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Javascript Web Scraping Jobs (NOW HIRING)

The Midtown Group

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

... and web scraping. * Develop data and analytics solutions using AWS and/or Azure, including ... Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations ...

Optimal

Marketing Data Analyst

Austin, TX · On-site

... web scraping, CRMs, etc). Automate reports using Power BI, SQL, and formulas & pivot tables in ... Experience with HTML/Javascript/CSS is a plus. Optimal is proud to offer the following: * Flexible ...

Clipbook, Inc

$150 - $200/hr

Proficiency with web technologies (Next.js, JavaScript/TypeScript, React, etc.) * Genuine ... Familiarity with web scraping frameworks (Playwright, Puppeteer) and different types of API ...

Orbit Media Studios

Senior SEO/CRO Strategist

Chicago, IL · On-site

$80 - $100/hr

Mastery of tools like Google Workspace, Screaming Frog, Semrush, and Google Tag Manager Brownie points * Front-end web development experience (HTML5, CSS3, JavaScript) * Experience with data scraping ...

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Javascript Web Scraping information

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$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.

Research Product Engineer

Saint Petersburg, FL

No Limit Technology
IT Services • 11 - 50 employees
Learn more about No Limit Technologyexternal

Full-time

Re-posted 9 days ago

Job description

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As a Business Facing Product Engineer, you will be at the forefront of ensuring our people enjoy a seamless experience with our production technology systems. Your role is focused on the Research Team and the departments it works with by creating well documented production grade tools that increase productivity, reduce friction and enable new capabilities, whilst minimizing risk. Reporting to the Technology team, headed by the CTO, you will act as the Technology Business Partner for Research.\n
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\n Primary Responsibilities:\n
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\n Enable New Capabilities\n
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Develop dashboards\/applications for portfolio and position\-level performance analysis and decision support\n
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Implement generative\-AI powered tools & automations to accelerate the research & portfolio management process\n
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Build & aggregate reusable data assets for the research team\n
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Increase Productivity \/ Reduce Friction\n
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Automate regular reports & create dashboards to support ad\-hoc analytics\n
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Manage forms and interfaces for data entry and process support across research apps\n
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Drive documentation of existing tools & processes\n
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Manage Risk\n
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Implement data quality analytics & controls\n
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Create automations to assist in record keeping (i.e. meetings, research sources)\n
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Continuous Improvement\n
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Stay informed about industry trends, emerging technologies, and updates related to our technology environment.\n
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Propose enhancements to improve user experience and productivity.\n
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Requirements and Skills\n
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Coding languages: Python, SQL, Javascript\n
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Experience working with databases and data pipelines \/ ETL workflows\n
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Experience working with APIs and web scraping\n
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Experience in working within cloud environments Azure, GCP, AWS\n
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Experience with data visualization tools (PowerBI, Tableau, custom dashboards)\n
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Experience with agile project management and \/ or product management\n
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Experience developing LLM integrations and prompt engineering\n
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Experience with: Airtable, Palantir Foundry, Microsoft Power Automate, GitHub, serverless functions\n
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Microsoft 365 Proficiency: Familiarity with Microsoft 365 applications, administration, and troubleshooting.\n
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User\-Centric Mindset: Ability to empathize with users, communicate effectively, and provide exceptional client support.\n
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Technical Aptitude: Understanding of hardware, software, and networking concepts, Mac and PC.\n
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Problem\-Solving Skills: Resourcefulness in diagnosing and resolving technical issues.\n
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Certifications: Relevant certifications (e.g., Database, AI, Automation and Visualization) are advantageous.\n
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Education: A degree in Information Technology, Computer Science, or a related field.\n
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Minimum 5 years' experience in the required field\n
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