Extract 900K Email Records
Budget: ₹12,500 – ₹37,500 INR
I have a set of large CSV files holding about two million email entries. From that master data I already know which 900 000 rows I need; your task is simply to pull those exact rows out of the CSV(s) and deliver them intact, with every column and piece of metadata preserved.
I will provide:
• The source CSV files (≈2 M rows).
• A separate list that identifies the 900 k target emails (by address or unique ID).
I need back:
• A single CSV (or compressed CSV) that contains only the matched 900 k records, in the original column order.
• Confirmation that the output count is correct.
• The script or command you used—Python + pandas, awk, shell, or any efficient method—so I can reproduce the extraction later.
No extra filtering, sorting, or transformations are necessary; accuracy and reproducibility are all that matter. Please let me know how quickly you can have the file ready and which toolset you intend to use so we can move forward immediately.
I will provide:
• The source CSV files (≈2 M rows).
• A separate list that identifies the 900 k target emails (by address or unique ID).
I need back:
• A single CSV (or compressed CSV) that contains only the matched 900 k records, in the original column order.
• Confirmation that the output count is correct.
• The script or command you used—Python + pandas, awk, shell, or any efficient method—so I can reproduce the extraction later.
No extra filtering, sorting, or transformations are necessary; accuracy and reproducibility are all that matter. Please let me know how quickly you can have the file ready and which toolset you intend to use so we can move forward immediately.
Related categories:
Python
Data Processing
Excel
Web Scraping
Data Mining
Data Extraction
Data Management
Pandas