Web Scrapping Specialist

Python Web Scraping Developer

Key Responsibilities:

Web Crawling & Scraping

• Design, build, and maintain web crawlers using Python-based frameworks like

  Scrapy

  ,

  BeautifulSoup

  , or

  Selenium

  .
• Develop robust and scalable scripts to extract data from structured and unstructured web sources (HTML, JavaScript-rendered pages, APIs).
• Handle dynamic websites using headless browsers or asynchronous scraping techniques.

Data Processing & Storage

• Clean, normalize, and structure scraped data for downstream use (e.g., in databases, CSV/JSON, or APIs).
• Store data in databases such as

  MongoDB

  ,

  PostgreSQL

  ,

  MySQL

  , or

  cloud storage

  (e.g., AWS S3, GCP).

Anti-bot Handling

• Implement IP rotation, user-agent spoofing, and CAPTCHA solving mechanisms using tools like

  Proxies

  ,

  Tor

  ,

  2Captcha

  , or

  Puppeteer

  .
• Monitor scraping health and proactively manage bans or blocks.

Automation & Scheduling

• Automate scraping tasks with

  cron jobs

  ,

  Celery

  , or

  workflow orchestrators

  (e.g., Apache Airflow).
• Build dashboards or log reports to track scraping success and failure rates.

Collaboration & Documentation

• Work closely with data analysts, engineers, and business stakeholders to understand scraping requirements.
• Document code, pipelines, and site-specific scraping logic.

Key Qualifications:

• Bachelors degree in Computer Science, Engineering, or related field.

• 25 years

  of experience in web scraping or automation using Python.
• Proficiency in

  Scrapy

  ,

  BeautifulSoup

  ,

  Selenium

  ,

  Playwright

  , or

  Requests/HTTPX

  .
• Strong understanding of HTML, DOM, CSS selectors, JavaScript, and REST APIs.
• Experience handling scraping for websites with

  anti-bot

  or

  JavaScript-rendered

  content.
• Familiarity with

  Linux environments

  ,

  Git

  , and

  CI/CD pipelines

  .