engineering and analytics teams to define data requirements, data structures, and storage mechanisms for scraped data.
• Should have ability to understand the LLM ML models.
• Perform data cleaning, preprocessing, and transformation tasks to prepare scraped data for downstream analysis and usage.
• Monitor and troubleshoot scraping processes to identify and resolve issues such as website changes, data format variations, and anti-scraping measures.
• Stay up-to-date with the latest web scraping trends, tools, and techniques to continually improve the efficiency and effectiveness of data scraping processes.
• Ensure compliance with legal and ethical standards when collecting and utilizing data from online sources.

Requirements:

• Strong experience in Python programming with expertise in web scraping and data extraction.
• In-depth knowledge of Python libraries and frameworks commonly used for web scraping, such as Beautiful Soup, Scrapy, Selenium, and Requests.
• Familiarity with HTML, CSS, XPath, and regular expressions for effective parsing and extraction of data from websites.
• Understanding of HTTP protocols and web technologies to handle various website structures and handle different data formats (e.g., JSON, XML, CSV).
• Experience with database systems (e.g., SQL, NoSQL) and data storage mechanisms for efficiently storing and managing scraped data.
• Ability to analyze and interpret web page structures, inspect network requests, and troubleshoot scraping issues.
• Strong problem-solving skills with attention to detail and ability to handle complex scraping scenarios.
• Experience in Captcha breaking and worked on Proxy for rotation of IPs
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Proven ability to work independently, manage multiple scraping projects simultaneously, and meet deadlines.

Preferred Qualifications:

• Previous experience in scraping data from diverse domains and sources, including e-commerce websites, social media platforms, and news sites.
• Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Tableau) to perform exploratory data analysis and present insights.
• Familiarity with APIs and data integration techniques to combine scraped data with other data sources.
• Understanding of web scraping legalities, ethical considerations, and best practices.
• Join our team and contribute to our data-driven decision-making processes by leveraging your expertise in Python data scraping and extraction. Apply now and help us gather valuable insights from the vast web landscape.