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Python Web Scraping Internship Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

As a Senior 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 ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( and ... Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project ...

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

Proficiency in Python and Java and experience with web scraping libraries such as BeautifulSoup, Scrapy, or Selenium. * Knowledge of AI/machine learning techniques for data extraction and ...

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

As of Aug 5, 2026, the average hourly pay for python web scraping internship in the United States is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $62.50 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can I expect during a Python web scraping internship?

As a Python Web Scraping Intern, you'll typically work on projects that involve extracting data from various websites using libraries such as BeautifulSoup, Scrapy, or Selenium. Your daily tasks may include writing and debugging scripts, cleaning and organizing scraped data, and ensuring compliance with website terms of service. You'll often collaborate with data analysts or software engineers to understand data requirements and integrate your work into larger data pipelines. This role provides a hands-on learning environment, helping you develop practical coding skills, problem-solving abilities, and teamwork experience.

What is the difference between Python Web Scraping Internship vs Data Analyst Internship?

AspectPython Web Scraping InternshipData Analyst Internship
Required SkillsPython, web scraping tools, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Industry UsageData collection, automation, research projectsData interpretation, reporting, decision-making support

While both internships involve working with data, a Python Web Scraping Internship focuses on extracting data from websites using Python, whereas a Data Analyst Internship emphasizes analyzing and visualizing data to support business decisions. The skills and work environments overlap in tech settings, but their core responsibilities differ significantly.

What is a Python web scraping internship?

A Python Web Scraping Internship is a training position where interns learn to use Python programming to extract data from websites. Interns typically work on projects involving automated data collection, cleaning, and storage using Python libraries like BeautifulSoup, Scrapy, or Selenium. The role helps build practical experience in both coding and understanding web structures, which is valuable for careers in data science, software development, or research. Interns may also gain skills in handling large datasets and understanding ethical considerations in web scraping.

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

To thrive as a Python Web Scraping Intern, you need a solid understanding of Python programming, familiarity with web protocols, and a basic grasp of HTML, CSS, and JavaScript. Experience using libraries like BeautifulSoup, Scrapy, or Selenium, along with version control systems like Git, is typically required. Strong analytical thinking, attention to detail, and effective problem-solving skills help you navigate complex data extraction tasks and adapt to changing website structures. These skills are crucial for efficiently collecting accurate data and ensuring compliance with ethical and legal standards in data gathering.
More about Python Web Scraping Internship jobs
What cities are hiring for Python Web Scraping Internship jobs? Cities with the most Python Web Scraping Internship job openings:
What are the most commonly searched types of Python Web Scraping jobs? The most popular types of Python Web Scraping jobs are:
What states have the most Python Web Scraping Internship jobs? States with the most job openings for Python Web Scraping Internship jobs include:
What job categories do people searching Python Web Scraping Internship jobs look for? The top searched job categories for Python Web Scraping Internship jobs are:
Python Web Scraping Internship jobs near you
Infographic showing various Python Web Scraping Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Re-posted 10 days ago

Job description

Mindrift is looking for highly skilled Vibecode 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 Senior 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 Senior 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 requirement.
  • 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 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.

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 development tools and technologies, 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
  • 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.

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