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Scraping Jobs in Texas (NOW HIRING)

ROSEWOOD CHIROPRACTIC PC

Massage Therapist

Austin, TX · On-site

$25 - $45/hr

Perform a variety of techniques such as deep tissue massage, myofascial, cupping, scraping, and stretching. No swedish. * Educate clients on self care and other services offered. * Maintain accurate ...

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Scraping information

See Texas salary details

$26.4K

$61.6K

$128K

How much do scraping jobs pay per year?

As of Aug 23, 2026, the average yearly pay for scraping in Texas is $61,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,014.00 and $68,595.00 per year, depending on experience, location, and employer.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in Texas?

For Scraping jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in Texas look for?

The top searched job categories for Scraping jobs in Texas are:

What cities in Texas are hiring for Scraping jobs?

Cities in Texas with the most Scraping job openings:

Scraping jobs near you
Infographic showing various Scraping job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 15% Part Time, 2% Contract, 1% Nights, and 6% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $61,629 per year, or $29.6 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Dallas, TX • Remote

$37/hr

Part-time

Re-posted 12 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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