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Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( and ... About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ...

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How much do freelance web data scraping jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance web data scraping in the United States is $34.86, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $40.87 per hour, depending on experience, location, and employer.

What are some common challenges faced by freelance web data scraping professionals, and how can they be addressed?

Freelance web data scraping professionals often encounter challenges such as website structure changes, anti-scraping measures (like CAPTCHAs or IP blocking), and varying data formats. Staying updated with the latest scraping tools and techniques, using rotating proxies, and employing headless browsers can help overcome these obstacles. Building strong communication with clients to clarify data requirements and proactively addressing potential legal or ethical concerns also contributes to successful project outcomes.

What is the difference between Freelance Web Data Scraping vs Freelance Data Mining?

AspectFreelance Web Data ScrapingFreelance Data Mining
CredentialsBasic programming skills, knowledge of web scraping toolsData analysis skills, knowledge of data mining techniques
Work EnvironmentPrimarily remote, project-basedRemote or on-site, often involves data analysis platforms
Industry UsageWebsites, e-commerce, researchBusiness intelligence, market research, analytics
Search & Comparison IntentFocus on extracting data from websitesFocus on analyzing large datasets for insights

Freelance Web Data Scraping involves extracting data directly from websites using programming tools, while Freelance Data Mining focuses on analyzing large datasets to uncover patterns and insights. Both roles require technical skills but serve different purposes in data collection and analysis.

What are the key skills and qualifications needed to thrive as a freelance web data scraper, and why are they important?

To thrive as a Freelance Web Data Scraper, you need strong programming skills in languages like Python, familiarity with HTML/CSS, and a solid understanding of data extraction techniques. Proficiency with tools such as Beautiful Soup, Scrapy, Selenium, and knowledge of APIs is essential, and certifications in data science or web development can be advantageous. Attention to detail, problem-solving abilities, and effective communication help freelancers navigate complex websites and manage client expectations. These skills ensure efficient, ethical, and accurate data extraction, which is crucial for delivering value and maintaining client trust.

What is freelance web data scraping?

Freelance web data scraping involves extracting information from websites on behalf of clients, usually for purposes like research, business intelligence, or data analysis. Freelancers use programming languages and tools, such as Python with libraries like BeautifulSoup or Scrapy, to collect and organize data efficiently. They must ensure their methods comply with legal and ethical guidelines, as not all websites permit data scraping. Clients typically hire freelance web scrapers for specific projects or ongoing data collection needs.
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Freelance Web Data Scraping jobs near you
Infographic showing various Freelance Web Data Scraping job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,500 per year, or $34.9 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

San Antonio, TX • Remote

$37/hr

Part-time

Re-posted 5 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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