ZipRecruiter

Log In

1

Javascript 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 ... JavaScript-rendered content and changing site behavior. * Enforce data quality standards through ...

aitrainer

$60 - $80/hr

... web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site ... Scale scraping operations for large datasets using efficient batching or parallelization, monitor ...

next page

Showing results 1-20

All JobsTechnology JobsJavascript Web Scraping Jobs

Javascript Web Scraping information

See salary details

$11K

$58.8K

$96.5K

How much do javascript web scraping jobs pay per year?

As of Sep 9, 2026, the average yearly pay for javascript web scraping in the United States is $58,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What is JavaScript web scraping?

JavaScript web scraping is the process of using JavaScript code to extract data from websites. Developers often use JavaScript in combination with tools like Node.js, Puppeteer, or Cheerio to automate browsing and collect information from web pages, even those that require JavaScript to display content. This technique is useful for gathering data for research, analytics, or integration into other applications, but it's important to ensure that scraping respects the target website's terms of service and legal guidelines.

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

To thrive as a Javascript Web Scraping Specialist, you need strong proficiency in Javascript, knowledge of web technologies (HTML, CSS, DOM), and experience with asynchronous programming and APIs. Familiarity with libraries and tools such as Puppeteer, Cheerio, Selenium, and browser developer tools is typically required. Attention to detail, problem-solving ability, and ethical awareness are soft skills that help professionals navigate website structures and data policies. These skills are crucial for efficiently extracting accurate data while respecting legal and technical challenges on the web.

What are some common challenges faced by professionals in JavaScript web scraping roles, and how can they be addressed?

One common challenge in JavaScript web scraping is dealing with dynamic websites that load content asynchronously or require user interaction to display data. To address this, developers often use headless browsers like Puppeteer or Selenium, which can render JavaScript and mimic user actions. Another challenge is handling anti-scraping measures such as CAPTCHAs or rate limiting, which may require implementing delays, rotating proxies, or using specialized services. Staying up-to-date with changes in website structures and maintaining code flexibility is also crucial to ensure ongoing scraping success.

What is the difference between Javascript Web Scraping vs Python Data Extraction?

AspectJavascript Web ScrapingPython Data Extraction
CredentialsBasic programming knowledge, familiarity with JavaScriptProficiency in Python, data handling libraries
Work EnvironmentBrowser-based or server-side JavaScript environmentsDesktop or server-side scripting with Python
Industry UsageWeb development, front-end automationData analysis, backend data processing
Common Search IntentWeb scraping with JavaScriptData extraction using Python

Javascript Web Scraping and Python Data Extraction are both used for retrieving data from websites, but they differ in programming language, tools, and typical use cases. Javascript is often used for client-side scraping and automation within browsers, while Python excels in backend data processing and analysis. Your choice depends on your project requirements and environment.

What other helpful pages are available for Javascript Web Scraping?

Other pages related to Javascript Web Scraping:

Infographic showing various Javascript Web Scraping job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $58,750 per year, or $28.2 per hour.

Web Scraping Engineer (U.S. Citizen)

Fulton, MD • On-site

Join Our Team
See more jobs at Join Our Teamexternal

$95K - $105K/yr

Full-time

Re-posted 14 days ago

Job description

Description:

NOTE: This is a full-time employment opportunity (No C2C, subcontractor or 1099 engagements, please.). The candidate MUST be a U.S. Citizen and able to complete/pass/hold at a minimum public trust investigation (active public trust is preferred). This is a remote opportunity; however, candidate must reside in the DC, Maryland, Virginia (DMV) metro area.


Daily Responsibilities

  • Support the development and maintenance of the agency’s web scraping infrastructure. Responsible for extracting data from various websites and APIs, ensuring data quality and accuracy, and optimizing the scraping process for efficiency. Duties include:
  • Develop and maintain web 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.
  • Optimize scraping scripts for performance and efficiency, considering factors such as speed, scalability, and resource utilization.
  • Stay up to date with 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.
Requirements:
  • Must be a U.S. Citizen (no dual status) as mandated by our government client.
  • Must be able to complete/pass/hold at a minimum public trust investigation (an active public trust is preferred).
  • This is a remote opportunity; however, candidate must reside in the DMV area (as mandated by our government client).
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiency in Python and Java and experience with web scraping libraries such as Beautiful Soup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Understanding of HTML, CSS, and JavaScript to navigate and interact with websites.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarity of 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.
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline. Additional years of related professional experience can be substituted for a BS/BA degree.


Additional Qualifications (a PLUS):

  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding of legal and ethical considerations related to web scraping.


Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, location, and other business and organizational needs.