1

Telecommute Python Web Scraping Jobs in Texas (NOW HIRING)

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 ...

next page

Showing results 1-20

Telecommute Python Web Scraping information

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

To thrive as a Telecommute Python Web Scraping Specialist, you need strong Python programming skills, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and data formats such as JSON and CSV. Familiarity with version control systems like Git, cloud platforms, and knowledge of handling CAPTCHAs or anti-bot systems are typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure efficient data extraction, compliance with legal and ethical standards, and smooth collaboration in a remote work environment.

What are some common challenges faced when working remotely as a Python web scraping specialist, and how can they be addressed?

Remote Python web scraping specialists often encounter challenges like managing asynchronous communication with team members, handling inconsistent website structures, and ensuring compliance with website terms of service. To address these, it's important to establish clear communication channels (such as Slack or regular video calls), maintain detailed documentation, and use robust scraping frameworks that handle website changes gracefully. Additionally, staying updated on legal and ethical guidelines for web scraping is crucial to avoid potential pitfalls.

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

AspectTelecommute Python Web ScrapingTelecommute Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentRemote, independent, technicalRemote, collaborative, analytical
Industry UsageWeb data collection, research, market analysisBusiness insights, reporting, decision-making

While both roles often work remotely and require analytical skills, Telecommute Python Web Scraping focuses on extracting data from websites using Python, whereas Telecommute Data Analysts interpret and visualize data to support business decisions. The roles complement each other but serve different primary functions in data workflows.

What are Telecommute Python Web Scraping jobs?

Telecommute Python Web Scraping jobs involve working remotely to develop and maintain scripts or applications that extract data from websites using the Python programming language. Professionals in these roles use libraries such as BeautifulSoup, Scrapy, or Selenium to automate the collection of web data for analysis, business intelligence, or research purposes. The remote aspect allows workers to perform their tasks from any location with internet access, collaborating with teams or clients online. These jobs typically require knowledge of web protocols, HTML, and ethical scraping practices.
What are the most commonly searched types of Python Web Scraping jobs in Texas? The most popular types of Python Web Scraping jobs in Texas are:
What cities in Texas are hiring for Telecommute Python Web Scraping jobs? Cities in Texas with the most Telecommute Python Web Scraping job openings:

Freelance Data Scraping Engineer (Python)

Mindrift

Austin, TX • Remote

$37/hr

Part-time

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


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.