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I need a straightforward script that connects to my existing MongoDB database, queries the product collection, and exports two fields—Product Name and Description—into a clean, well-structured Excel workbook. No pricing data is required this time. Please make the export repeatable: I want to be able to run the script whenever the catalog changes and generate a fresh .xlsx file without manual tweaks. Feel free to use Python (pymongo, pandas, openpyxl) or another language you’re comfortable with as long as the final deliverable is the Excel file plus the source code and a brief README telling me how to run it on Windows. I’ll consider the job complete when: • The script connects, pulls the correct fields, and produces an Excel file with all current products. • Field names match exactly—Product Name in column A, Description in column B. • No data loss or truncation occurs, and non-ASCII characters remain intact. If you can turn this around quickly, let me know your timeline along with any clarifying questions.
Project ID: 40449653
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Active 5 days ago
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7 freelancers are bidding on average ₹902 INR for this job

Hi I have gone through the requirements. Good experience in creating custom scripts. Will do this mongo db product export script using PHP. I'm available to start now. Please contact for further discussions. Regards, Mohan
₹800 INR in 1 day
5.1
5.1

I can export your MongoDB product data efficiently. MIT graduate with database expertise in SQL, NoSQL, and data pipeline development at Axtria and Google. I have worked with MongoDB aggregation pipelines, data extraction, and export to CSV/Excel/JSON formats. I will deliver your product data export cleanly and accurately.
₹1,050 INR in 7 days
2.0
2.0

I’ve handled MongoDB export and reporting scripts like this before where the priority was reliability, clean formatting, and being able to rerun the process easily whenever the dataset changes. Your requirement for a simple repeatable export into a properly structured Excel workbook is very straightforward. I can build a lightweight script using Python with pymongo and pandas/openpyxl that connects to your existing database, extracts the Product Name and Description fields exactly as specified, and generates a clean .xlsx file with full Unicode support. I’ll also include a short README with Windows setup and run instructions so the process stays simple long term. Happy to jump on a quick chat to confirm the collection structure and expected record count before starting. Regards, Blaze Nicholas
₹1,050 INR in 14 days
0.8
0.8

Hi, You need product data out of MongoDB reliably and without complex overhead—I can have that script ready in 24-48 hours. Since your description cuts off at the requirements, I'll build a flexible export utility that handles the most common case: connecting to your database, querying your product collection, and outputting to CSV or JSON depending on your downstream needs. I'll use PyMongo with a simple connection config pattern, building the script to handle pagination for large datasets automatically. This approach avoids external dependencies and keeps the setup straightforward—just your connection string and which fields to export. I'll include error handling for connection failures and incomplete data exports. First step: I need clarity on what gets exported and the output format (CSV, JSON, both?). Once I confirm that and have your MongoDB connection details, I'll deliver a working script with documentation in 24 hours. What happens with the exported data afterward—does it feed into analytics, a new system, or backup storage? Best regards, Val
₹600 INR in 7 days
0.4
0.4

Hello, I understand that you need a reliable script to export product data from your MongoDB database into a structured Excel file, ensuring accuracy and ease of use whenever your catalog changes. My approach will utilize Python with pymongo for database interaction and pandas along with openpyxl for generating the Excel file. Here is what I will deliver: - A script that connects to your MongoDB, retrieves the Product Name and Description fields, and exports them into an Excel workbook. - The Excel file will have Product Name in column A and Description in column B with no data loss or truncation. - Clean, well-documented code along with a README for easy execution on Windows. I can confidently complete this within your budget and timeline, and I will keep you updated throughout the process. Could you please confirm if there are any specific naming conventions you prefer for the Excel file? Best regards
₹1,050 INR in 7 days
0.0
0.0

Hello, I can deliver a robust, repeatable export solution that pulls Product Name and Description from your MongoDB catalog and writes them to a clean, well-structured Excel workbook with no data loss or truncation. The script will connect securely to your MongoDB instance, query the product collection, and output exactly two columns: Product Name in column A and Description in column B. I will implement a repeatable workflow (a single, well-documented script) that you can run whenever the catalog changes to produce a fresh .xlsx file. Deliverables include: - Source code (Python using pymongo, pandas, and openpyxl) with clear configuration for host, port, database, and collection. - A generated Excel file containing current products with correct encoding for non-ASCII characters. - A concise README with Windows-run instructions, including prerequisite setup, environment creation, and how to execute the script. - Optional: a lightweight config file to streamline repeated runs (output path, filename, and a timestamp). I can start immediately and target a quick turnaround. Please share any preferred output filename pattern and the exact MongoDB connection details you’re comfortable providing in a secure way. Best regards,
₹1,165 INR in 1 day
0.0
0.0

New Delhi, United Kingdom
Member since May 17, 2026
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