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Web Scraping Jobs in Seattle, WA (NOW HIRING)

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 ...

Salesforce, Inc.

Data Engineer - Senior/Lead

Seattle, WA · On-site

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Comfort with tasks such as writing scripts, web scraping, and pulling data from APIs. * Experience automating data pipelines using scheduling and orchestration tools like Airflow. * Ability to adapt ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

We develop processes to extract and create rich content from hundreds of millions of location entities globally utilizing a variety of signals and algorithms from web scraping to trusted partners.

Grid

Senior Backend Engineer | On-Site | Seattle

Seattle, WA · Remote

$120K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We've built a wide range of homegrown systems that power everything from financial ledgers and payment processing to AI-driven workflows, web scraping, and real-time analytics. From day one, we've ...

Terrakotta

Senior Full-Stack Engineer

Seattle, WA · On-site

... scraping. • Strong eye for UX or interest in generative AI. • Previous early-stage startup or founder experience. Company : Terrakotta is a web phone that allows users to communicate with leads ...

All JobsWeb Scraping JobsWeb Scraping Jobs in Seattle, WA

Web Scraping information

See Seattle, WA salary details

$13

$67

$98

How much do web scraping jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for web scraping in Seattle, WA is $67.15, according to ZipRecruiter salary data. Most workers in this role earn between $58.27 and $76.06 per hour, depending on experience, location, and employer.

What is web scraping?

Web scraping is the automated process of extracting data from websites. It involves using software tools or scripts to collect information from web pages, which can then be saved and analyzed for various purposes. Web scraping is commonly used for market research, price monitoring, data aggregation, and academic research. However, it's important to respect website terms of service and legal considerations when scraping data.

What are web scraping jobs?

Web scraping jobs involve using specialized software and web crawling tools to extract data from websites. This data is extracted for competitor analysis, market trends, pricing research, and other information that can help businesses improve their performance. As a data engineer, your responsibilities are to understand and use these tools or use manual techniques to collect information. Your duties also include creating or troubleshooting web scraping tools, analyzing the data you obtain, and passing the information on to the appropriate leaders of a company. You can find these positions with technology companies that offer web scraping services to clients.

What are the key skills and qualifications needed to thrive as a web scraping specialist, and why are they important?

To thrive as a Web Scraping Specialist, you need strong programming skills in languages like Python, knowledge of HTML/CSS, and an understanding of data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and sometimes APIs or browser automation is typically required. Attention to detail, problem-solving, and ethical judgment are important soft skills that help navigate complex data sources and legal considerations. These skills ensure efficient, accurate, and compliant collection of large-scale data critical for analytics and business intelligence.

What are some common challenges faced by web scraping professionals, and how are they typically addressed?

Web scraping professionals often encounter challenges such as dealing with websites that use dynamic content loading, anti-scraping measures like CAPTCHAs, or frequent changes to site structure. To overcome these, they may use headless browsers, rotating proxies, and advanced parsing techniques to mimic human behavior and adapt quickly to site updates. Collaborating with legal and compliance teams is also important to ensure all data collection respects relevant laws and website terms of service.

What is the difference between Web Scraping vs Data Analyst?

AspectWeb ScrapingData Analyst
Required SkillsProgramming, data extraction, scriptingData interpretation, statistical analysis, visualization
Work EnvironmentTechnical, often remote, involves codingOffice or remote, involves analysis and reporting
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, SQL, Tableau, R
Industry UsageData collection for research, marketing, SEOBusiness insights, reporting, decision-making

Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and analyze data to generate insights. Both roles require analytical thinking but differ in technical focus and end goals.

More about Web Scraping jobs

What are the most commonly searched types of Web Scraping jobs in Seattle, WA?

The most popular types of Web Scraping jobs in Seattle, WA are:

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For Web Scraping jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Web Scraping jobs in Seattle, WA are:

Web Scraping jobs near you
Infographic showing various Web Scraping job openings in Seattle, WA as of August 2026, with employment types broken down into 61% Full Time, 20% Part Time, and 19% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $139,676 per year, or $67.2 per hour.

Python Automation Developer (Onsite)

VeridianTech

Seattle, WA • On-site

$57.25 - $78.75/hr

Other

Re-posted 21 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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