Web Scraping Specialist

6 days ago


Jaipur, Rajasthan, India beBeeDataMining Full time ₹ 90,00,000 - ₹ 1,20,00,000

Data Mining Analyst Job Summary:

We are seeking a highly skilled Data Mining Analyst to join our team. In this role, you will be responsible for designing and implementing efficient and scalable data scraping systems.

About the Role:

This is a challenging opportunity for an experienced Data Mining Analyst to work with large datasets and develop innovative solutions to extract valuable insights.

Main Responsibilities:

  • Design and develop robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
  • Use Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
  • Build 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.
  • Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
  • Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
  • Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.
  • Debug and troubleshoot issues in scraping pipelines and scripts.
  • Ensure compliance with ethical data scraping standards, including legal considerations like website terms of use and robots.txt policies.

Requirements:

  • Experience: 2-3 years of hands-on experience in web scraping and data extraction.

Skills:

  • Strong proficiency in Python.
  • 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.

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.


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