
Data Analyst
3 days ago
We are seeking an experienced Web Data Extraction Specialist to join our team. The ideal candidate will be skilled in automating data extraction processes from web platforms, with expertise in Python, Selenium, Pandas, SQL, and APIs.
The Web Data Extraction Specialist will design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs. This includes using tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing, as well as building and managing automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
Key Responsibilities:
- Design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
- Use tools like 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.
Required Skills & Qualifications:
- Experience: 2-3 years of hands-on experience in web scraping and data extraction.
Technical 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.
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.
- Familiarity with cloud services (AWS, Azure, GCP) is a plus.
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