Web Scraping Specialist

Posted 3 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • eCommerce • Machine Learning • Software
The Role
Design, implement, and maintain scalable web scraping systems for e-commerce marketplaces and other online sources. Responsibilities include data extraction, cleansing, validation, monitoring, anti-scraping mitigation, performance optimization, compliance, documentation, and collaboration with data and business teams. The role requires strong programming, web technology, data storage, security, and large-scale scraping expertise, with leadership experience and the ability to adapt to changing web environments.
Summary Generated by Built In

Position Overview:

We are seeking a highly skilled Web Scraping Architect to join our team. The successful candidate will be responsible for designing, implementing, and maintaining web scraping processes to gather data from various online sources efficiently and accurately. As a Web Scraping Specialist, you will play a crucial role in collecting data for competitor analysis, and other business intelligence purposes.

Responsibilities:

  • Scalability/Performance: Lead and provide expertise in scraping at scale e-commerce marketplaces.
  • Data Source Identification: Identify relevant websites and online sources from which data needs to be scraped. Collaborate with the team to understand data requirements and objectives.
  • Web Scraping Design: Develop and implement effective web scraping strategies to extract data from targeted websites. This includes selecting appropriate tools, libraries, or frameworks for the task.
  • Data Extraction: Create and maintain web scraping scripts or programs to extract the required data. Ensure the code is optimized, reliable, and can handle changes in the website's structure.
  • Data Cleansing and Validation: Cleanse and validate the collected data to eliminate errors, inconsistencies, and duplicates. Ensure data integrity and accuracy throughout the process.
  • Monitoring and Maintenance: Continuously monitor and maintain the web scraping processes. Address any issues that arise due to website changes, data format modifications, or anti-scraping mechanisms.
  • Scalability and Performance: Optimize web scraping procedures for efficiency and scalability, especially when dealing with a large volume of data or multiple data sources.
  • Compliance and Legal Considerations: Stay up-to-date with legal and ethical considerations related to web scraping, including website terms of service, copyright, and privacy regulations.
  • Documentation: Maintain detailed documentation of web scraping processes, data sources, and methodologies. Create clear and concise instructions for others to follow.
  • Collaboration: Collaborate with other teams such as data analysts, developers, and business stakeholders to understand data requirements and deliver insights effectively.
  • Security: Implement security measures to ensure the confidentiality and protection of sensitive data throughout the scraping process.

Requirements:

  • Proven experience of 4+ years as a Web Scraping Specialist or similar role, with a track record of successful web scraping projects.
  • Expertise in handling dynamic content, user-agent rotation, bypass CAPTCHAs, rate limits, and utilization of proxy services.
  • Knowledge on browser fingerprinting
  • Has leadership experience.
  • Proficiency in programming languages commonly used for web scraping, such as Python, BeautifulSoup, Scrapy, or Selenium.
  • Strong knowledge of HTML, CSS, XPath, and other web technologies relevant to web scraping and Coding.
  • Knowledge and experience in best of class data storage and retrieval of large volume of scraped data.
  • Understanding of web scraping best practices, including handling dynamic content, user-agent rotation, and IP address management.
  • Attention to detail and the ability to handle and process large volumes of data accurately.
  • Familiarity with data cleansing techniques and data validation processes.
  • Good communication skills and the ability to collaborate effectively with cross-functional teams.
  • Knowledge of web scraping ethics, legal considerations, and compliance with website terms of service.
  • Strong problem-solving skills and the ability to adapt to changing web environments 

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields.
  • Experience with cloud-based solutions and distributed web scraping systems.
  • Familiarity with APIs and data extraction from non-public sources.
  • Knowledge of machine learning techniques for data extraction and natural language processing is desired but not mandatory
  • Prior experience in handling large-scale data projects and working with big data frameworks.
  • Understanding of various data formats such as JSON, XML, CSV, etc.
  • Experience with version control systems like Git.
    This is a Work from Home position

Skills Required

  • 4+ years of experience as a Web Scraping Specialist or in a similar role
  • Experience handling dynamic content, user-agent rotation, CAPTCHA bypass, rate limits, and proxy services
  • Knowledge of browser fingerprinting
  • Leadership experience
  • Proficiency with Python, BeautifulSoup, Scrapy, or Selenium
  • Strong knowledge of HTML, CSS, XPath, and related web technologies
  • Knowledge of data storage and retrieval for large volumes of scraped data
  • Understanding of web scraping best practices, including user-agent rotation and IP address management
  • Ability to accurately process large volumes of data
  • Familiarity with data cleansing and data validation
  • Good communication and cross-functional collaboration skills
  • Knowledge of web scraping ethics, legal considerations, and website terms of service
  • Strong problem-solving skills and adaptability to changing web environments
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field
  • Experience with cloud-based solutions and distributed web scraping systems
  • Familiarity with APIs and extraction from non-public sources
  • Knowledge of machine learning techniques for data extraction and natural language processing
  • Experience with large-scale data projects and big data frameworks
  • Understanding of JSON, XML, CSV, and other data formats
  • Experience with version control systems such as Git
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The Company
HQ: San Jose, CA
81 Employees
Year Founded: 2019

What We Do

Hypersonix is the Enterprise AI Platform purpose-built for Ecommerce. It acts as an enterprise nervous system that senses and reacts to market conditions and customer demand for optimal results and profitable revenue. It looks at all available data to provide real-time, actionable intelligence. Hypersonix users take advantage of instantaneous changes in customer demand, supply chain fluctuations, inventory surpluses and shortfalls, and forecast and adjust pricing, optimize inventory, monitor supply chains, and drive profitable revenue growth.

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