ZipRecruiter

Log In

2

Work From Home Web Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

... data from diverse sources. A methodical, detail-oriented approach and the ability to work ... Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic ...

next page

Showing results 1-20

All Jobsremote JobsWork From Home Web Scraping Jobs

Work From Home Web Scraping information

See salary details

$11

$59

$86

How much do work from home web scraping jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for work from home web scraping 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 a work from home web scraping job?

A Work From Home Web Scraping job involves collecting data from websites using automated tools or scripts, often written in programming languages like Python. People in this role extract information such as prices, contact details, or product listings for businesses or research purposes without needing to be physically present in an office. The job requires strong technical skills, attention to detail, and adherence to legal and ethical guidelines regarding data collection. Working remotely, individuals can complete tasks independently and communicate with clients or employers online.

What are the key skills and qualifications needed to thrive as a work from home web scraping specialist, and why are they important?

To thrive as a Work From Home Web Scraping Specialist, you need strong programming skills (especially in Python), experience with data extraction, and a good understanding of web technologies and protocols. Familiarity with tools like BeautifulSoup, Scrapy, Selenium, and knowledge of APIs or browser automation is typically required. Attention to detail, problem-solving skills, and the ability to work independently are important soft skills for this role. These competencies ensure accurate, efficient data gathering while navigating dynamic web environments and adhering to legal or ethical guidelines.

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

Remote web scraping professionals often encounter challenges such as website structure changes, anti-scraping measures like CAPTCHAs, and managing large volumes of data efficiently. Staying updated with the latest tools, using robust libraries, and implementing adaptive scraping techniques can help overcome these obstacles. Additionally, communicating regularly with clients or team members is crucial to clarify requirements and address issues promptly, ensuring project goals are met while working independently.

What is the difference between Work From Home Web Scraping vs Data Entry Specialist?

AspectWork From Home Web ScrapingData Entry Specialist
Required skillsProgramming, data extraction, web technologiesTyping, data input, basic computer skills
Work environmentRemote, computer-basedRemote or office-based, computer-based
Common industriesTech, marketing, researchAdmin, healthcare, finance
CertificationsBasic coding or data extraction coursesNone typically required

Work From Home Web Scraping involves extracting data from websites using programming skills, often in tech or research industries. Data Entry Specialists focus on inputting data accurately, usually with basic computer skills. While both roles are remote and involve working with data, web scraping requires technical knowledge, whereas data entry emphasizes speed and accuracy in data input.

What cities are hiring for Work From Home Web Scraping jobs?

Cities with the most Work From Home Web Scraping job openings:

What states have the most Work From Home Web Scraping jobs?

States with the most job openings for Work From Home Web Scraping jobs include:

What job categories do people searching Work From Home Web Scraping jobs look for?

The top searched job categories for Work From Home Web Scraping jobs are:

Work From Home Web Scraping jobs near you
Infographic showing various Work From Home Web Scraping job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Re-posted 12 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.

Apply