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Python Web Scraping Jobs (NOW HIRING)

aitrainer

$51 - $73/hr

# Senior Python Data Scraping Engineer (Freelance) at Toloka AI* Part-time* Remote, South Carolina ... In this role, you'll apply your expertise in web scraping, data extraction, and data processing to ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core python skills covering: Variables and Data ...

WisEngineering

Write and maintain Python web-scraping scripts to safely harvest relevant web data. * Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring ...

Ceartas

NY · On-site

$120 - $180/hr

Design and develop web scraping systems that support large-scale web data extraction and brand ... Strong Python experience * Experience with PostgreSQL or similar relational databases * Experience ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role ... Scraping * Data & Engineering - SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data ...

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How much do python web scraping jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for 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 is Python web scraping?

Python web scraping is the process of automatically extracting information from websites using Python programming. It typically involves sending HTTP requests to web pages, parsing the HTML content, and retrieving specific data, such as text, images, or links. Common libraries used for web scraping in Python include BeautifulSoup, Scrapy, and Requests. Web scraping is widely used for tasks like data analysis, market research, and price monitoring, but it's important to follow website terms of service and legal guidelines.

What are Python web scraping jobs?

Web scraping is a process used for web data extraction. Python web scraping uses Python software to gather information and organize it for later analysis. You can find work as a Python web scraping engineer or web scraping developer where you write and run spiders to perform web crawling to obtain and extract data, as well as troubleshoot system issues. There are other opportunities as a Python web scraping analyst where your duties are to analyze the gathered information. You can work a Python web scraping job at a specific company or provide freelance services.

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

To excel in Python web scraping, you need strong programming skills in Python, a solid understanding of HTML/CSS, and experience with data extraction techniques. Familiarity with libraries such as Beautiful Soup, Scrapy, Selenium, and tools for data storage like SQL or Pandas is typically required. Attention to detail, problem-solving abilities, and ethical judgment are important soft skills for overcoming technical challenges and ensuring compliance with site policies. These skills are crucial to efficiently gather accurate, legal data from websites and transform it into actionable insights.

What are some common challenges faced by professionals in Python web scraping roles, and how can they be addressed?

Python web scraping professionals frequently encounter challenges such as handling websites with dynamic content, managing IP bans, and ensuring compliance with legal and ethical guidelines. To address these, it's important to use libraries like Selenium for dynamic pages, implement rotating proxies and user agents to avoid blocking, and thoroughly review website terms of service. Staying up to date with best practices and automating error handling will also help navigate these common obstacles effectively.

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

AspectPython Web ScrapingData Analyst
Required SkillsPython, libraries like BeautifulSoup, ScrapyExcel, SQL, data visualization tools
Work EnvironmentProgramming, scripting, automationData interpretation, reporting
Industry UsageWeb data extraction, automation projectsBusiness insights, decision-making

Python Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and visualize data for business insights. Both roles require analytical thinking but differ in technical tools and daily tasks.

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Python Web Scraping jobs near you
Infographic showing various Python Web Scraping job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% 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 • On-site, Remote

$45/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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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