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Python Scrapy Jobs (NOW HIRING)

Superlogix, Inc

Python Developer

Fort Worth, TX

$48 - $66.25/hr

Experience with a range of common Python packages, including Requests, NumPy, Scrapy, wxPython, BeautifulSoup, Twisted, etc * Experience with full development lifecycle and tools, including Git, Jira ...

Superlogix, Inc

Python Developer

Fort Worth, TX · On-site

$48 - $66.25/hr

Experience with a range of common Python packages, including Requests, NumPy, Scrapy, wxPython, BeautifulSoup, Twisted, etc * Experience with full development lifecycle and tools, including Git, Jira ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade ... Scrapy, and Requests. - Schedule and optimize data workflows with Apache Airflow; integrate AI/ML ...

Tata Consultancy Service Limited

Developer

Plano, TX · On-site

$110K - $130K/yr

Scrapy Must Have: • 3-4 Years of Experience in developing Automations using Python language • Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops;

Babel Street

Software Engineer III

Reston, VA · On-site

Mastery of Python 3.x with deep experience in extraction frameworks (Scrapy, Playwright, Selenium, or Puppeteer). * Technical Resilience: Proven ability to bypass high-level bot detection (e.g ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

$125/hr

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

Mastery of Python 3.x with deep experience in extraction frameworks (Scrapy, Playwright, Selenium, or Puppeteer). * Technical Resilience: Proven ability to bypass high-level bot detection (e.g ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Sayari

Data Engineer (Remote, US)

$90K - $120K/yr

Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our ... Preferred * Experience with Django, Scala, or Scrapy. * Hands-on experience with workflow ...

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How much do python scrapy jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python scrapy in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is Scrapy used for in Python?

Scrapy is an open-source Python framework used for web scraping and data extraction. It allows developers to build spiders that crawl websites, parse HTML content, and store structured data efficiently, often used in data mining, research, and automation tasks.

What are some typical challenges faced by professionals working in Python Scrapy roles?

Professionals using Python Scrapy often encounter challenges such as handling dynamic websites that use JavaScript, navigating anti-scraping protections, and ensuring data accuracy from diverse sources. It's common to troubleshoot failed crawls, manage large volumes of data, and adapt quickly to changing website structures. Successful Scrapy specialists are resourceful in finding solutions, collaborating with data engineers or product teams, and keeping up-to-date with best practices for ethical data gathering. Overcoming these challenges is an excellent way to build expertise in automation, data engineering, and scalable data solutions.

What is a Python Scrapy job?

A Python Scrapy job involves using the Scrapy framework to build web crawlers and extract data from websites. Responsibilities typically include writing spiders, handling requests and responses, managing data pipelines, and dealing with challenges like CAPTCHA and AJAX-loaded content. These jobs are common in web scraping, data mining, and competitive intelligence fields.

What are the key skills and qualifications needed to thrive in the Python Scrapy position, and why are they important?

To thrive as a Python Scrapy professional, you need strong expertise in Python programming, web scraping concepts, and data processing, often supported by experience with the Scrapy framework. Familiarity with related tools like XPath, CSS selectors, databases (SQL/NoSQL), and version control (e.g., Git) is important, and certifications in Python or data science can be advantageous. Attention to detail, problem-solving, and effective communication are valuable soft skills that set candidates apart. These technical and interpersonal abilities are crucial for efficiently extracting, processing, and delivering high-quality data in collaborative environments.

How do I make money with Python web scraping?

Python Scrapy developers can monetize their skills by offering web scraping services, building data extraction tools, or working as freelancers for clients needing structured data. Gaining expertise in data cleaning, APIs, and compliance with legal guidelines enhances earning potential. Many professionals find opportunities through freelance platforms or by developing custom scraping solutions for businesses.

Are Python coders still in demand?

Python developers, including those skilled in web scraping with tools like Scrapy, are in high demand due to Python's versatility in data analysis, automation, and backend development. The demand is driven by industries such as technology, finance, and data science, with many roles requiring knowledge of Python frameworks and libraries.

What is the highest paying job in Python?

The highest paying jobs in Python typically include roles such as Machine Learning Engineer, Data Scientist, and Software Architect, which require advanced programming skills, experience, and often certifications. These positions often offer salaries exceeding $120,000 annually, especially in tech hubs or companies with complex data and AI needs.
More about Python Scrapy jobs
What are the most commonly searched types of Python Scrapy jobs? The most popular types of Python Scrapy jobs are:
What states have the most Python Scrapy jobs? States with the most job openings for Python Scrapy jobs include:
What job categories do people searching Python Scrapy jobs look for? The top searched job categories for Python Scrapy jobs are:
Python Scrapy jobs near you
Infographic showing various Python Scrapy job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Automation Developer (Onsite)

VeridianTech

Seattle, WA

$57.25 - $78.75/hr

Other

Posted 23 days ago

Job description

Hi,
Job Title: - Python Automation Developer
Location: - Renton, WA / Everett, WA
Full-time/permanent
Job Description
Must Have Technical/Functional Skills
Technical Skills:
1. Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
2. Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
3. Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
4. Framework: Django ; Flask; FastAPI
5. Web Scraping and HTTP: Beautiful Soup; Scrapy
Must Have:
3-4 Years of Experience in developing Automations using Python language
Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
Framework: Django ; Flask; FastAPI
Web Scraping and HTTP: Beautiful Soup; Scrapy
Good to have:
- Background in operations research/optimization (e.g., scheduling, VM allocation).
- Experience with AWS cloud platforms.
- Security best practices: vulnerability scanning.
- knowledge on automation tools like RPA Blue Prism or RPA Power Automate.
Thanks

Apply