Reddit Data Extraction Script using PRAW (Python)

@robin1108

I can do this project according your requirements. I'm ready to start the project asap. If you can message me now, we can do further discussion. Waiting for your message. Thanks!

@blackrockwise

Hello Monir, I understand you need a Python script using PRAW to extract all comments from a specified Reddit username, filter them starting from October 11, 2025, and generate a detailed report including counts and individual comment details. The output formats should be TXT, CSV, or DOCX, and the script must handle large data volumes while being easy to run. With extensive experience in Python scripting and working with Reddit’s API through PRAW, I am confident I can deliver a clean, efficient, and robust solution. I have developed similar data extraction tools that manage large datasets and produce well-structured outputs along with clear usage instructions. My approach will ensure accurate filtering, comprehensive reporting with unique Incident IDs, and sample outputs for your review. I prioritize clear documentation so you can easily run and maintain the script. I look forward to discussing your exact requirements and starting the project promptly. Please feel free to reach out with any questions or additional details. Best regards, [Your Name]

@Techroj

Dear Client, Greetings! I have reviewed your project and can confidently build a Python script using PRAW to extract Reddit user comments, filter them by date, and generate structured reports with counts and details like comment link, text, and date. I have strong experience in Python, API integration, data processing, machine learning, and I will ensure the script handles large data efficiently while remaining easy to run. I will provide the complete working script, clear instructions, and sample output in txt/doxt format. Looking forward to working with you. Regards, Rojan U

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Reddit Data Extraction Script using PRAW (Python). I am an 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

@SomeeLee25

Hello Monir, I am a full-stack developer with experience in Java Spring Boot, MySQL, HTML/CSS/jQuery, and Python for data processing and automation. I can build a robust PRAW-based script to extract all comments from a Reddit user account, filter by date, classify comments (total, replies, top-level), and generate structured reports (TXT/CSV/DOCX) with Incident IDs, links, usernames, text, and dates. The script will be optimized to handle large datasets, easy to run, and delivered with clear instructions and sample output. Given the scope and quality assurance required, my proposed rate is $80 USD, with delivery within 4–5 days. Looking forward to working on your project. Best regards, Somee

@Yevhen1987

Hi. Ready to start now. I'll use Python for your Telegram bot. I understand the need for a straightforward, efficient script for a micro-project. - A functional Telegram bot script - Clear, commented code Do you have specific APIs or bot commands in mind for this project? Best regards, Yevhen.

@craigd43

With my extensive experience in data analysis and data mining, I am confident in my ability to build a comprehensive and efficient script using PRAW that will perfectly meet your needs. Over the years, I have successfully conducted various projects similar to yours, extracting streams of data from multiple sources and meticulously organizing them. The skill set I bring to the table includes being adept at handling large amounts of data and providing easy-to-understand representations of it. This aligns perfectly with your project requirements of filtering by date and generating simple yet informative reports for each comment. Additionally, I am experienced in using PRAW and can assure you that my script will be fully compatible, functional and low-maintenance. Lastly, just let me say how excited I am to tackle this project! Working as a freelancer for some time now has not only honed my technical skills but also taught me the importance of clear communication and timely delivery. You can trust that I'll not only provide you with a working script but also with comprehensive instructions and a detailed output. Let's discuss further how we can start working together on extracting invaluable insights from Reddit with my expertise!

@humanspdy

I understand you need a Python script using PRAW to extract and analyze Reddit user comments with date filtering, categorization, and structured reporting in multiple formats. To build this project, I would start by integrating the PRAW API to securely fetch all comments from the specified Reddit username. Then, I’ll implement date-based filtering (from Oct 11, 2025 to present), followed by logic to classify comments into replies and top-level comments. After processing, I’ll generate structured reports with Incident IDs, links, text, and timestamps, and export them into TXT, CSV, and DOCX formats. The script will be optimized to handle large datasets efficiently and designed for easy execution with clear instructions and sample output included. With 13+ years of experience in Python development, data extraction, and automation, I can ensure a reliable, clean, and scalable solution for your needs. Let’s connect and have a quick call! Warm regards, Vikas

@Abutalha5

I am Abutalha, a Python developer with experience in data scraping and data analysis. For this project, I can build a PRAW-based Python script to extract all comments from the specified Reddit user and filter them by date (Oct 11, 2025 to present). The script will count total comments, replies, and top-level comments, and generate structured reports with fields like Incident ID, comment link, username, text, and date. The solution will handle large data efficiently and export results in CSV/TXT/DOCX formats. I will also provide clear instructions and a sample output so you can run it easily.

