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Freelance Web Data Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

About the Role This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and ...

MLabs

Web Scraping Specialist

New York, NY · Remote

$75K - $100K/yr

... a Web Scraping Specialist to join a specialized technical team focused on building the ... Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic ...

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

The position is responsible for extracting data from various websites and APIs, ensuring data ... Develop and maintain web scraping scripts and tools to extract data from websites and APIs.

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Senior Data Engineer - Web Scraping based in Netherlands. This is a fully remote opportunity for a data engineering professional specializing in web scraping, data ...

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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.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • On-site, Remote

$45/hr

Part-time

Re-posted 20 days ago

Job description

Mindrift is looking for highly skilled Vibecode 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 Senior 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 Senior 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 requirement.
  • 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 5+ 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 development tools and technologies, 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
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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 $45 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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