brand-monitoring

Brand monitoring flow using DeepSeek-R1, CrewAI and BrightData

This project implements an automated brand monitoring system using AI agents. We use the following tools to build this:

• Bright Data is used to scrape the web.
• CrewAI to build the Agentic workflow.
• DeepSeek-R1 as the LLM.

The brand monitoring output is shown here: Sample output

---

Setup and installations

Get BrightData API Key:

• Go to Bright Data and sign up for an account.
• Select "Proxies & Scraping" and create a new "SERP API"
• Select "Native proxy-based access"
• You will find your username and password there.
• Store it in the .env file of the src/ folder (after renaming the .env.example file to .env)

BRIGHT_DATA_USERNAME="..."
BRIGHT_DATA_PASSWORD="..."

• Also get the Bright Data API key from your dashboard.

BRIGHT_DATA_API_KEY="..."

Setup Ollama:

# setup ollama on linux 
curl -fsSL https://ollama.com/install.sh | sh
# pull deepseek-r1 model
ollama pull deepseek-r1

Install Dependencies: Ensure you have Python 3.11 or later installed.

pip install ollama crewai crewai-tools streamlit

---

Run the project

Finally, head over to this folder:

cd brand_monitoring_flow/src

and run the project by running the following command:

streamlit run brand_monitoring_app.py

---

📬 Stay Updated with Our Newsletter!

Get a FREE Data Science eBook 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. Subscribe now!

---

Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.