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Web Scraping Jobs in Texas (NOW HIRING)

GameStop Texas LTD

Lead AI/ML Engineer

Grapevine, TX

$94K - $124K/yr

Hands on experience with systems requiring real time web scraping from various sources. * Strong experience as an owner of major technical projects. * Eagerness to solve complex technical problems.

GameStop

Lead AI/ML Engineer

Grapevine, TX · On-site

$94K - $124K/yr

Hands on experience with systems requiring real time web scraping from various sources. * Strong experience as an owner of major technical projects. * Eagerness to solve complex technical problems.

Michaels Stores, Inc.

Pricing Analyst

Irving, TX · On-site

Perform web scraping validation of competitive matches. * Perform ad hoc comp shop projects for Manager and Merchant team. Reporting: * Support Pricing Director with ownership of an assigned pricing ...

Michaels Stores

Pricing Analyst

Irving, TX · On-site

Perform web scraping validation of competitive matches. * Perform ad hoc comp shop projects for Manager and Merchant team. Reporting: * Support Pricing Director with ownership of an assigned pricing ...

MedReview

Data Scientist

Austin, TX · On-site

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling. * Model Development: Design and implement algorithms and predictive ...

MedReview

Data Scientist

Austin, TX · On-site

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling. * Model Development: Design and implement algorithms and predictive ...

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Web Scraping information

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$10

$54

$80

How much do web scraping jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for web scraping in Texas is $54.97, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $62.26 per hour, depending on experience, location, and employer.

What are some common challenges faced by web scraping professionals, and how are they typically addressed?

Web scraping professionals often encounter challenges such as dealing with websites that use dynamic content loading, anti-scraping measures like CAPTCHAs, or frequent changes to site structure. To overcome these, they may use headless browsers, rotating proxies, and advanced parsing techniques to mimic human behavior and adapt quickly to site updates. Collaborating with legal and compliance teams is also important to ensure all data collection respects relevant laws and website terms of service.

What is web scraping?

Web scraping is the automated process of extracting data from websites. It involves using software tools or scripts to collect information from web pages, which can then be saved and analyzed for various purposes. Web scraping is commonly used for market research, price monitoring, data aggregation, and academic research. However, it's important to respect website terms of service and legal considerations when scraping data.

What is the difference between Web Scraping vs Data Analyst?

AspectWeb ScrapingData Analyst
Required SkillsProgramming, data extraction, scriptingData interpretation, statistical analysis, visualization
Work EnvironmentTechnical, often remote, involves codingOffice or remote, involves analysis and reporting
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, SQL, Tableau, R
Industry UsageData collection for research, marketing, SEOBusiness insights, reporting, decision-making

Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and analyze data to generate insights. Both roles require analytical thinking but differ in technical focus and end goals.

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

To thrive as a Web Scraping Specialist, you need strong programming skills in languages like Python, knowledge of HTML/CSS, and an understanding of data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and sometimes APIs or browser automation is typically required. Attention to detail, problem-solving, and ethical judgment are important soft skills that help navigate complex data sources and legal considerations. These skills ensure efficient, accurate, and compliant collection of large-scale data critical for analytics and business intelligence.

What are web scraping jobs?

Web scraping jobs involve using specialized software and web crawling tools to extract data from websites. This data is extracted for competitor analysis, market trends, pricing research, and other information that can help businesses improve their performance. As a data engineer, your responsibilities are to understand and use these tools or use manual techniques to collect information. Your duties also include creating or troubleshooting web scraping tools, analyzing the data you obtain, and passing the information on to the appropriate leaders of a company. You can find these positions with technology companies that offer web scraping services to clients.

More about Web Scraping jobs
What are the most commonly searched types of Web Scraping jobs in Texas? The most popular types of Web Scraping jobs in Texas are:
What are popular job titles related to Web Scraping jobs in Texas? For Web Scraping jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Web Scraping jobs in Texas look for? The top searched job categories for Web Scraping jobs in Texas are:
What cities in Texas are hiring for Web Scraping jobs? Cities in Texas with the most Web Scraping job openings:
Web Scraping jobs near you
Infographic showing various Web Scraping job openings in Texas as of August 2026, with employment types broken down into 61% Full Time, 15% Part Time, and 24% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

San Antonio, TX • Remote

$37/hr

Part-time

Re-posted 28 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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