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Web Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for ...

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How much do web scraping jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for web scraping in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 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.

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Web Scraping jobs near you
Infographic showing various Web Scraping job openings in the United States as of September 2026, with employment types broken down into 55% Full Time, 18% Part Time, and 27% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Web Scraping Engineer (Mid-Level)

Arlington, VA • On-site

Systems Plus, Inc.
IT Services • 51 - 200 employees
Learn more about Systems Plus, Inc.external

Other

Posted 24 days ago

Job description

Position Title: IT Service Desk Specialist – Level II–MEADE

Position Type: Full Time, Remote (Telework in Metro DC area)

Position Location: Arlington, VA

Tracking Code: 01131

Daily Responsibilities
  • Positionsupports the development and maintenance of the agency’sweb scraping infrastructure.The positionis responsible forextracting data from various websites and APIs, ensuring data quality and accuracy, andoptimizingthe scraping process for efficiency.Dutiesinclude:
  • Develop andmaintainweb scraping scripts and tools to extract data from websites and APIs.
  • Collaborate with cross-functional teams to understand data requirements and implement scraping solutions accordingly.
  • Monitor and troubleshoot scraping processes to ensure data quality and accuracy.
  • Optimizescraping scripts for performance and efficiency, considering factors such as speed, scalability, and resourceutilization.
  • Stayup-to-datewith the latest web scraping techniques, tools, and best practices.
  • Conduct data analysis and validation to ensure the integrity of scraped data.
  • Collaborate with data engineering and data science teams to integrate scraped data into our data pipelines and systems.
  • Document and communicate technical solutions, processes, and best practices to team members.
Required Experience
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiencyin Pythonand Javaand experience with web scraping libraries such asBeautifulSoup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarityof data cleaning and preprocessing techniques to ensure data quality.
  • Strong problem-solving skills and ability to troubleshoot and debug scraping issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Attention to detail and ability to handle large volumes of data efficiently.
Preferred Experience
  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding oflegal and ethical considerations related to web scraping.
Required Degree
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline OR Allowable Substitution: Additional ten (10) years of related professional experience can be substituted for a BS/BA degree.
Required Clearance
  • Secret
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