Python Developers Web Scraping, Crawling
1 week ago
Were Hiring: Python Developers Web Scraping, Crawling & Automation Experts
(40 Openings | Yrs Experience | Multiple Levels & Roles)
Location: Mumbai / Pune / Chandigarh / Bengaluru / Gurugram / Noida / New Delhi (WFO, Hybrid, or Remote Based on Role
Industry: Fortune 500 Client Projects (Staffing via Hatchtra Innotech Pvt. Ltd.)
Employment Type: Full-Time | Contract (C2H)
Notice Period: Immediate Joiners / Max 30 Days
About Us:
Hatchtra Innotech Pvt. Ltd. is a leading staffing partner for Fortune 500 clients and high-growth enterprises. We specialize in placing top-tier tech professionals on high-impact, scalable digital projects.
From digital intelligence, product monitoring, site map-based crawling, dynamic content scraping, to competitor tracking and sentiment analytics our Python teams power real-world data pipelines and intelligent automation systems that scale.
About the Role
Were hiring Python Developers with strong skills in Web Scraping, Web Crawling, Automation, and Data Extraction. You'll build scalable crawlers, bypass anti-scraping protections, and use browser automation tools to extract data from JavaScript-heavy or dynamic websites.
Open Positions & Designations
Level 1 Junior Python Developer Yrs)
Designations:
- Python Scraping Developer
- Web Crawler Engineer
- Data Extraction Specialist
Ideal For:
Developers with solid Python knowledge and hands-on experience using tools like requests, BeautifulSoup, Selenium, Scrapy, and lxml for static and dynamic website scraping.
Level 2 Mid-Level Python Automation Engineer Yrs)
Designations:
- Web Data Engineer
- Automation & Scraping Specialist
- Python Developer Web Crawling & Data Collection
Ideal For:
Engineers who can build full-stack data scraping pipelines, handle JavaScript rendering, implement proxy rotation, solve CAPTCHA challenges, and design systems that resist anti-bot detection and rate limiting.
Level 3 Senior Python Developer / Scraping Architect Yrs)
Designations:
- Lead Python Developer Scraping
- Data Automation Architect
- Principal Web Intelligence Engineer
Ideal For:
Senior engineers/architects with expertise in scalable crawling, headless browser frameworks, distributed scraping architectures, and structured/unstructured data normalization for large-scale ingestion and analytics.
Key Responsibilities (Role-Based)
Level 1 Junior Python Developer
- Write and maintain web scrapers using requests, BeautifulSoup, lxml, or Scrapy
- Extract structured and unstructured data into JSON/CSV formats
- Use XPath, CSS selectors to accurately target HTML elements
- Work with basic authentication, pagination, and static pages
- Perform data cleaning, validation, and formatting
Level 2 Mid-Level Scraping Engineer
- Build robust scrapers using Scrapy, Selenium, or Playwright for JavaScript-rendered websites
- Use headless browsers (ChromeDriver, Firefox, Splash) to crawl complex sites
- Implement proxy rotation, user-agent spoofing, retry logic, and error handling
- Solve CAPTCHA using 3rd-party services or AI-based tools
- Automate multi-source web data collection and integrate with databases
- Optimize scraping to handle rate-limiting, geo-blocking, and session handling
Level 3 Senior / Architect
- Architect and scale distributed crawling systems for scraping 1000s of URLs per hour
- Build infrastructure for rotating IPs, parallel crawling, failover handling
- Integrate with orchestration tools (Airflow, Celery, Kafka) for scheduling & retries
- Lead code reviews, implement security practices, and mentor junior developers
- Work with data science teams for entity extraction, semantic tagging, and normalization
Skills & Tools
Core Python & Libraries
- requests, BeautifulSoup, Scrapy, Selenium, Playwright, Pyppeteer, lxml
- XPath, Regex, CSS Selectors, HTML DOM Parsing
- Headless Browsers: ChromeDriver, Splash, Firefox, Puppeteer
Crawling Infrastructure & Automation
- Proxy Management (BrightData, SmartProxy, ProxyMesh)
- CAPTCHA Solving APIs (2Captcha, AntiCaptcha, CapSolver)
- Scheduling Tools: Airflow, Cron, Celery
- Queues & Messaging: Kafka, RabbitMQ
- Browser automation & JavaScript-rendered content handling
Databases & Storage
- MongoDB, PostgreSQL, MySQL, Redis
- Data Formats: JSON, CSV, XML, YAML, Parquet
Qualifications
- Bachelor's or Master's in Computer Science, Engineering, or related field
- 3 – 12 years of Python development experience with a focus on web crawling and scraping
- Deep understanding of dynamic content loading, session-based scraping, and browser automation
- Hands-on experience with anti-bot bypassing, rate-limiting management, and CAPTCHA solving
- Familiarity with REST APIs, JSON, and data modeling
- Excellent debugging, optimization, and documentation skills
Bonus:
- CI/CD for scraping pipelines (GitHub Actions, Jenkins)
- Contributions to scraping communities or open-source projects
- Experience with NLP or AI-powered content classification
Example Role Combinations
- Junior Dev (3 Yrs): Python + BeautifulSoup + Pagination + Static Sites
- Scraping Engineer (6 Yrs): Scrapy + Selenium + CAPTCHA Bypass + Proxy Rotation
- Architect (9 Yrs): Playwright + Headless Crawling + Airflow + High-Volume Crawling
Why Join Us?
Work on high-impact, real-world scraping solutions for global clients
Use advanced tools like Playwright, Splash, and AI-based crawling
Flexible remote/hybrid work with enterprise-scale projects
Grow your career in automation, data engineering, and web intelligence
Be part of an expert-driven, innovation-first Python engineering team
How to Apply
For immediate consideration, please email your resume and mention the desired role and experience level in the subject line (e.g., "Python Web Crawler – 4 Yrs" or "Senior Automation Architect – 9 Yrs")
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