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Fiverr Pro
English
$
USD
I will build custom API integrations in python
Varun
About this gig
Professional API integration and automation services using Python, Flask, and FastAPI. I can connect third-party APIs, automate workflows, build custom solutions, integrate databases, and develop AI chatbot or CRM integrations.
Get to know Varun
Varun
AI powered data insights with smart Python solutions
- FromIndia
- Member sinceApr 2025
Languages
Hindi, English
I am Varun, a Data Science and Data Analysis specialist skilled in Python, Pandas, NumPy, Matplotlib, Power BI, and machine learning. I help businesses clean data, analyze trends, build predictive models, and create clear, interactive dashboards. With experience in real-world data projects and internships, I deliver accurate insights, automation scripts, and data-driven solutions that support smart business decisions.
FAQ
What APIs can you integrate?
I can integrate REST APIs, third-party APIs, payment gateways, CRM systems, Google APIs, social media APIs, AI APIs (OpenAI/Gemini), weather APIs, and many other web services.
What information do you need before starting?
Please provide your project requirements, API documentation, access credentials (if required), and details about your website or application.
Can you integrate APIs into my existing website or application?
Yes. I can integrate APIs into existing web applications built with Python, Flask, FastAPI, JavaScript, or other supported technologies.
Do you provide source code?
Yes. All packages include clean and organized source code unless otherwise specified.
Can you build AI chatbots using OpenAI or Gemini APIs?
Yes. I can create AI-powered chatbots for customer support, lead generation, FAQs, and website assistance using OpenAI or Gemini APIs.
Can you automate business workflows?
Yes. I can automate workflows such as CRM updates, Google Sheets synchronization, email notifications, data processing, and webhook-based automation.
Do you offer database integration?
Yes. I can connect APIs with databases such as MySQL, PostgreSQL, SQLite, and MongoDB depending on your project requirements.
