ZipRecruiter

Log In

1

Web Scraping Jobs in Virginia (NOW HIRING)

Dynamis, Inc.

Junior Data Analyst

Arlington, VA · On-site

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data. * Three (3) or more ...

Dynamis, Inc.

Junior Data Analyst

Arlington, VA

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data.  * Three (3) or more ...

Trustible

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $186K/yr

You will support backend data collection capabilities, including building fleets of agents autonomously scraping information about AI models from the web. You will help build flexible internal ...

Trustible

Senior Software Engineer

Arlington, VA · On-site

$140K - $185K/yr

You will support backend data collection capabilities, including building fleets of agents autonomously scraping information about AI models from the web. You will help build flexible internal ...

Handyman Connection

Residential Painter

Winchester, VA · On-site

$800 - $1.0K/wk

Prepares various surfaces for painting by washing, scraping, burning, sanding, sandblasting or ... Check us out on the web at: www.handymanconnection.com What our customers say: Why Handyman ...

next page

Showing results 1-20

All JobsWeb Scraping JobsWeb Scraping Jobs in Virginia

Web Scraping information

See Virginia salary details

$11

$58

$85

How much do web scraping jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for web scraping in Virginia is $58.50, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $66.25 per hour, depending on experience, location, and employer.

Will AI replace web scraping?

AI is unlikely to fully replace web scraping jobs, as web scraping involves technical skills to extract data from websites, which AI can assist but not entirely automate. Web scrapers often require programming knowledge, such as Python or JavaScript, and understanding of website structures. AI tools can improve efficiency but still depend on human oversight and maintenance.

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 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 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.

Is web scraping a job?

Web scraping is a job that involves extracting data from websites using tools like Python, BeautifulSoup, or Scrapy. It is often performed by data analysts, developers, or specialized web scraping professionals, and may require knowledge of programming, data handling, and compliance with website terms of service.

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.

Is web scraping illegal?

Web scraping as a job involves extracting data from websites, but its legality depends on factors such as website terms of service and applicable laws. While scraping itself is not inherently illegal, unauthorized or aggressive scraping can lead to legal issues, so professionals often ensure compliance and use ethical practices. Understanding copyright, data privacy, and website policies is important for web scraping roles.

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 is the salary of web scraping engineer?

The salary of a web scraping engineer typically ranges from $60,000 to $120,000 annually, depending on experience, location, and skill level. Professionals skilled in programming languages like Python and tools such as BeautifulSoup or Scrapy tend to earn higher salaries, especially with experience in data extraction and automation.
More about Web Scraping jobs
What are the most commonly searched types of Web Scraping jobs in Virginia? The most popular types of Web Scraping jobs in Virginia are:
What are popular job titles related to Web Scraping jobs in Virginia? For Web Scraping jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Web Scraping jobs in Virginia look for? The top searched job categories for Web Scraping jobs in Virginia are:
What cities in Virginia are hiring for Web Scraping jobs? Cities in Virginia with the most Web Scraping job openings:
Web Scraping jobs near you
Junior Data Analyst

Junior Data Analyst

Dynamis, Inc.

Arlington, VA • On-site

Full-time

Posted 15 days ago

Job description

Dynamis is seeking a Junior Data Analyst to support Homeland Security Investigations (HSI), in Crystal City, VA or Huntsville, AL by assisting law enforcement (LE) entities and IA partners in their transnational investigations.
Responsibilities:
  • Use digital methods to conduct all source and open-source research and analysis on matters of national security to support ongoing investigations.
  • Assess foreign and domestic-based publicly available information to identify trends, patterns, and relationships that provide unique insights to address intelligence requirements.
  • Exploit data from specific sources and raw intelligence and compile them to validate intelligence collection requirements.
  • Identify trends, detect high-risk areas for weapons proliferation and prioritize enforcement approaches by applying research and advanced analytics.
  • Deliver accurate, complete, and timely data to users across the organization.
  • Work with Law Enforcement Sensitive (LES) information within the guidelines of statute, regulations, and policy governing the customer. As detailed in the Terms and Conditions all personnel will be required to obtain at least a Public Trust High adjudication.

Requirements:
  • U.S. citizenship.
  • Ability to obtain ICE suitability (current ICE or DHS suitability is preferred).
  • Ability to obtain DOD Top Secret Clearance (current DOD TS Clearance is preferred).
  • Three (3) or more years supporting intelligence operations in the US Federal Government preferred.
  • Three (3) or more years' experience in data collection, data conditioning, entity resolution and follow-up research.
  • Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data.
  • Three (3) or more years' experience in social media exploitation.
  • Three (3) or more years' experience in data analysis including trend analysis, link analysis, and identification of hidden associations.
  • Bachelor's degree or higher from an accredited University or five (5) years of experience working in a related field.
  • Proficient in the following Microsoft applications: Word, Excel, PowerPoint, Outlook.
  • Applicants must have ability to work in fast-paced environment, apply analytical techniques and critical thinking skills, have excellent oral and written communications, and willingness to learn and navigate multiple system applications.

Apply