
Machine Learning Internship
2 weeks ago
**Job Title**:
Web Scraping Intern
**Job Summary**:
**Key Responsibilities**:
- **Data Collection and Scraping**:
- Identify target websites and scrape data using Python libraries (e.g., BeautifulSoup, Scrapy) or browser automation tools (e.g., Selenium, Puppeteer).
- Handle dynamic websites, including those built with JavaScript frameworks (React, Angular, etc.).
- **Data Cleaning and Structuring**:
- Extract data in a clean, organized format (e.g., CSV, Excel, JSON).
- Use libraries such as Pandas to preprocess and analyze raw data.
- **Managing Anti-Scraping Challenges**:
- Solve CAPTCHA, rotate IPs, and use proxy services to avoid detection and IP blocking.
- Implement user-agent switching and delays to mimic human behavior.
- **Documentation and Reporting**:
- Document scraping workflows and processes.
- Prepare and submit progress reports detailing completed tasks and findings.
- **Collaboration**:
- Work closely with the project manager and other team members to define data needs.
- Suggest and implement improvements to scraping techniques.
**Required Skills and Qualifications**:
- **Technical Proficiency**:
- Basic programming skills in Python (essential) or JavaScript.
- Familiarity with web scraping tools and libraries, such as:
- Python: BeautifulSoup, Scrapy, Requests, Selenium.
- JavaScript: Puppeteer, Playwright.
- Understanding of HTML, CSS, and XPath for navigating web structures.
- **Analytical Skills**:
- Ability to identify patterns in data and write targeted scraping scripts.
- Experience in working with structured and unstructured datasets.
- **Problem-Solving Skills**:
- Handle challenges such as CAPTCHA, IP blocks, and rate limits.
- Familiarity with proxy management tools like ScraperAPI or Bright Data (preferred).
- **Other Skills**:
- Strong attention to detail.
- Good organizational skills for handling multiple scraping tasks and datasets.
- Eagerness to learn and adapt to new technologies.
**Preferred Qualifications (Not Mandatory)**:
- Knowledge of database management tools like MySQL or MongoDB.
- Experience with APIs and extracting data through API endpoints.
- Exposure to data visualization libraries like Matplotlib or Seaborn.
**Duration and Compensation**:
- **Internship Duration**: 3 to 6 months (flexible based on performance and availability).
- **Stipend**: Competitive, based on experience and contribution.
**Learning Opportunities**:
- Gain hands-on experience in web scraping and data engineering.
- Exposure to advanced tools and techniques for data acquisition and cleaning.
**Location**:
Remote or Onsite (depending on company policy).
**Application Process**:
- Resume detailing technical skills and relevant coursework/projects.
- A brief description or portfolio of past scraping projects (if any).
**Job Types**: Part-time, Fresher, Internship
Contract length: 3 months
Pay: ₹4,000.00 - ₹8,000.00 per month
Expected hours: 10 - 20 per week
Schedule:
- Day shift
Supplemental Pay:
- Performance bonus
Application Question(s):
- have you scrapped data before?
**Experience**:
- total work: 1 year (preferred)
Work Location: Remote
Application Deadline: 24/01/2025
Expected Start Date: 25/01/2025
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