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Web Data Scraping Jobs in California (NOW HIRING)

Integration Engineer

Oakland, CA · On-site

$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.

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.

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

Staff Engineer

San Francisco, CA · On-site

$250K - $300K/yr

Design, build, and operate core infrastructure powering a people-data and AI agent platform -- including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph ...

New

Staff Engineer

San Francisco, CA · On-site

$250K - $300K/yr

Design, build, and operate core infrastructure powering a people-data and AI agent platform - including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture.

New

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

... data, image scraping, RV scraping). * Drive harmonization discussions to align geo data to WW standards, and analyze web scraped data to make sense of it and determine appropriate harmonization ...

Experience in some of the following: full‑stack web application development, developing and designing large software systems, web scraping and other automation scripting, ETL and data pipelines ...

... web into governed, decision-grade data for AI systems and high-stakes business use. Unlike index-based "AI search" tools or brittle legacy scraping, Nimble makes the live web queryable on demand ...

... web crawler and scraper approaches, structured extraction workflows, and other internal data ... and scraping approaches, including structured content extraction, normalization, and change ...

Showing results 21-40

Web Data Scraping information

See California salary details

$10

$31

$67

How much do web data scraping jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for web data scraping in California is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $41.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a web data scraping specialist?

To thrive as a Web Data Scraping Specialist, you need strong programming skills (especially in Python), knowledge of web protocols, and familiarity with HTML, CSS, and JavaScript. Experience with tools like BeautifulSoup, Scrapy, Selenium, and understanding of APIs and data storage solutions are typically required. Problem-solving, attention to detail, and persistence are crucial soft skills for overcoming challenges like anti-scraping measures and complex site structures. These competencies ensure efficient, reliable extraction of valuable data while maintaining compliance and accuracy.

What is web data scraping?

Web data scraping is the process of automatically extracting information from websites using software tools or scripts. This technique allows users to collect large amounts of structured data from web pages, which can then be analyzed or used for various purposes such as market research, price monitoring, or content aggregation. Web data scraping is commonly used in industries that rely on real-time information and competitive analysis. However, it is important to respect website terms of service and copyright laws when scraping data.

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

AspectWeb Data ScrapingData Analyst
Primary RoleExtracting data from websites automaticallyInterpreting and analyzing data to inform business decisions
Skills RequiredProgramming, web technologies, data extraction toolsStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTechnical, often in IT or data teamsBusiness, finance, marketing departments
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, Tableau, R, SQL

Web Data Scraping focuses on automatically collecting data from websites using programming tools, while Data Analysts interpret and analyze data to support business strategies. Both roles require data handling skills but differ in technical focus and end goals.

What are some common challenges faced in a web data scraping role and how can they be addressed?

One common challenge in web data scraping is dealing with websites that use anti-bot measures, such as CAPTCHAs and frequent layout changes. Adapting to these obstacles often requires creative problem-solving, such as implementing rotating proxies or using headless browsers to mimic human behavior. Additionally, maintaining data accuracy and handling large volumes of unstructured data are ongoing tasks, making strong organizational and scripting skills essential. Collaborating with data analysts and developers is also key to ensuring the scraped data meets project needs and quality standards.

What are the most commonly searched types of Web Data Scraping jobs in California?

The most popular types of Web Data Scraping jobs in California are:

Infographic showing various Web Data Scraping job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.

Researcher, AI/ML III

Cohesive Technologies

Mountain View, CA • On-site

Other

Re-posted 8 days ago


Job description

Cohesive Technologies is a global IT Services & Solutions company providing IT Staffing Services and Application Development Services necessary for technology leaders to deliver business value. We help our people and clients succeed by leveraging our expertise, deep industry and market knowledge, proprietary assessment tools and techniques, and project delivery methodologies. Through relationships with thousands of specialized professionals, we bring an unparalleled ability to match talent with opportunities by assessing, recruiting, developing and engaging the best and brightest people for our clients. We combine broad geographic presence, world-class solutions and a tailored, consultative approach to help our people and clients achieve higher performance and outstanding results.

Job Title:- Researcher, AI/ML III

Number of Positions:1

Work Location: Mountain View, CA, 645 Clyde Avenue, A_US_012

Duties:

  • Come join the Client Web Platform team and help us define and develop Web AI Agents that can perform complex, multi-step autonomous tasks.

  • The Web Platform Team is a group of Software Engineers researching and evolving the Web Platform and Web Standards and novel ways to use web content.

Responsibilities:

  • Create quick prototypes and proof-of-concepts

  • Contribute to the research activities of our team

  • Generate creative solutions (patents) and design, develop, and evaluate AI/ML based solutions for Samsung services

Skills:

  • Practical experience with web scraping and AI-Agent projects, preferably with a focus on natural language processing, accessibility and interaction on the web.

  • Understanding of HTML, CSS, and DOM is necessary for navigating and extracting data from web pages.

  • Familiarity with web scraping frameworks like Puppeteer or similar framework - On device AI model optimization and quantization

Desired Skills & Experience:

  • Experience in Reinforcement Learning is a plus

  • Experience with integrating large language models (LLM), finetuning on LLM/VLLM, self-hosting LLMs and on-device (edge) LLM is a plus

  • ML model deployment and inferencing in Android OS

  • Demonstrated market understanding of Web AI agents with Gemini 2.0, Anthropic Computer Use or OpenAI Operator

  • First- or co-authored publications on AI-Agent at leading workshops or conferences

  • Preferred 2-5 years of industry experience

Education:

  • Master's/PhD degree in Computer Science or a relevant field.

Cohesive Technologies is an equal access/equal opportunity employer and does not discriminate on the basis of age, color, disability, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other classification prescribed by applicable law.