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Python/JavaScript Developer – Web Scraping
4 weeks ago
Python/JavaScript Developer – Web Scraping & AI/ML (3 to 6 years)
Experience: 3+ Years
Location: Remote
Mode of Engagement: Full-time
No of Positions: 3
Educational Qualifications: Bachelor's degree in Computer Science, Information Technology
Industry: IT / Software Development
Notice Period: Immediate Joiners Preferred
What We Are Looking For:
- Strong expertise in web scraping with hands-on experience in large-scale data collection systems.
- Proficient in Python, including Scrapy, Requests, Playwright, and Selenium.
- Skilled in JavaScript for web scraping and automation tasks.
- Capable of designing, building, and maintaining robust and scalable scrapers for a variety of websites.
- Experience with AI-driven techniques to improve scraping efficiency, data extraction accuracy, and automation workflows.
- Passionate about leveraging advanced technologies to solve complex data challenges
Key Responsibilities
- Design, develop, and maintain large-scale web scrapers to collect structured and unstructured data from multiple sources.
- Optimize scraping pipelines for scalability, reliability, and performance.
- Work with Scrapy and related Python frameworks/libraries for crawler development.
- Write JavaScript-based scrapers or automation scripts for complex websites with dynamic content.
- Monitor, debug, and maintain scrapers, ensuring high availability and fault tolerance.
- Implement AI/ML-based solutions in scraping workflows, such as:
- Using LLMs for content parsing/cleaning.
- Automating CAPTCHA solving and anti-bot evasion.
- Improving data matching, deduplication, and entity recognition.
- Collaborate with data engineers and product teams to ensure scraped data quality and usability.
- Maintain proper documentation, testing, and CI/CD practices for scraper code.
Qualifications
- Bachelor's degree in computer science, IT, or related field.
- Strong programming skills in Python (Scrapy, Requests, Playwright/Selenium).
- Proficiency in JavaScript for handling browser automation and dynamic sites.
- Experience with large-scale scraping systems (distributed crawling, proxy rotation, request throttling).
- Solid understanding of web technologies (HTTP, HTML, CSS, JSON, AJAX).
- Experience working with databases (SQL/NoSQL) for storing and processing scraped data.
- Hands-on experience in AI/ML tools (e.g., OpenAI, Hugging Face, spaCy, Transformers, or LangChain) applied to data extraction/processing.
- Familiarity with containerization and orchestration (Docker, Kubernetes) for scraper deployments.
- Strong problem-solving skills for dealing with anti-bot measures and rate limits.
- Excellent communication and collaboration skills.
