Python / JavaScript Developer – Web Scraping ( 4 to 7 Years)

Python / JavaScript Developer – Web Scraping - 4 to 7 years

Experience : 4 to 7 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.