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Web Data Scraping Jobs in California (NOW HIRING)

Firecrawl

In-House Counsel

San Francisco, CA · On-site

$225K - $265K/yr

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 ...

Comtech, LLC

Data Engineer

San Jose, CA

$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

Momento USA LLC

Extract and integrate data from various sources, such as databases, APIs, web scraping, etc. * Communicate findings and recommendations to stakeholders using clear and concise language and visuals.

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 ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$134K - $161K/yr

... web scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis - and then ...

Dascena

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.

Dascena

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.

Clera

Founding TypeScript 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 ...

SS

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

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Web Data Scraping information

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$10

$31

$67

How much do web data scraping jobs pay per hour?

As of Jul 26, 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, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.

Remote Data Engineer: Web Scraping & Data Pipelines

10a Labs

San Francisco, CA • Remote

$105K - $125K/yr

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

10a Labs is seeking a Data Engineer to design and optimize end-to-end data pipelines and conduct web scraping for research support. The ideal candidate will have a background in Computer Science and at least 2 years of experience in data engineering, alongside proficiency in Python and SQL. This fully remote position offers a competitive salary range of $105K–$125K, performance-based bonuses, comprehensive health benefits, generous PTO, and support for professional development. #J-18808-Ljbffr

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