
Web Scrapper Developer
1 day ago
Overview:
SlickFlo is hiring a talented Web Scraper Developer to design and implement a high-performance, production-ready web scraping solutions for multiple websites. The ideal candidate should be an expert in building scalable, maintainable scraping tools using
Python
, with strong knowledge of
Dockerized environments
and experience running workloads inside
Google Cloud Platform (GCP)
. This is a full-time position with remote environment.
Role Type:
Full Time
Location:
Remote
Timings:
US Time Zone (Mostly EST)
Responsibilities:
- Develop robust and efficient Python-based web scraping scripts capable of running reliably in Docker containers on Google Cloud.
- Implement proxy rotation to ensure anonymity and scraping continuity, with randomized proxy selection per run.
- Diagnose and update scrapers as needed to accommodate website changes or other modifications, ensuring uninterrupted data extraction.
- Integrate
Pydantic
for structured data validation and schema management. - Write clean, well-documented, and modular code with proper
type hints
and error handling. - Optimize performance to handle dynamic websites, including those with JavaScript-rendered content (e.g., via Playwright, Selenium, Pydoll or Puppeteer-based frameworks).
- Configure environment and dependency management using
uv
or similar dependency managers. - Ensure the script is easily deployable and configurable through Docker environment variables.
- Collaborate briefly during testing to validate the scraper's correctness and performance.
- Create robust data pipelines to export data to NoSQL databases like MongoDB.
Skills & Qualifications:
- Strong proficiency in
Python 3.9+
. - Proven experience (minimum 2 years) building
web scraping tools
using frameworks like
Playwright, Selenium, Pydoll
or equivalent, with support for
headed mode
inside Docker. - Deep understanding of
proxy management and rotation techniques
. - Hands-on experience with
Docker
(Dockerfiles, multi-stage builds, debugging containerized apps). - Solid grasp of
Pydantic
and
Python type hints
for data modeling and validation. - Familiarity with
asynchronous programming (asyncio)
and concurrent task management for scraping performance. - Proficient in detecting and utilizing localized APIs exposed through DevTools for efficient data extraction.
- Strong debugging and problem-solving skills when dealing with site structure changes, blocking, or rate limits.
- Basic understanding of MongoDB & NoSQL databases in general.
Nice to Have:
- Experience deploying workloads in Google Cloud Run, Cloud Build, or GKE.
- Experience using Beanie ODM or similar libraries for object-document mapping.
- Understanding of logging, monitoring, and error alerting within containerized environments.
- Prior experience with CI/CD pipelines for automating build and deployment of scrapers.
- Knowledge of headless browser detection evasion and fingerprinting avoidance strategies.
About You:
You are a detail-oriented developer who values clean, maintainable code and takes pride in building resilient automation tools. You understand how to balance efficiency, reliability, and stealth when scraping modern web applications.
If you are confident in your ability to deliver a solid, production-ready scraper ready to run in the cloud, we'd love to hear from you
How to Apply:
Interested candidates should visit our website for more details.
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