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Scraping Jobs in California (NOW HIRING)

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 ...

... 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 ...

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

Discuss and give requirements for new schema changes (new fields, scraping requirements, image scraping, etc.). * Surface and resolve data quality issues with the source data (missing scrapes, schema ...

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

Your primary focus will be developing, maintaining and supporting our novel in-house scraping automation engine. Our ideal candidate is one that can take up the challenge of maintaining Dapi ...

Your primary focus will be developing, maintaining and supporting our novel in-house scraping automation engine. Our ideal candidate is one that can take up the challenge of maintaining Dapi ...

Performs heavy scraping of the interior and exterior of light and heavy duty dumpster containers. * Performs washing of the interior and exterior of light and heavy duty dumpster containers.

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...

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Scraping information

See California salary details

$29.4K

$68.6K

$142.5K

How much do scraping jobs pay per year?

As of Jul 6, 2026, the average yearly pay for scraping in California is $68,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,554.00 and $76,379.00 per year, depending on experience, location, and employer.

Does scraping make money?

Scraping as a job involves extracting data from websites, which can be profitable if the data is valuable and sold or used for business insights. Successful scrapers often require technical skills in programming and data handling. Earnings depend on the industry, data demand, and the legality of the scraping activities.

What is job scraping?

Job scraping is the process of automatically extracting job listing data from websites using tools like web crawlers or scripts. It requires knowledge of programming languages such as Python and familiarity with web structures and APIs. This technique is often used for market analysis, aggregating job postings, or competitive intelligence.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is a scraping job description?

A scraping job involves writing scripts or using tools to extract data from websites or online sources. It requires knowledge of programming languages like Python or JavaScript, and understanding of web structures and APIs to automate data collection efficiently.

Is job scraping legal?

Job scraping involves extracting data from websites, which can be legal if done in compliance with the site's terms of service and applicable laws. However, unauthorized scraping that violates copyright, data privacy, or usage policies may lead to legal consequences. It is important for professionals in this field to understand legal boundaries and use ethical scraping practices, such as respecting robots.txt files and avoiding excessive server requests.
What are popular job titles related to Scraping jobs in California? For Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Scraping jobs in California look for? The top searched job categories for Scraping jobs in California are:
What cities in California are hiring for Scraping jobs? Cities in California with the most Scraping job openings:
Infographic showing various Scraping job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,623 per year, or $33 per hour.

Data Engineer, Web Scraping

10a Labs

San Francisco, CA • Remote

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.

In this role, you will:

  • Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
  • 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 masking;
  • Contribute to the development of internal and external APIs, following best practices; 
  • Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
  • Drive other critical initiatives. 

Requirements:

  • Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
  • 2+ years of professional experience in data engineering or a closely related field
  • Ability to communicate complex technical ideas clearly to non-technical audiences
  • Proficiency in Python, SQL
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
  • Experience building and managing data pipelines, especially for text data
  • Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

  • Salary Range: $105K–$125K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan