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Internship Remote Web Scraping Jobs in Basking Ridge, NJ

Mercor

Frontend Code Evaluator - Expert

New York, NY · Remote

$90/hr

Remote Role Responsibilities * Render a reference page and two candidate replications side by side ... Web scraping or DOM parsing experience. Application Process (Takes 20-30 mins to complete) * Upload ...

HiWave

Copywriting Intern

Manhattan, NY · On-site +1

Exceptional writing samples (advertising, conversion, headlines, content/web/print examples, etc ... This internship is remote! Additional Information All your information will be kept confidential ...

Castellum.AI

Software Engineer, Data

New York, NY · On-site +1

$100K - $130K/yr

Writing and maintaining web scrapers, building and improving our Python ETL pipelines, and getting ... Fully remote, US-based, working Eastern hours. * We work hard but we don't burn out. Expect ~45-50 ...

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Internship Remote Web Scraping information

See Basking Ridge, NJ salary details

$5

$12

$20

How much do internship remote web scraping jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship remote web scraping in Basking Ridge, NJ is $12.91, according to ZipRecruiter salary data. Most workers in this role earn between $8.65 and $14.86 per hour, depending on experience, location, and employer.

What is an internship remote web scraping position?

An Internship Remote Web Scraping position is an entry-level role where interns work from a remote location to collect and extract data from websites using programming tools and techniques. Interns typically learn how to use web scraping libraries, handle data storage, and respect website terms of service. This internship is ideal for those who want to gain experience in data collection, programming, and working with web technologies in a flexible, remote environment. It also helps develop valuable skills in Python, data analysis, and automation.

What are the key skills and qualifications needed to thrive as an internship remote web scraping professional?

To thrive as an Internship Remote Web Scraping professional, you need a strong understanding of programming languages like Python, web protocols, and data extraction techniques, often supported by coursework or projects in computer science or data analytics. Familiarity with tools such as BeautifulSoup, Scrapy, Selenium, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. Mastering these skills ensures efficient, ethical data collection and smooth collaboration in distributed technical teams.

What types of projects and technologies can I expect to work with during a remote web scraping internship?

As a remote web scraping intern, you'll typically work on projects involving data extraction from websites using tools like Python, BeautifulSoup, Scrapy, or Selenium. Your daily tasks may include building and maintaining scripts to gather structured data, handling anti-bot mechanisms, and cleaning or organizing the collected information. You’ll collaborate closely with data analysts, engineers, or project managers to ensure data quality and timely delivery. The remote nature of the role means communication and self-management skills are important, and you may participate in regular virtual meetings or code reviews with your team.

What is the difference between Internship Remote Web Scraping vs Entry-Level Data Analyst?

AspectInternship Remote Web ScrapingEntry-Level Data Analyst
Required CredentialsBasic programming skills, familiarity with web scraping toolsDegree in data science, statistics, or related field
Work EnvironmentRemote, project-based, often part-time or internshipRemote or on-site, full-time or part-time entry role
Industry UsageTech, marketing, research companies focusing on data extractionBusiness, finance, marketing, and tech sectors analyzing data

Internship Remote Web Scraping focuses on extracting data from websites using programming skills, often as a temporary or learning position. Entry-Level Data Analysts analyze and interpret data to support business decisions, requiring broader analytical skills and often a formal degree. While both roles may work remotely and involve data, Web Scraping internships emphasize technical data collection, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Internship Remote Web Scraping jobs in Basking Ridge, NJ look for?

The top searched job categories for Internship Remote Web Scraping jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Internship Remote Web Scraping jobs?

Cities near Basking Ridge, NJ with the most Internship Remote Web Scraping job openings:

Internship Remote Web Scraping jobs near you

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • On-site, Remote

$37/hr

Part-time

Re-posted 13 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.

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