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Remote Python Web Scraping Jobs in San Antonio, TX

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

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  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Web Analytics Tools: Google analytics, Adobe analytics * Advance statistical testing experience

USAA

Information Management Analyst I

San Antonio, TX · On-site +1

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  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Publishing dashboards on web and desktop platforms * Developing automation and validation of key ...

All JobsPython Web Scraping JobsRemote Python Web Scraping JobsRemote Python Web Scraping Jobs in San Antonio, TX

Remote Python Web Scraping information

See San Antonio, TX salary details

$40

$52

$58

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

As of Aug 14, 2026, the average hourly pay for remote python web scraping in San Antonio, TX is $52.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $56.39 per hour, depending on experience, location, and employer.

What is a remote Python web scraping job?

A Remote Python Web Scraping job involves using Python programming to extract data from websites while working from a remote location. Developers in this role typically use libraries like BeautifulSoup, Scrapy, or Selenium to gather, clean, and structure web data for analysis or automation. These jobs are common in industries like e-commerce, finance, and research, where data extraction is crucial. Strong knowledge of HTML, CSS, and APIs is often required, along with experience handling challenges like CAPTCHA and IP blocking.

What does a remote Python web scraping professional do?

In this role, your day-to-day tasks often include developing and maintaining Python scripts to extract data from websites, managing data cleaning and transformation, and troubleshooting issues related to site changes or access blocks. You’ll work independently but frequently collaborate with data analysts, engineers, and project managers to understand data requirements and deliver insights. Staying updated on the latest tools and adapting to new website structures is common, and documenting your processes for team use is also important. This position offers a blend of technical problem-solving and active communication, making each day varied and engaging.

What are the key skills and qualifications needed for a remote Python web scraping position?

To thrive as a Remote Python Web Scraping professional, you need strong Python programming skills, knowledge of web scraping libraries (like BeautifulSoup, Scrapy, or Selenium), and an understanding of web protocols and data handling. Familiarity with version control systems (such as Git), cloud platforms, and task automation tools is often required, and certifications in Python or data analysis can be beneficial. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly are important soft skills in this role. These competencies ensure efficient extraction of valuable data while maintaining data integrity and effective collaboration within remote teams.

What are the most commonly searched types of Python Web Scraping jobs in San Antonio, TX?

The most popular types of Python Web Scraping jobs in San Antonio, TX are:

What are popular job titles related to Remote Python Web Scraping jobs in San Antonio, TX?

For Remote Python Web Scraping jobs in San Antonio, TX, the most frequently searched job titles are:

What job categories do people searching Remote Python Web Scraping jobs in San Antonio, TX look for?

The top searched job categories for Remote Python Web Scraping jobs in San Antonio, TX are:

What cities near San Antonio, TX are hiring for Remote Python Web Scraping jobs?

Cities near San Antonio, TX with the most Remote Python Web Scraping job openings:

Remote Python Web Scraping jobs near you
Infographic showing various Remote Python Web Scraping job openings in San Antonio, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $108,597 per year, or $52.2 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

San Antonio, TX • Remote

$37/hr

Part-time

Re-posted 3 days ago

Job description

Mindrift is looking for highly skilled Web Scraping 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 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 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 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 least 3+ 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 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 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 $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.

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