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Web Data Scraping Jobs in California (NOW HIRING)

Tastelabs

AI Engineer (Back-end)

San Francisco, CA · On-site

$110 - $140/hr

Build crawling and scraping systems for visual data across the web * Set up inference serving and APIs for client‑facing products * Manage security sweeps vulnerability mapping * Develop the ...

Taste Labs

AI Engineer (Back-end)

San Francisco, CA · On-site

$100 - $130/hr

Build crawling and scraping systems for visual data across the web * Set up inference serving and APIs for client‑facing products * Manage security sweeps vulnerability mapping * Develop the ...

Solomon Page

SEO Data Analyst

West Hollywood, CA · On-site

$55/hr

We are hiring an SEO Data Analyst, Streaming to join a top entertainment company in Los Angeles, CA ... Experience working with web crawling, scraping tools, and automation workflows * Strong analytical ...

MrScraper

Growth GTM

San Francisco, CA · On-site

$125K - $250K/yr

Our mission is to make web scraping smarter, faster, and more scalable using AI. We combine the power of modern large language models (LLMs) and automation to tackle complex data problems for real ...

New

Adapt API

Software Engineer

San Francisco, CA · On-site

$180 - $260/hr

Experience with web scraping, email scraping, browser automation -- in general just getting data creatively out of hard-to-reach places * TypeScript/JavaScript experience in a professional or large ...

Adapt API

Software Engineer

San Francisco, CA

Experience with web scraping, email scraping, browser automation -- in general just getting data creatively out of hard-to-reach places * TypeScript/JavaScript experience in a professional or large ...

Adapt Insurance

Software Engineer

San Francisco, CA · On-site

$120 - $160/hr

Experience with web scraping, email scraping, browser automation -- in general just getting data creatively out of hard-to-reach places * TypeScript/JavaScript experience in a professional or large ...

Nimble

Growth Customer Success Manager

San Francisco, CA · On-site

$100/hr

... 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 ...

Icehouseventures

Founding Engineer

San Francisco, CA · On-site

$120 - $160/hr

... web scraping at scale * Familiarity with accessibility tree / DOM parsing for page understanding * Background in RL or online learning from user interaction data * Experience with vector databases (e ...

Tastelabs

AI Engineer (Full-stack)

San Francisco, CA · On-site

$100 - $130/hr

Build crawling and scraping systems for visual data across the web * Set up inference serving and APIs for client‑facing products * Develop the tooling and infrastructure that makes everything ...

Firecrawl

Cloud DevOps Engineer

San Francisco, CA · On-site

$246K - $271K/yr

Cloud DevOps Engineer You'll build the cloud infrastructure that turns the open web into data - the platform beneath Firecrawl's crawling, scraping, and search products. We need engineers who can ...

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All JobsWeb Data Scraping JobsWeb Data Scraping Jobs in California

Web Data Scraping information

See California salary details

$10

$31

$67

How much do web data scraping jobs pay per hour?

As of Sep 6, 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 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 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 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 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 the most commonly searched types of Web Data Scraping jobs in California?

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

What are popular job titles related to Web Data Scraping jobs in California?

For Web Data Scraping jobs in California, the most frequently searched job titles are:

What job categories do people searching Web Data Scraping jobs in California look for?

The top searched job categories for Web Data Scraping jobs in California are:

Web Data Scraping jobs near you
Infographic showing various Web Data Scraping job openings in California as of August 2026, with employment types broken down into 5% Internship, 72% Full Time, 16% Part Time, and 7% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.

AI Engineer (Back-end)

Tastelabs

San Francisco, CA • On-site

$110 - $140/hr

Other

Posted 19 days ago

Job description

About the company

Taste Labs is building the data and infrastructure layer for taste. Our goal is to end AI slop. To make AI feel right, not just be correct. We raised $18.5M in seed co‑led by Amplify and CRV, and most frontier labs are already customers. AI has nailed objective domains and can generate anything. The hard part left is judgement: what fits, what feels like you, what's actually GREAT. We're turning that into something measurable, starting with design. We do it on two sides: building the post‑training data and RL environments that teach taste to frontier models, and the context and verification tools agents need to produce work that’s more creative, more on‑brand, more right. If that problem excites you, you'll like it here!

About the role

You'll build the AI systems that power taste agent harnesses, memory, evals, tooling, data collection, index, search, graph, crawling, scraping, security and more.

Types of problems you’d work on
  • Craft agent harnesses, memory and self‑improvement loops
  • Design evaluation pipelines and synthetic data generation
  • Create embedding and retrieval infrastructure that scales to millions of requests
  • Build crawling and scraping systems for visual data across the web
  • Set up inference serving and APIs for client‑facing products
  • Manage security sweeps vulnerability mapping
  • Develop the tooling and infrastructure that makes everything reliable and fast
What matters to us
  • Deeply technical: you’re deeply opinionated about what good code means, you have an AI‑forward setup while being anti‑slop, you care deeply about the craft.
  • You’re creative and have genuine curiosity about ‘taste’ and making subjective domains verifiable.
  • You have startup DNA: you move fast, adapt, no such thing as ‘not in scope’, you like ambiguous, hard problems.
  • AI experience: you need experience building AI‑forward products, systems, agents, models and more.
  • You care about arriving at the simple, clear solution vs. the complex one.
Bonus points
  • Open source contributions or personal projects that show you build things because you're curious.
  • Background at creative companies (Figma, Notion, Canva, Adobe, Runway, etc.) or companies with strong index building/crawling (e.g. Firecrawl, Brave, Luma, Pika) or data (Mercor, Surge, etc.).
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