Excel Exporting Instagram Data Extractor

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Excel Exporting Instagram Data Extractor. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@sayarsinghseo

With a solid background in data processing and extensive Python skills, I believe I'm the perfect freelancer for your Excel exporting Instagram data extractor project. Having worked in the fields of data analytics, machine learning, and Search Engine Optimization (SEO), I possess a unique combination of skills that will enable me to effectively automate your desired task of extracting Instagram Reel data. Understanding the importance of stability and anti-blocking strategy in scraping, I assure you of a robust solution handling not only rate limits and blocking but also Instagram login/session management. My goal is to create a clean, scalable, and well-structured Python tool that guarantees accuracy with no duplicate or missing information in the extracted reels. Furthermore, I can integrate a Telegram bot for ease of access and ensure concurrent handling of multiple users if needed. My deliverables will include a fully functional Python tool with its documented code alongside a clean Excel (.xlsx) output as you expect. With me as your chosen freelancer, rest assured that your project will exceed expectations in terms of quality and timeliness. Let's transform data into actionable insights together!

@sikander512

Hello, I’m an experienced Python developer specializing in web automation and data extraction tools, and I can build a reliable solution for extracting Instagram Reel data exactly as outlined. My approach will focus on stability, accuracy, and scalability. I plan to use Playwright (preferred over Selenium for stealth and speed) with authenticated sessions to minimize blocking risks. The tool will take a Reel URL, identify the account, and dynamically scroll/load all reels posted after that point. I’ll implement intelligent rate limiting, session persistence, and retry logic to handle Instagram restrictions effectively. For each reel, I’ll extract: ✔ Reel URL ✔ View count ✔ Upload date (where available) All data will be cleaned, deduplicated, and exported into a well-structured Excel (.xlsx) file using pandas/openpyxl. Code will be modular, documented, and easy to scale, allowing future enhancements. I’ll also provide clear setup instructions for smooth deployment. Optional features: I can integrate a Telegram bot where users submit a Reel link and receive the Excel file automatically. Multi-user handling can be implemented using async workflows and queue management. Estimated timeline: 2–4 days Cost: Competitive and negotiable based on final scope I’ve built similar scraping and automation systems and understand how to maintain reliability under platform constraints. Let’s discuss your requirements further.

@nksharma420

Hi, I’m an experienced Python developer with strong expertise in automation and web scraping using Playwright and Selenium. I can build a reliable tool to extract Instagram Reel data, handle rate limits, and export clean results into Excel. My approach will ensure accuracy, session handling, and scalability for future enhancements like Telegram integration. I’ve worked on similar scraping projects and can deliver a stable solution with clear documentation. Estimated timeline is 3–5 days, and I can discuss pricing based on your budget.

@Hemantt841

Extracting Instagram Reel data with precision requires a nuanced approach to overcome platform restrictions and ensure reliable automation. This project demands a tool that not only scrapes data efficiently but also navigates Instagram’s anti-bot measures while delivering clean, accurate output. The goal to capture all reels posted after a given URL, along with view counts and optional upload dates, highlights the need for a robust session management and rate-limiting strategy. Leveraging Python’s capabilities with Playwright or Selenium offers a powerful solution to interact with Instagram’s dynamic content while maintaining session persistence and handling login flows. The extraction logic will be designed to systematically traverse reels chronologically, ensuring no duplicates or omissions occur. Data will be structured and exported into a well-formatted Excel (.xlsx) file, supporting easy downstream analysis. Additionally, scalable code architecture will allow optional Telegram bot integration and concurrent user handling to future-proof the tool. Commitment to clean, modular code and comprehensive documentation will facilitate smooth setup and maintenance. Delivery will include a fully tested automation script, clear instructions, and reliable Excel output. Let’s discuss your timeline and any additional features to ensure the tool meets your exact needs and performs seamlessly in production.

@antonp02

Hello Client, I’ll deliver your Instagram Reel Data Extraction Tool with a unified brand identity, fast performance, and easy maintenance. Expect a clean UI, a secure, scalable backend with reliable Playwright/Selenium scraping, plus robust anti-blocking and session management. I’ll ensure accurate, duplicate-free data extraction exported to a well-formatted Excel file. You’ll receive fully documented, clean code, setup instructions, and a walkthrough for smooth handover. Optional Telegram bot integration and multi-user support can be included. My demo projects cover automation, data extraction, and app development—demonstrating end-to-end expertise to exceed expectations. Regards, Anton Prinsloo.

@lucast279

Instagram data extraction to Excel — this is exactly what I build. Python + Playwright for reliable scraping with anti-blocking. Deliverables: 1. Python script that takes Instagram profile URL as input 2. Extracts: post URLs, captions, likes, comments, dates 3. Exports to clean Excel (.xlsx) with proper formatting 4. Handles rate limiting and session management 5. Documented code with setup instructions Can deliver in 2-3 days. What specific data fields do you need extracted?