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Web Scraping Jobs in Illinois (NOW HIRING)

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate ...

Varsity Tutors

Python Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Normal, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Evanston, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Web Scraping information

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$11

$57

$83

How much do web scraping jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for web scraping in Illinois is $57.18, according to ZipRecruiter salary data. Most workers in this role earn between $49.62 and $64.76 per hour, depending on experience, location, and employer.

What is web scraping?

Web scraping is the automated process of extracting data from websites. It involves using software tools or scripts to collect information from web pages, which can then be saved and analyzed for various purposes. Web scraping is commonly used for market research, price monitoring, data aggregation, and academic research. However, it's important to respect website terms of service and legal considerations when scraping data.

What are web scraping jobs?

Web scraping jobs involve using specialized software and web crawling tools to extract data from websites. This data is extracted for competitor analysis, market trends, pricing research, and other information that can help businesses improve their performance. As a data engineer, your responsibilities are to understand and use these tools or use manual techniques to collect information. Your duties also include creating or troubleshooting web scraping tools, analyzing the data you obtain, and passing the information on to the appropriate leaders of a company. You can find these positions with technology companies that offer web scraping services to clients.

What are the key skills and qualifications needed to thrive as a web scraping specialist, and why are they important?

To thrive as a Web Scraping Specialist, you need strong programming skills in languages like Python, knowledge of HTML/CSS, and an understanding of data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and sometimes APIs or browser automation is typically required. Attention to detail, problem-solving, and ethical judgment are important soft skills that help navigate complex data sources and legal considerations. These skills ensure efficient, accurate, and compliant collection of large-scale data critical for analytics and business intelligence.

What are some common challenges faced by web scraping professionals, and how are they typically addressed?

Web scraping professionals often encounter challenges such as dealing with websites that use dynamic content loading, anti-scraping measures like CAPTCHAs, or frequent changes to site structure. To overcome these, they may use headless browsers, rotating proxies, and advanced parsing techniques to mimic human behavior and adapt quickly to site updates. Collaborating with legal and compliance teams is also important to ensure all data collection respects relevant laws and website terms of service.

What is the difference between Web Scraping vs Data Analyst?

AspectWeb ScrapingData Analyst
Required SkillsProgramming, data extraction, scriptingData interpretation, statistical analysis, visualization
Work EnvironmentTechnical, often remote, involves codingOffice or remote, involves analysis and reporting
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, SQL, Tableau, R
Industry UsageData collection for research, marketing, SEOBusiness insights, reporting, decision-making

Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and analyze data to generate insights. Both roles require analytical thinking but differ in technical focus and end goals.

More about Web Scraping jobs

What are the most commonly searched types of Web Scraping jobs in Illinois?

The most popular types of Web Scraping jobs in Illinois are:

What are popular job titles related to Web Scraping jobs in Illinois?

For Web Scraping jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Web Scraping jobs in Illinois look for?

The top searched job categories for Web Scraping jobs in Illinois are:

What cities in Illinois are hiring for Web Scraping jobs?

Cities in Illinois with the most Web Scraping job openings:

Web Scraping jobs near you
Infographic showing various Web Scraping job openings in Illinois as of August 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $118,934 per year, or $57.2 per hour.

Python AI Engineer (Local to Chicago Only)

Solution Partners, Inc.

Chicago, IL • On-site

Other

Re-posted 2 days ago

Job description

We are only considering candidates based in Chicago. First interview will be on site in the Chicago office with a technical assessment. Please do not apply if this first phase is not possible.

We are looking for an AI Engineer to design, develop, and deploy an intelligent, multilingual chatbot that helps users track their parcels seamlessly. The chatbot will integrate with Snowflake for data retrieval, leverage APIs or web scraping to fetch tracking updates from external systems and run as a containerized solution on Azure. We are seeking to hire an engineer who is passionate about building scalable, AI-powered applications. You’ll work at the intersection of backend development and AI integration, leveraging modern tools like LLMs, MongoDB, Docker, and best coding practices. You’ll be responsible for writing clean, efficient, and maintainable code while working closely product teams to deploy intelligent systems. We need a proactive, self-motivated leader who thrives in a dynamic environment.

Key Responsibilities

  • Design, develop, and maintain an AI-powered chatbot capable of handling multi-lingual conversations.
  • Implement Retrieval-Augmented Generation (RAG) workflows to improve response accuracy and reduce unnecessary LLM calls
  • Integrate AI and LLM tools (e.g., OpenAI, LangChain, Hugging Face) into real-world applications
  • Integrate chatbot with Snowflake to fetch tracking data using tracking IDs.
  • Develop web scraping and API connectors to external parcel tracking systems
  • Deploy and manage chatbot services on Azure using Docker containers.
  • Implement vector databases (e.g., Pinecone, FAISS, Chroma) for efficient context management and response caching.
  • Ensure code quality through best practices: clean code, testing, and code reviews.

Must-Have Skills

  • Programming: Strong proficiency in Python and relevant libraries (e.g., LangChain, FastAPI, BeautifulSoup, Requests
  • AI Tools & Frameworks: Experience with OpenAI, Hugging Face, or similar AI APIs
  • RAG Implementation: Hands-on experience integrating LLMs with vector databases and retrieval pipelines
  • NLP: Strong understanding of prompt design, token usage, embeddings, and language model
  • Data Integration: Experience connecting with Snowflake or similar dataware houses.
  • Deployment: Knowledge of Docker and Azure container deployments.
  • Web Scraping & APIs: Experience building scrapers or integrating with third-party APIs
  • Version Control: Familiarity with Git and CI/CD pipelines
  • Strong communication skills — able to explain complex AI concepts in simple terms
  • Collaborative attitude and openness to feedback

Nice-to-Have Skills

  • Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Exposure to multi-lingual NLP models or translation APIs

Apply