Web Scraping Specialist
Free to start · No card · 5 credits the moment you sign up
Job description
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
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Hypersonix. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.