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Python Scraping Jobs in California (NOW HIRING)

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 ...

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 ...

Jobtailor

Senior Software Engineer

Monterey Park, CA · On-site

$140 - $175/hr

Technology Stack: Python, React, Javascript, SQL Requirements * Bachelor's degree in Computer ... scraping and other automation scripting, ETL and data pipelines, data science, machine learning

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

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All JobsPython Scraping JobsPython Scraping Jobs in California

Python Scraping information

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$13

$57

$85

How much do python scraping jobs pay per hour?

As of Aug 27, 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 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 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 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 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 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 August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Automation Engineer - Worlwide Remote

Invisible Technologies

San Francisco, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Company Description

Invisible Technologies offers unusual services (a combination of outsourcing and automation) to fast-scaling, innovative companies. Each company understands and uses our services in a variety of ways. It's critical we can communicate to segments of users with visually appealing, and highly communicative assets. You're helping us explain the benefits of our product in a way that words alone never could. 

Job Description

Job Responsibilities:

Create crawlers for each source URL by using Python modules [scrapy, selenium, requests, BeautifulSoup and splash]

Create and maintain scrapy pipelines and middlewares to manage the output from the crawlers.

Create crawlers for all types of websites irrespective of the technical roadblocks.

Manage the crawlers to overcome technical challenges like IP ban, geolocation ban, captcha and bot blocking services.

Write SQL queries to manage database operations using Python modules like sqlalchemyDeploy the python scripts / crawlers to Linux based AWS servers

SkillsMust Haves:

Strong hands-on experience in Python programming

Good experience with scraping libraries such as Requests, BeautifulSoup, Selenium and Scrapy.

Proven 3+ experience working on web development frameworks such as Flask/Django/FastAPI/Tornado/PandasKnowledge of building APIs and services using REST.

Experience with any RDBMS and strong SQL knowledge.

Clear with Object-oriented concepts.

Excellent troubleshooting skills.

Proficient understanding of code versioning tools like git.

Basic understanding of front-end technologies, such as JavaScript, HTML5 and CSS3Understanding of fundamental design principles behind a scalable application.

Nice to have:

Familiar with UI frameworks like Angular/ReactJS

Strong unit test and debugging skills.

Strong knowledge of data engineering platforms such as Airflow.

Experience with the Google CloudDockerAgile and Scrum. Even better if have worked in Jira and confluence.

Experience with ETLCeleryExcellent interpersonal skills and ability to to work with a diverse team

Qualifications

Required: Technical Skills

  • Python
  • JavaScript
  • PostgresSQL
  • Web Scraping using Requests, BeautifulSoup, Selenium and Scrapy
  • Frameworks such as Flask/Django/FastAPI/Tornado/Pandas
  • Building APIs and services using REST
Additional Information

https://jobs.lever.co/invisible/e3f21175-7605-4b30-8790-5ddbd97ab3b5

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