@ssldevmaster

I can build a reliable Python script using PRAW to extract and filter all comments by date, including counts for total, replies, and top-level comments. The script will handle large datasets efficiently and generate clean reports with structured fields like Incident ID, links, text, and timestamps. Outputs will be provided in TXT/CSV/DOCX formats with clear, organized formatting. You’ll receive a ready-to-run script, sample output, and simple instructions for smooth usage.

@Yaelh555

Hello Monir, I saw your project about Reddit data extraction using PRAW to collect comments from a user account and generate reports. It aligns with my 3+ years of Python, data extraction, and API-driven automation experience. Why I’m a good fit: • Expert in Python, PRAW, and robust data pipelines • Experience handling large datasets with paginated APIs and efficient streaming • Delivers clear, structured reports (TXT/CSV/DOCX) with incident IDs and links Relevant work: • Reddit data collection pipelines - scalable scraping and reporting • API-driven data extraction projects with Python and CSV/JSON outputs • Automation scripts with logging, error handling, and retries My approach: • Validate requirements and Reddit API constraints • Implement modular script with configuration for date range Oct 11, 2025 to present • Build report generator (CSV/TXT/DOCX) with Incident IDs (IR-001, …) • Provide test data and instructions to run locally A few quick questions: • Do you have a preferred incident ID format or report schema? • Do you want authentication via script-based credentials or environment variables? • Any specific hosting or run-time constraints? If it sounds good, I’d be happy to discuss and start right away. What is your preferred incident ID format and report schema, and would you like the script to output to CSV, TXT, or DOCX by default? Best regards, Yael

@omkumarsingh1

Hi Monir, I can build a clean, reliable Python script using PRAW to extract and structure Reddit user comments exactly as you need. ✔ Fetch all comments from a username ✔ Filter from Oct 11, 2025 to present ✔ Separate counts (total, replies, top-level) ✔ Generate structured reports with Incident IDs (IR-001, etc.) ✔ Export in TXT / CSV / DOCX formats ✔ Optimized for large data + easy to run Before starting, could you share the username and approx. volume of data? I can even create a small sample (FREE) so you can see the quality before proceeding. Let’s get this done quickly and accurately. Best, Om Kumar Singh

@zeldac1

Hi Monir, I saw you're extracting all comments from a Reddit user with PRAW and filtering by date from Oct 11, 2025 to present. One quick pitfall here is API rate limits and pagination can slow things down when handling large data. Approach: • fetch user comments with PRAW and implement robust pagination • apply date filtering locally or via API parameters • accumulate counts (total, replies, top-level) and generate per-comment reports (IR-001, link, user, text, date) • emit TXT/CSV/DOCX reports and provide a simple run script with clear args I recently fixed a similar Reddit data extraction workflow that processed 100k comments without timeouts. Can you share the exact Reddit username and preferred output format to tailor the script?

@DavidLovett82

Hi Monir, I can build this as a clean PRAW-based data extraction and reporting utility in Python. Implementation will cover: • extraction of all accessible comments for a target Reddit username • filtering from October 11, 2025 to present • classification of each comment as: • top-level submission comment • reply to another comment • summary metrics for total volume by category • structured incident-style reporting for every record with: • sequential Incident ID • direct comment URL • username • full comment text • created date • export pipeline to TXT, CSV, and DOCX • setup notes and example output for immediate handoff The script will be written to run cleanly from the command line and organized so it can handle larger histories without turning into a mess. Deliverables: • working Python script • run/setup instructions • sample output set Thanks, David

@saadqureshi13

Hi Monir, Thanks for sharing the requirements — this is a well-defined and very feasible project. I can build a robust Python solution using PRAW (Reddit API) that efficiently extracts, processes, and reports user comment data as specified. I’ve worked extensively with data pipelines and APIs, so I’ll ensure the script is robust, scalable, and easy to maintain. Let me know if you'd like me to include additional filters or analytics Looking forward to working with you! Best regards, Saad

@wirework

Hi Monir — straightforward project, I can knock this out quickly. I have built several PRAW-based extraction tools and know the API pagination quirks well. Here is what you will get: - Python script using PRAW with proper rate limiting and pagination - Date filtering (Oct 11 2025 to present) built in - Comment classification: top-level vs replies, with counts - Report generation with Incident IDs (IR-001, IR-002, etc) - Each entry: comment link, username, text, date, type - Output in CSV + TXT format (DOCX optional via python-docx) - Handles large comment histories without timeouts I will include clear setup instructions and a sample output file. Can deliver within 24-48 hours. Ready to start — just need the target username.