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Web Data Scraping Jobs in California (NOW HIRING)

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

Firecrawl

Technical BDR

San Francisco, CA · On-site

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things - even if they're small. * Urgency is your default setting. You don't wait for ...

Nimbleway

Senior Solution Consultant

San Francisco, CA · On-site

$200 - $250/hr

Unlike index-based "AI search" tools or brittle legacy scraping, Nimble makes the live web ... As demand accelerates across AI, LLMs, and data-driven decisioning, we're scaling quickly and ...

VSolvit

DATA SCIENTIST I-FINANCIAL & TIME SERIES FORE

Norco, CA · On-site

$34.62 - $45.67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Familiarity with SQL, APIs, web scraping, ETL processes, or data-processing tools. * Experience completing a capstone, thesis, internship, or personal project involving forecasting or predictive ...

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). * Work closely with our engineering team to integrate and build algorithms

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

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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 Aug 16, 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:

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 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.

In-House Counsel Commercial Contracts, Data Privacy & Web Scraping Law

Talent Search PRO

Bodega Bay, CA • Hybrid

$220K - $265K/yr

Full-time

Posted 11 days ago

Job description

Salary range: $220k - $265k
Location: San Francisco, CA, Bay Area, CA
Hybrid work policy: Hybrid in San Francisco, CA (Lower Haight neighborhood, 800 Haight St). No rigid in-office policy, but 2-3 days per week in office preferred for leadership roles. Flexible as needed — people come in because they want to, not because they're forced to.
About this role

In-House Counsel Role

You'll be Firecrawl's first full-time in-house lawyer, owning legal across the business as we scale. Day to day, you'll partner with our revenue teams - redlining customer contracts, MSAs, and DPAs, and moving deals forward quickly without letting risk pile up in the wrong places. You'll also own one of the most important and least-settled areas of law in our space: how the web's data can be sourced, licensed, and served. That means real fluency in the legal landscape of web scraping and public data - crawling practices, robots.txt, terms of service, and the case law around access - and structuring agreements so risk lands where it should across copyright, data access, and privacy. It's a hybrid role: as much time with our engineers on how we source and serve data as with the commercial teams on the paper. You'll report to our Head of Finance and Legal and work closely with the founders, owning real surface area from day one.

What You'll Do

  • Structure customer contracts (MSAs and Order Forms) so risk lands in the right place across copyright, data access, and privacy — and so we can serve different types of data to different customers safely

  • Own the legal side of our partnership and content licensing deals, structuring them so risk lands in the right place

  • Become Firecrawl's expert on the web scraping and public-data legal landscape (crawling, robots.txt, ToS, access case law), and turn that expertise into a competitive advantage

  • Work directly with engineering on how we source and serve data — the technical-compliance side, not just the paperwork

  • Advise the founders and Head of Finance and Legal on risk, structure, and strategy as we scale through a Series B and beyond

  • Build the legal infrastructure — templates, playbooks, and processes — that lets a small team move fast

Who We're Looking For

  • You know the web scraping / public data legal terrain cold, or you're hungry to go deep on it fast

  • You're as comfortable in a conversation with engineers about how data flows as you are redlining a contract

  • You can structure a deal so the risk sits where it should, across copyright, data access, and privacy

  • You're comfortable being the only lawyer in the room and making the call

  • You translate legal complexity into clear, practical guidance for a fast-moving team

Who We're NOT Looking For

  • Someone who needs a large legal department around them

  • Someone who defaults to "no" instead of finding the path to "yes, and here's how"

  • Someone who wants to stay on the contract and never touch the technical reality underneath it

  • Someone uncomfortable with novel, unsettled areas of law