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Part Time Remote Web Scraping Jobs in Ridgefield Park, NJ

AI Product Engineer

New York, NY · Remote

$60 - $80/hr

This is a part-time, remote engagement of approximately 20 to 25 hours per week. What You'll Do: * Build and maintain full-stack web and mobile-friendly applications, including React-based front ends ...

AI Product Engineer

New York, NY · On-site +1

$60 - $80/hr

This is a part-time, remote engagement of approximately 20 to 25 hours per week. What You'll Do: * Build and maintain full-stack web and mobile-friendly applications, including React-based front ends ...

AI Product Engineer

New York, NY · Remote

$60 - $80/hr

This is a part-time, remote engagement of approximately 20 to 25 hours per week. What You'll Do: * Build and maintain full-stack web and mobile-friendly applications, including React-based front ends ...

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Showing results 1-20

Part Time Remote Web Scraping information

See Ridgefield Park, NJ salary details

$12

$63

$92

How much do part time remote web scraping jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for part time remote web scraping in Ridgefield Park, NJ is $63.32, according to ZipRecruiter salary data. Most workers in this role earn between $54.95 and $71.73 per hour, depending on experience, location, and employer.

What is part time remote web scraping?

Part time remote web scraping refers to a job where individuals extract data from websites using automated tools or scripts, working less than full-time hours and performing all tasks from a remote location. Web scrapers help organizations collect large amounts of data for various purposes, such as research, competitor analysis, or market trends. The remote aspect allows for flexibility in work schedule and location, making this role suitable for freelancers, students, or those seeking supplementary income. Typical responsibilities may include writing code in languages like Python, troubleshooting scraping issues, and ensuring data accuracy. Familiarity with tools like BeautifulSoup, Scrapy, or Selenium is often required.

What are some common challenges faced in a part time remote web scraping role and how can they be addressed?

Part time remote web scraping professionals often encounter challenges such as dealing with websites that implement anti-scraping measures, managing inconsistent or changing website structures, and handling large volumes of data efficiently. To address these, it’s important to stay updated with ethical scraping practices, utilize libraries like BeautifulSoup or Scrapy that can handle dynamic content, and implement data validation checks to ensure accuracy. Regular communication with your team or clients helps clarify data requirements and quickly resolve any issues that arise during the scraping process.

What is the difference between Part Time Remote Web Scraping vs Part Time Remote Data Entry?

AspectPart Time Remote Web ScrapingPart Time Remote Data Entry
Required SkillsBasic programming, data extraction toolsTyping, data organization
Work EnvironmentRemote, independentRemote, independent
Industry UsageWeb development, data analysisAdministrative, business support
Common CertificationsBasic coding or scraping tools knowledgeNone typically required

Part Time Remote Web Scraping involves extracting data from websites using programming skills, while Part Time Remote Data Entry focuses on inputting data into systems. Both roles are remote and flexible but differ in technical requirements and industry applications.

What job categories do people searching Part Time Remote Web Scraping jobs in Ridgefield Park, NJ look for?

The top searched job categories for Part Time Remote Web Scraping jobs in Ridgefield Park, NJ are:

Infographic showing various Part Time Remote Web Scraping job openings in Ridgefield Park, NJ as of August 2026, with employment types broken down into 81% Full Time, 11% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,715 per year, or $63.3 per hour.

Freelance Data Scraping Engineer (Python)

New York, NY • Remote

$37/hr

Part-time

Re-posted 16 days ago


Job description

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.

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 technical professionals with hands-on experience in web scraping, data extraction, and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches. 

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.