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Contractual Python Web Scraping Jobs in Austin, TX

Python Tutor

Austin, TX ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Round Rock, TX ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

San Marcos, TX ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Contractual Python Web Scraping information

See Austin, TX salary details

$44

$57

$63

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

As of Jul 30, 2026, the average hourly pay for contractual python web scraping in Austin, TX is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $61.97 per hour, depending on experience, location, and employer.

What are Contractual Python Web Scraping jobs?

Contractual Python Web Scraping jobs involve hiring professionals on a temporary or project basis to extract data from websites using the Python programming language. These jobs typically require knowledge of Python libraries such as BeautifulSoup, Scrapy, or Selenium to automate the process of collecting and processing web data. Contractual roles are ideal for companies or individuals who need specific data sets or one-time scraping projects completed efficiently, without committing to a long-term hire.

What are some common challenges faced in a contractual Python web scraping role, and how can job seekers prepare for them?

In a contractual Python web scraping role, professionals often encounter challenges such as dealing with websites that implement anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To prepare, job seekers should familiarize themselves with tools like Selenium, BeautifulSoup, and Scrapy, as well as techniques for rotating proxies and handling CAPTCHAs. Staying up to date with legal and ethical considerations regarding web scraping is also crucial. Proactive communication with clients to clarify project requirements and timelines can further help ensure successful project delivery.

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

To thrive as a Contractual Python Web Scraping specialist, you need strong proficiency in Python programming, web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems (e.g., Git), API usage, and cloud platforms is often required, along with experience in handling data storage formats like JSON or CSV. Attention to detail, problem-solving skills, and effective communication are vital soft skills for interpreting client requirements and overcoming scraping challenges. These skills ensure accurate data extraction, reliable project delivery, and successful collaboration with clients or teams.

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

AspectContractual Python Web ScrapingContractual Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentProject-based, remote or on-site, technical focusBusiness-focused, collaborative, reporting-oriented
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

Contractual Python Web Scraping specialists focus on extracting data from websites using Python, while Contractual Data Analysts interpret and analyze data to support business decisions. Both roles often collaborate but differ in technical skills and primary responsibilities.

What are the most commonly searched types of Python Web Scraping jobs in Austin, TX? The most popular types of Python Web Scraping jobs in Austin, TX are:
What cities near Austin, TX are hiring for Contractual Python Web Scraping jobs? Cities near Austin, TX with the most Contractual Python Web Scraping job openings:

Freelance Data Scraping Engineer (Python)

Mindrift

Austin, TX โ€ข Remote

$37/hr

Part-time

Re-posted 18 days ago


Job description

Mindrift is looking for highly skilledย Web Scrapingย 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 skilledย Python Data Scraping Engineersย 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 Doย 

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.ย As a Python Data Scraping Engineer,ย 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.ย 

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 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.

Educational qualifications

  • At leastย 3+ yearsย 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 web technologies and data processing tools, 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

  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • 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 expectationsย 

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.

Compensationย 

On this project, contributors can earn up toย $37 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.