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Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

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 ...

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How much do web scraping job jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for web scraping job in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 per hour, depending on experience, location, and employer.

What is the salary of web scraper?

The salary of a web scraper varies depending on experience, location, and whether they work freelance or for a company. In general, entry-level web scrapers earn around $30,000 to $50,000 annually, while experienced professionals can earn $60,000 or more, especially if they have skills in programming languages like Python and tools such as BeautifulSoup or Scrapy.

Is web scraping a valuable skill?

Web scraping is a valuable skill for web scraping jobs because it involves extracting data from websites using tools like Python, BeautifulSoup, or Scrapy. Proficiency in data handling, programming, and understanding website structures enhances employability in this field.

Will AI replace web scraping?

AI can automate and enhance web scraping tasks by improving data extraction accuracy and handling complex websites. However, human oversight is still needed for tasks like data cleaning, managing legal considerations, and adapting to website changes, so AI is more of a tool to assist than replace web scraping jobs entirely.

Is web scraper a good project?

A web scraping job involves developing scripts or programs to extract data from websites, which can be a valuable project for data collection and analysis. It requires knowledge of programming languages like Python and tools such as BeautifulSoup or Scrapy, and adherence to legal and ethical guidelines is essential. Such projects can enhance technical skills and are often useful in data-driven roles.
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What are the most commonly searched types of Web Scraping Job jobs? The most popular types of Web Scraping Job jobs are:
What job categories do people searching Web Scraping Job jobs look for? The top searched job categories for Web Scraping Job jobs are:
Web Scraping Job jobs near you
Infographic showing various Web Scraping Job job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 24% Part Time, 1% Temporary, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Houston, TX • Remote

$37/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside 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.

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.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year 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.
  • 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).
  • 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).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply