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Internship Remote Web Scraping Jobs (NOW HIRING)

Web Design Internship Remote If you're studying design and want to see how it actually works inside a real agency, not just in class projects, this is a good place to start! The Mannix Marketing ...

Research through web analytics and use keywords for global promotion and generating leads through ... Requirements Only those candidates can apply who: * are available for the remote/internship * can ...

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

$39K - $49K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop and maintain web scraping scripts to collect data from various online sources * Clean ...

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential ... to large-scale web scraping and data harvesting. If you have deep experience with Scrapy or ...

AWS Python Developer

$51.50 - $71/hr

AWS Python Developer Remote Responsible for driving the design and implementation of specific data ... Perform tasks such as writing scripts, web scraping, calling-writing APIs, write SQL queries, etc.

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

As of Jun 7, 2026, the average hourly pay for internship remote web scraping in the United States is $12.53, according to ZipRecruiter salary data. Most workers in this role earn between $8.41 and $14.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Web Scraping professional, and why are they important?

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 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 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 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.
More about Internship Remote Web Scraping jobs
What cities are hiring for Internship Remote Web Scraping jobs? Cities with the most Internship Remote Web Scraping job openings:
What are the most commonly searched types of Remote Web Scraping jobs? The most popular types of Remote Web Scraping jobs are:
What states have the most Internship Remote Web Scraping jobs? States with the most job openings for Internship Remote Web Scraping jobs include:
Infographic showing various Internship Remote Web Scraping job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $26,055 per year, or $12.5 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Posted 12 days ago


Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside 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.

Requirements:

  • At least 5+ 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.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are 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)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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 $45 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.