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Data Scraping Remote Jobs in California (NOW HIRING)

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Data Scraping Remote information

What are the key skills and qualifications needed to thrive as a Data Scraping Remote specialist, and why are they important?

To thrive as a Data Scraping Remote specialist, you need strong programming skills in languages like Python, proficiency in web protocols, and experience with data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and knowledge of APIs is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting requirements and ensuring data integrity. These skills and qualities are vital for efficiently gathering accurate data while navigating the technical and ethical challenges of remote web scraping projects.

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

Remote data scraping professionals often encounter challenges such as dealing with anti-scraping mechanisms (like CAPTCHAs or frequent site structure changes), ensuring data accuracy, and managing large-scale data extraction efficiently. Effective solutions include using rotating proxies, headless browsers, and robust error-handling strategies. Additionally, maintaining open communication with your remote team and staying updated on legal and ethical guidelines for data collection are crucial for long-term success in this role.

What is the difference between Data Scraping Remote vs Data Analyst?

AspectData Scraping RemoteData Analyst
Required SkillsWeb scraping, programming (Python, SQL), data extractionData interpretation, statistical analysis, visualization
Work EnvironmentRemote, independent, project-basedRemote or on-site, team collaboration
Industry UsageData collection, research, lead generationBusiness insights, reporting, decision-making
CertificationsBasic programming, data handlingStatistics, data analysis tools (Excel, Tableau)

Data Scraping Remote focuses on extracting data from websites using programming skills, often working independently. Data Analysts interpret and analyze data to provide insights, typically requiring statistical knowledge. While both roles may be remote, their core skills and industry applications differ significantly, making them distinct career paths.

What is a Data Scraping Remote job?

A Data Scraping Remote job involves extracting large amounts of data from websites or online sources using automated tools or scripts, all while working from a remote location. Professionals in this role often use programming languages like Python and tools such as BeautifulSoup, Scrapy, or Selenium to gather and structure data for analysis or business use. The work may include identifying relevant data sources, handling anti-scraping measures, and ensuring compliance with legal guidelines. Data scraping specialists typically collaborate with data analysts or engineers to provide clean, organized datasets that support decision-making or business operations. Remote positions offer flexibility, allowing professionals to work from anywhere with a reliable internet connection.
What are the most commonly searched types of Data Scraping jobs in California? The most popular types of Data Scraping jobs in California are:
What job categories do people searching Data Scraping Remote jobs in California look for? The top searched job categories for Data Scraping Remote jobs in California are:
What cities in California are hiring for Data Scraping Remote jobs? Cities in California with the most Data Scraping Remote job openings:
Infographic showing various Data Scraping Remote job openings in California as of July 2026, with employment types broken down into 52% Full Time, 31% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings

Braintrust

San Francisco, CA • Remote

$25 - $45/hr

Part-time

Posted yesterday

New


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

Open to candidates in the North America, South America, Asia and Europe.
Mindrift (Toloka) is looking for highly skilled Senior Python Data Scraping Engineers.

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.

As a Senior 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.

Requirements:

  • 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.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are 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)
  • 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 Details
  • Long-term project with an expected duration of at least 3–4 months, with the potential for extension based on project needs and performance.
  • Candidates should be available for a minimum of 20 hours per week. Availability of 30–40 hours per week is highly preferred.
  • This opportunity is best suited for developers looking for ongoing, meaningful project work rather than short-term or occasional tasks.
  • Work will be completed remotely and asynchronously, with access to project support and community channels.
Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

  1. App review and invitation to a virtual project introduction session (approximately 30 minutes)
  2. Platform registration and identity verification
  3. Technical assessment (approximately 35 minutes)
  4. Background check (completed at no cost to candidates)
  5. Onboarding and project-specific training tasks
  6. Begin production work!
Additional Requirements
  • Willingness to complete identity verification as part of the onboarding process.
  • Ability to complete a technical assessment.
  • Willingness to join and participate in Discord, which will be used for project communication and updates.
  • Successful completion of a background check is required prior to onboarding.
  • Reliable internet connection and ability to communicate effectively in a remote environment.
What Makes This Opportunity Unique
  • Opportunity to contribute to cutting-edge AI initiatives alongside a large global network of technical experts.
  • Potential for significant weekly engagement for candidates with strong availability.
  • Structured onboarding process with dedicated support and project guidance.
  • Opportunity to participate in a project expected to scale substantially over the coming months.