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Python Data Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

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 ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support ... scraping websites with Requests, Beautiful Soup, Selenium, etc. • Oracle / PL SQL development ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Senior Data Engineer - Web Scraping based in Netherlands. This is a ... The role combines hands-on Python development, data transformation, database engineering, and ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium ... Experience building and managing data pipelines, especially for text data * Comfort working in fast ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium ...

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

Strong proficiency in Python for web scraping and automation. * Hands‑on experience with ... Exposure to AI-assisted data extraction, Product Intelligence, or Machine Learning data pipelines ...

New

CACI International, Inc.

JIATF 401 Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

  • Medical

  • Retirement

  • PTO

Conduct data mining, data scraping, and data exploitation activities to identify relevant ... Proficiency with Python for data engineering, automation, analytics, and data transformation ...

Ceartas

NY · On-site

$120 - $180/hr

  • PTO

Design and develop web scraping systems that support large-scale web data extraction and brand ... Strong Python experience * Experience with PostgreSQL or similar relational databases * Experience ...

New

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core python skills covering: Variables and Data ...

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Python Data Scraping information

What is the difference between Python Data Scraping vs Python Data Analysis?

AspectPython Data ScrapingPython Data Analysis
Primary FocusExtracting data from websites and online sourcesProcessing, interpreting, and visualizing data
Skills RequiredWeb scraping libraries (BeautifulSoup, Scrapy), Python programmingData manipulation (Pandas), statistical analysis, visualization (Matplotlib, Seaborn)
Work EnvironmentData collection, often in research or data-driven companiesData interpretation, reporting, and decision-making
Common UsageGathering data for research, market analysis, or machine learningBusiness insights, data reporting, predictive modeling

Python Data Scraping and Python Data Analysis are related but distinct roles. Data scraping focuses on extracting data from websites, while data analysis involves processing and interpreting that data. Both require Python skills but serve different stages of the data pipeline.

Is Python good for data scraping?

Python is widely used for data scraping due to its simplicity, extensive libraries like BeautifulSoup and Scrapy, and strong community support. It allows data analysts and developers to efficiently extract, process, and automate data collection tasks. Knowledge of programming and web technologies enhances effectiveness in this role.
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Python Data Scraping jobs near you
Infographic showing various Python Data Scraping job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 69% Full Time, 11% Part Time, and 18% Contract. Highlights an 75% In-person, 2% Hybrid, and 23% Remote job distribution.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Remote

$45/hr

Part-time

Re-posted 24 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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