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Freelance Python Web Scraping Jobs in Seattle, WA

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

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 ...

JConnect Infotech

Python Automation Developer

Everett, WA · On-site

$55.50 - $76.50/hr

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 ...

JConnect Infotech

Python Automation Developer

Renton, WA · On-site

$56.75 - $78.25/hr

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 ...

All JobsFreelance Python Web Scraping JobsFreelance Python Web Scraping Jobs in Seattle, WA

Freelance Python Web Scraping information

See Seattle, WA salary details

$50

$65

$73

How much do freelance python web scraping jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for freelance python web scraping in Seattle, WA is $65.87, according to ZipRecruiter salary data. Most workers in this role earn between $60.19 and $71.11 per hour, depending on experience, location, and employer.

What is the difference between Freelance Python Web Scraping vs Freelance Data Analyst?

AspectFreelance Python Web ScrapingFreelance Data Analyst
Skills & CredentialsPython, web scraping libraries, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, project-based, client-specificRemote or on-site, consulting or project-based
Industry UsageWeb data extraction for research, marketing, or business insightsData interpretation, reporting, and strategic recommendations

Freelance Python Web Scraping focuses on extracting data from websites using Python, while Freelance Data Analysts interpret and analyze data to provide insights. Both roles often work remotely and require technical skills, but their core functions differ: one is data collection, the other is data analysis.

What are some common challenges faced by freelance Python web scraping professionals, and how can they be addressed?

Freelance Python web scraping professionals often encounter challenges such as dealing with websites that have anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To address these issues, it's important to stay updated with the latest scraping libraries and techniques, utilize rotating proxies and user-agent strings, and write modular code that can be easily adapted when websites update their layouts. Additionally, maintaining clear communication with clients about legal considerations and project scope helps set realistic expectations and ensures a smooth workflow.

What is freelance Python web scraping?

Freelance Python web scraping involves using the Python programming language to extract data from websites on a project or contract basis, rather than as a full-time employee. Freelancers in this field use libraries like BeautifulSoup, Scrapy, or Selenium to gather, parse, and organize data from various web sources according to client needs. Projects can range from collecting product prices, aggregating news articles, monitoring social media trends, or compiling research datasets. Freelance web scrapers must ensure they comply with relevant legal and ethical guidelines, as well as website terms of service. The work requires technical proficiency, problem-solving skills, and clear communication with clients.

What are the key skills and qualifications needed to thrive as a Freelance Python Web Scraping specialist, and why are they important?

To thrive as a Freelance Python Web Scraping specialist, you need strong programming skills in Python, a deep understanding of web protocols, and knowledge of data extraction techniques. Familiarity with libraries like BeautifulSoup, Scrapy, Selenium, and experience using APIs, along with basic knowledge of version control systems like Git, is typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing client requirements and navigating technical challenges. These skills ensure efficient, ethical, and accurate data extraction, which is vital for delivering reliable results to clients.
What are the most commonly searched types of Python Web Scraping jobs in Seattle, WA? The most popular types of Python Web Scraping jobs in Seattle, WA are:
What are popular job titles related to Freelance Python Web Scraping jobs in Seattle, WA? For Freelance Python Web Scraping jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Freelance Python Web Scraping jobs in Seattle, WA look for? The top searched job categories for Freelance Python Web Scraping jobs in Seattle, WA are:
Freelance Python Web Scraping jobs near you
Infographic showing various Freelance Python Web Scraping job openings in Seattle, WA as of June 2026, with employment types broken down into 63% Full Time, 29% Part Time, and 8% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $137,015 per year, or $65.9 per hour.

Python Automation Developer (Onsite)

VeridianTech

Seattle, WA • On-site

$57.25 - $78.75/hr

Other

Posted 26 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

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