ZipRecruiter

Log In

1

Python Scraping Jobs in California (NOW HIRING)

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

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. Your presence at our ...

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

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. Your presence at our ...

QuinStreet

Senior AI Engineer

Foster City, CA · On-site

$121K - $167K/yr

... scraping, with a clear mandate: deliver a production-grade system that detects compliance ... Requirements * Production backend Python experience, including async patterns, type hints ...

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... Python and Scala * With Spark and Machine Learning (3+) * Data mining, Data analysis Roles and Responsibilities: * Gather and process raw data at scale (including writing scripts, web scraping ...

SS&C Technologies

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : 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 ...

SS&C

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

Python Proficiency : 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 ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis Data ... scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to ...

next page

Showing results 1-20

All JobsPython Scraping JobsPython Scraping Jobs in California

Python Scraping information

See California salary details

$13

$57

$85

How much do python scraping jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for python scraping in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are some common challenges faced by Python Scraping professionals, and how can they be addressed?

Python Scraping professionals often encounter obstacles such as website anti-scraping measures, dynamic content loading with JavaScript, and frequent changes in website structures. Overcoming these challenges typically involves using tools like Selenium or Playwright for dynamic pages, rotating proxies and user agents to avoid detection, and writing adaptable, modular code to quickly update scrapers when site layouts change. Staying up to date with the latest libraries and best practices is vital for efficiency and compliance with legal and ethical standards.

What are the key skills and qualifications needed to thrive as a Python Scraping Specialist, and why are they important?

To thrive as a Python Scraping Specialist, you need strong proficiency in Python programming, understanding of web protocols (HTTP, HTML, CSS), and experience with libraries such as BeautifulSoup, Scrapy, or Selenium. Familiarity with version control systems like Git and knowledge of data storage formats (JSON, CSV, SQL) are also commonly required. Problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure efficient data extraction, compliance with website policies, and the ability to deliver actionable insights from web data.

What is the difference between Python Scraping vs Data Analyst?

AspectPython ScrapingData Analyst
Required SkillsPython programming, web scraping libraries (BeautifulSoup, Scrapy)Data analysis, SQL, Excel, statistical skills
Work EnvironmentTechnical, coding-focused, often remoteBusiness-focused, reporting, presentations
Industry UsageWeb data extraction, research projectsBusiness insights, decision-making
CertificationsPython certifications, web scraping coursesData analysis certifications (e.g., CAP, Microsoft Certified)

Python Scraping involves writing code to extract data from websites, focusing on programming skills and technical tools. Data Analysts interpret and visualize data for business insights, requiring analytical and statistical skills. While both roles work with data, Python Scraping is more technical and coding-intensive, whereas Data Analysts focus on analyzing and presenting data for decision-making.

What is Python scraping?

Python scraping refers to the process of using the Python programming language to extract data from websites or online sources. It typically involves sending HTTP requests to webpages, parsing the HTML or other content, and collecting specific information for analysis or storage. Popular Python libraries for web scraping include BeautifulSoup, Scrapy, and Requests. This technique is widely used in data analysis, research, and business intelligence, but it's important to respect website terms of service and legal guidelines when scraping data.
What are popular job titles related to Python Scraping jobs in California? For Python Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Scraping jobs in California look for? The top searched job categories for Python Scraping jobs in California are:
What cities in California are hiring for Python Scraping jobs? Cities in California with the most Python Scraping job openings:
Python Scraping jobs near you
Infographic showing various Python Scraping job openings in California as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Data Engineer, Anti Scraping, Third Party Data Operations

Data Engineer, Anti Scraping, Third Party Data Operations

Google

Mountain View, CA • On-site

$135K - $162K/yr

Full-time

Posted yesterday

New

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience designing, building, and managing production-grade ETL pipelines.
  • Experience writing readable, structured code (e.g., Python, Java) and applying AI/ML libraries/frameworks (e.g., TensorFlow, Vertex AI) within data systems.
  • Experience applying AI/ML techniques to anti-abuse, security, or fraud detection.

Preferred qualifications:
  • Experience with AI to drive automation for data pipelines and data quality.
  • Experience with data logging, monitoring, and analysis tools.
  • Familiarity with distributed systems.
  • Understanding of bot detection techniques and adversarial machine learning.
  • Ability to manage project timelines and deliverables effectively.
  • Excellent stakeholder engagement skills, with experience working with both internal teams and external vendors.

About the job
In this role, you will support the GASP team which builds technology to protect Geo assets at scale. As a Data Engineer, you will build and manage data pipelines to ensure data sources can be consumed by the Geo Anti-Scraping Program (GASP) for abuse and scraping detection, monitoring and measurement.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $227000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Architect, build, and maintain data pipelines to ingest, process, and transform logs and signals from various Geo services for scraping detection and analysis.
  • Implement and manage data quality frameworks, leveraging AI and automation to enhance data ingestion, ensure data integrity, and improve the accuracy of anti-scraping models and analytics.
  • Develop and maintain curated datasets, reports, queries, and dashboards to support client users in understanding and mitigating scraping threats.
  • Drive the creation of automated solutions and self-service tools to accelerate data-driven decision-making and improve the efficiency of anti-scraping operations and partner care experiences.
  • Provide operational support for anti-scraping data systems, including performance monitoring, post-launch issue resolution, proactive planning for dependency changes and system migrations, while defining and driving the long-term technical goal and roadmap for a scalable, resilient, and cost-effective anti-scraping data infrastructure for Google Maps.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply