Role & responsibilities
Develop and maintain web scraping scripts using Python.
Extract relevant data from websites based on business and project requirements.
Work with libraries such as BeautifulSoup, Requests, Selenium, and Scrapy.
Analyze website structures, HTML, CSS selectors, and XPath to identify relevant data elements.
Handle pagination, cookies, sessions, headers, and basic API requests.
Identify and resolve scraping errors, data inconsistencies, and website changes.
Perform data validation and quality checks to ensure accuracy and completeness.
Maintain existing scripts and troubleshoot issues in scheduled scraping jobs.
Coordinate with team leads and QA teams to meet project requirements and delivery deadlines.
Document scripts, issues, and process updates.





Preferred candidate profile
Basic to intermediate knowledge of Python programming.
Understanding of HTML, CSS, XPath, and web page structures.
Hands-on experience with BeautifulSoup and Requests.
Basic knowledge of Selenium or Scrapy.
Understanding of JSON, APIs, HTTP requests, and response codes.
Familiarity with SQL and databases is an advantage.
Basic knowledge of Git or version control is preferred.
Valuable analytical, debugging, and problem-solving skills.
Willingness to learn recent tools, technologies, and website-specific scraping techniques.

📌 Web Scrapping Developer Noida (India)
🏢 Intrics Solutions
📍 India