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Highly Skilled Web Scraping Specialist

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Tirupati, Andhra Pradesh, India beBeeDataMining Full time ₹ 60,00,000 - ₹ 1,20,00,000

As a key player in our organization, we seek an accomplished Data Mining Specialist to spearhead data extraction processes from web platforms. The ideal candidate will possess expertise in Python, Selenium, Pandas, SQL, and APIs.

Main Responsibilities:
  • Design and develop robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
  • Utilize tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
  • Create and manage automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
  • Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
  • Cultivate collaboration with stakeholders to provide required data for further analysis and reporting.
  • Ensure compliance with ethical data scraping standards, including legal considerations like website terms of use and robots.txt policies.
Required Skills & Qualifications:
  • Experience: 1-3 years of hands-on experience in web scraping and data extraction.
  • Technical Skills:
  • Strong proficiency in Python programming language.
  • Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
  • Experience with data manipulation libraries like Pandas.
  • Familiarity with API integration (REST, GraphQL, etc.).
  • Proficiency in SQL for data querying, database design, and managing large datasets.
  • Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
  • Experience with version control (Git) and collaborative development environments.
  • Other Skills:
  • Problem-solving skills with attention to detail.
  • Ability to write clean, maintainable code and automate workflows.
  • Good understanding of HTTP, HTML, CSS, and JavaScript.
Python Nice to Have:
  • Experience with cloud-based scraping tools or services (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with distributed scraping and data pipeline management.
  • Experience with large-scale data collection and storage systems.
  • Knowledge of ethical and legal issues related to web scraping.