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Scraping Jobs in Illinois (NOW HIRING)

Macpower Digital Assets Edge

Material Handler

Morrison, IL · On-site

$16 - $19.25/hr

Maintains the finishing screens by scraping them to insure the product flows through it. * Performs housekeeping duties to insure the material does not accumulate under the conveyors, aisle ways and ...

Nu Again Deck and Fence Renewal

Painter

Batavia, IL · On-site

$19 - $21/hr

Prepare surfaces for painting by washing, scraping, sanding, or by other means necessary * Use caulk, putty, cement, or plaster to repair holes and cracks * Perform daily maintenance routines on ...

Jones Cleaning & Remodeling

Painter

Collinsville, IL · On-site

$20 - $25/hr

Prepare surfaces for painting by washing, scraping, sanding, or by other means necessary * Mix, match, and blend various paints, enamels, lacquers, varnishes, stains, and special protective coatings ...

City Colleges of Chicago

Janitor-Temporary

Chicago, IL

$17.05/hr

Scraping of gum and other objects form hard surfaces and carpet. * Spot cleaning furniture or carpet, but not more than 2 hours per day. * Setting up and /or take down of chairs and tables. * Wet ...

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All JobsScraping JobsScraping Jobs in Illinois

Scraping information

See Illinois salary details

$26.3K

$61.5K

$127.7K

How much do scraping jobs pay per year?

As of Aug 23, 2026, the average yearly pay for scraping in Illinois is $61,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,925.00 and $68,443.00 per year, depending on experience, location, and employer.

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 job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

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

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

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

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

What cities in Illinois are hiring for Scraping jobs?

Cities in Illinois with the most Scraping job openings:

Scraping jobs near you
Infographic showing various Scraping job openings in Illinois as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, 2% Contract, 1% Nights, and 6% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $61,492 per year, or $29.6 per hour.

Python AI Engineer (Local to Chicago Only)

Solution Partners, Inc.

Chicago, IL • On-site

Other

Re-posted 5 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