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Part Time Python Web Scraping Jobs (NOW HIRING)

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... plus Python web scraping: Build reliable scraping scripts using BeautifulSoup, Selenium (or ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... plus Python web scraping: Build reliable scraping scripts using BeautifulSoup, Selenium (or ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... plus Python web scraping: Build reliable scraping scripts using BeautifulSoup, Selenium (or ...

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Part Time Python Web Scraping information

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

As of Jun 3, 2026, the average hourly pay for part time python web scraping 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 are the key skills and qualifications needed to thrive as a Part Time Python Web Scraping specialist, and why are they important?

To thrive as a Part Time Python Web Scraping specialist, you need strong proficiency in Python programming, understanding of web technologies (HTML, CSS), and experience with data extraction techniques. Familiarity with libraries such as BeautifulSoup, Scrapy, and requests, as well as knowledge of version control systems like Git, is typically required. Attention to detail, problem-solving skills, and effective time management are valuable soft skills for this role. These competencies ensure efficient, accurate data collection and the ability to handle the dynamic challenges of web data extraction in a flexible part-time environment.

What are some common challenges faced in part-time Python web scraping roles, and how can they be managed?

Part-time Python web scraping roles often involve navigating changing website structures, handling anti-scraping measures, and managing data quality. Staying updated with the latest Python libraries like BeautifulSoup, Scrapy, or Selenium can help address technical challenges. It's also important to communicate regularly with stakeholders to clarify data requirements and ensure that scripts remain compliant with websites' terms of service. Collaborating with team members or seeking peer feedback can lead to more efficient and robust scraping solutions.

What is a Part Time Python Web Scraping job?

A Part Time Python Web Scraping job involves using Python programming skills to extract data from websites and online sources, usually on a flexible or reduced-hours schedule. Professionals in this role write scripts to automate the collection of information, process the data, and sometimes format it for analysis or reporting. This job is ideal for those who want to balance work with other commitments, and it often requires knowledge of Python libraries like BeautifulSoup, Scrapy, or Selenium. Employers may be businesses, research organizations, or individuals needing up-to-date data for decision-making or content aggregation.

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

AspectPart Time Python Web ScrapingPart Time Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote or freelance projects, tech-focusedOffice or remote, business or research settings
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

Part Time Python Web Scraping focuses on extracting data from websites using Python, ideal for projects needing automated data collection. Part Time Data Analyst involves analyzing data sets to generate insights, often requiring statistical and visualization skills. While both roles may use some overlapping tools, their core functions differ: one is data extraction, the other is data interpretation.

More about Part Time Python Web Scraping jobs
What are the most commonly searched types of Python Web Scraping jobs? The most popular types of Python Web Scraping jobs are:
What job categories do people searching Part Time Python Web Scraping jobs look for? The top searched job categories for Part Time Python Web Scraping jobs are:
Infographic showing various Part Time Python Web Scraping job openings in the United States as of May 2026, with employment types broken down into 99% Part Time, and 1% Temporary. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY โ€ข Remote

$45/hr

Part-time

Posted 8 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.