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Python Web Scraping Junior 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 various tools such as our provided Apify and ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed ... Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic ...

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 junior jobs pay per year?

As of Jun 4, 2026, the average yearly pay for python web scraping junior in the United States is $79,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Web Scraping Junior, and why are they important?

To thrive as a Python Web Scraping Junior, you need a solid understanding of Python programming, basic knowledge of web protocols (HTTP/HTTPS), and familiarity with HTML and CSS. Experience with libraries such as BeautifulSoup, Scrapy, and requests, along with version control systems like Git, are typically required. Attention to detail, problem-solving abilities, and strong communication skills help you navigate data challenges and collaborate with teams. These skills ensure you can efficiently extract, process, and deliver accurate web data in compliance with project requirements.

What are some common challenges faced by a Python Web Scraping Junior, and how can they be addressed?

As a Python Web Scraping Junior, you may frequently encounter issues such as navigating websites with dynamic content loaded by JavaScript, handling CAPTCHAs or anti-bot measures, and managing data inconsistencies. These challenges can be addressed by learning to use advanced tools like Selenium for dynamic pages, integrating proxy rotation or delay tactics to avoid detection, and writing robust code to clean and validate the scraped data. Collaborating with more experienced team members and staying updated on legal and ethical scraping guidelines also helps you develop best practices and avoid common pitfalls.

What does a Python Web Scraping Junior do?

A Python Web Scraping Junior is responsible for writing and maintaining code to extract data from websites using Python. They typically work with libraries like BeautifulSoup, Scrapy, and Requests to automate the collection of information from web pages. Their role often involves cleaning and organizing the scraped data, troubleshooting issues with scraping scripts, and ensuring compliance with website terms of service. As juniors, they usually work under the guidance of more experienced developers and gradually take on more complex tasks as they gain experience.

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

AspectPython Web Scraping JuniorPython Data Analyst
Required SkillsBasic Python, web scraping libraries (BeautifulSoup, Scrapy)Python, data analysis, visualization, SQL
CertificationsNone typically required, some courses helpfulData analysis certifications (e.g., Microsoft, Coursera)
Work EnvironmentTech companies, digital marketing, research firmsBusiness, finance, marketing, tech industries
Job FocusExtracting data from websitesAnalyzing and interpreting data sets

The main difference is that Python Web Scraping Junior focuses on extracting data from websites using Python, while Python Data Analysts work on analyzing and interpreting data to support business decisions. Web scraping roles are more technical and specialized, whereas data analysts require broader data handling and visualization skills.

What are the most commonly searched types of Python Web Scraping jobs? The most popular types of Python Web Scraping jobs are:
Infographic showing various Python Web Scraping Junior job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $79,244 per year, or $38.1 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

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.

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