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Python Scraping Jobs in Texas (NOW HIRING)

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Gen AI Lead

Dallas, TX · On-site

$138.50K - $170.10K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role ... Scraping * Data & Engineering - SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data ...

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Python, Kafka Common data archetypes, writing and coding functions, algorithms, logic development ... This includes having knowledge of scraping, application program interfaces, databases, and publicly ...

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Data Engineer - Fundamentals

Spring, TX · On-site

$101.90K - $122.40K/yr

... scraping, and automation scripting • Expert-level experience with cloud data platforms (Snowflake preferred), Python/Pandas, SQL, and orchestration tools (Airflow, dbt) • Proven ability to work ...

Experience scraping sites and building databases. * Is comfortable using Python, R or similar tools to clean, analyze and present data. * Comfort with data visualization tools such as Datawrapper or ...

... scraping, internal systems, unstructured data) through to deployment of production models • ... Python/R, SQL, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and cloud computing ...

Data Engineer - Fundamentals

Spring, TX · On-site

$105.40K - $126.60K/yr

... scraping, and automation scripting * Expert-level experience with cloud data platforms (Snowflake preferred), Python/Pandas, SQL, and orchestration tools (Airflow, dbt) * Proven ability to work ...

Data Engineer - Fundamentals

Spring, TX · On-site

$105.40K - $126.60K/yr

... scraping, and automation scripting * Expert-level experience with cloud data platforms (Snowflake preferred), Python/Pandas, SQL, and orchestration tools (Airflow, dbt) * Proven ability to work ...

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Python Scraping information

See Texas salary details

$12

$54

$80

How much do python scraping jobs pay per hour?

As of May 29, 2026, the average hourly pay for python scraping in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Python Scraping jobs in Texas look for? The top searched job categories for Python Scraping jobs in Texas are:

Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Posted 26 days ago


Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:
  • Write modular, reusable components to liaise between external sources of data, internal tools and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol's Python development community and act as a liaison for our growing business development efforts

Qualifications
  • 7+ years of enterprise-level coding experience with Python
  • Computer Science, MIS or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understating of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week
Additional Information
Work Environment
  • This job operates in a professional office environment. Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.

All your information will be kept confidential according to EEO guidelines.