Excel/CSV Automation for Data Extraction -- 2

@hits

Please share source files with some sample data and target files mapping the source data to the destination files. Also when you say automate - will this run at specific times/ days? Complete details and inputs will enable me to assess scope of work precisely and deliver as needed.

@muneeb6767

Hey, this is basically an ETL job - pulling specific data points out of a mix of Excel, CSV, and PDF files and consolidating them into 5 clean output files. I've done similar work before: an invoice OCR pipeline (Tesseract + Python) that read PDFs and auto-updated Excel trackers, plus a few projects merging and cleaning large multi-file datasets into single sources of truth. For this I'd use Python (pandas/openpyxl) for the Excel/CSV side, and pdfplumber or OCR (depending on whether your PDFs are text-based or scanned) for the PDF extraction. Everything would map into your 5 output files through a script you can just re-run whenever new source files land - no manual copy-pasting. Two quick questions: are the PDFs text-based or scanned images, and will this run once or repeatedly on new files going forward? Can start as soon as we nail down the exact field mapping for each output file. Happy to hop on a call or just chat here first.

@mahads31

Hiring me, Mahad Sheikh, for your Excel/CSV automation project would not only be a wise decision but also an investment in quality and efficient service. My diverse skill set and extensive experience in data management and analysis, coupled with my proficiency in Excel and Python, make me the perfect fit to automate your data extraction process. As a technology partner, my approach to every project is strategic, aiming to deliver solutions that are not only functional but also scalable for long-term use. With a solid background in system architecture and UI/UX-focused design, I'm confident in my ability to provide user-friendly automation solutions that would save you both time and energy. Moreover, my knowledge of various APIs and integrations like n8n would allow me to seamlessly extract specific data points from different file types (be it excel, csv or pdf) harmoniously. I'm excited about the opportunity to work on this project and I assure you that I'll leave no stone unturned to ensure client satisfaction throughout the entire process. Let's discuss further how we can turn your complex requirements into reliable automated systems that create lasting success for your business.

@vw1514518vw

Excel, VBA professional developer, Cheked the details and ready to do the required. Relevant experience and sample reference works and clients' reviews in links below. Regards. https://www.freelancer.com/projects/excel/Excel-Auto-Execute-Macro-Upon/reviews https://www.freelancer.com/projects/excel/Fix-excel-VBA-36198376/reviews https://www.freelancer.com/projects/data-processing/data-processing-use-mail-merge/reviews

@Rsolitario

I will automate data extraction from your PDF, Excel, and CSV sources to directly, quickly, and error-free generate the five final Excel and CSV files your team needs. I will develop a custom Python solution (using Pandas for table processing and specialized PDF parsing libraries) that will precisely filter and map specific data points from each source file. This will transform a repetitive manual process into a one-click task, reducing hours of work to seconds and eliminating human error. I will deliver the fully functional and optimized script within an estimated 3 to 5 days, including validation testing of the generated data. I invite you to start a chat to review the structure of your sample files and coordinate the start of development today.

@AsmarAtique

Hi, I can automate your five Excel/CSV files by extracting the required data points from multiple Excel, CSV, and PDF files and preparing the final outputs accurately. I have 12 years of Financial Analyst experience with strong expertise in Excel, data consolidation, large datasets, reporting, and automation. I can create a reliable workflow for data extraction, cleaning, matching, validation, and automated output generation, reducing repetitive manual work and making the process easy to repeat whenever new files are received. Please share a sample of the source files and expected outputs so I can understand the structure and build the most efficient solution. Best regards, Muhammad Asmar

@CauaAlves

This is a clean Python/Excel automation job and I've built similar multi-source consolidation scripts before. My plan: 1) Map exactly which data points from which Excel/CSV/PDF files feed each of the 5 output files, based on a short call or the samples you share. 2) Build a Python script (pandas + openpyxl for Excel/CSV, and a PDF extractor where needed) that reads all inputs and produces the 5 outputs consistently every run. 3) Make the mapping data-driven with a small config or mapping sheet, so when files are added later you just drop them in and re-run. 4) Add basic validation (missing columns, empty values) so errors are caught before the outputs are used. You'll receive the script, a short README (inputs, outputs, how to add new files) and a test run on your real samples before delivery. Delivery in 5 days. Share the sample files and the exact list of data points you need — I'll confirm the mapping with you before writing the code.

@caajoys

Thank you for considering my proposal. I have gone through the requirements in detail. I can automate the process of consolidating your five Excel/CSV output files by extracting the required data points from multiple Excel, CSV and PDF source files. With 10+ years of experience in Excel automation, financial analysis, data processing and reporting, I am a Chartered Accountant (ICAI) and CPA. I have uploaded samples of similar Excel automation, data consolidation and reporting projects completed by me earlier in my profile. I’ll first map each required data point to its source file and establish a consistent data structure. Using Power Query, Excel formulas, VBA or Python, depending on the workflow, I’ll build a repeatable process that automatically extracts, cleans, transforms and consolidates the required information into the five final files. The solution will minimise manual copying, include validation/reconciliation checks, handle changing source files where practical, and remain easy to refresh when new Excel, CSV or PDF data is received. I’ll also provide clear documentation explaining the workflow and refresh process. Payment & delivery assurance: ✅ No upfront payment ✅ Release payment after completion or milestone ✅ Timely delivery ✅ 100% commitment to project completion I’m ready to build a reliable, scalable automation that significantly reduces manual data extraction and ensures consistent, accurate outputs.

@larencea30

Hello, I can automate the preparation of all five Excel/CSV output files by extracting the required data points from your source Excel, CSV, and PDF files. I recommend Python with pandas and openpyxl for spreadsheet processing, plus pdfplumber for text-based PDFs. If any PDFs are scanned images, I can add OCR after reviewing their quality and layout. The solution will: • Map specific source fields to each required output column • Merge data from multiple files automatically • Clean dates, numbers, names, and inconsistent formats • Detect missing values and duplicate records • Preserve the required Excel/CSV structure • Produce a validation and error log • Support repeat processing through one command or a simple interface • Include source code and setup instructions Estimated timeline: 2–4 business days after reviewing representative source files and the five expected output templates. Please share sample input files, completed output examples, and the field-mapping rules. Are the PDF files text-based or scanned, and will future source files follow the same layouts? Best regards

@Marwan328

Dear Amit, I am writing to express my interest in automating the extraction of specific data points across your multiple Excel, CSV, and PDF files. With extensive expertise in Python programming, Excel/VBA automation, data processing, and software architecture, I am confident in delivering a robust, scalable solution tailored to your requirements. I specialize in designing efficient data pipelines that integrate heterogeneous data sources, ensuring accuracy and consistency in extracted outputs. Leveraging libraries such as Pandas for data manipulation, and combining Python scripting with VBA macros when appropriate, I can automate the aggregation and transformation of your data files seamlessly. My proficiency extends to parsing PDFs and handling complex workflows to extract pertinent information reliably. Having designed numerous automation workflows and data processing systems, I emphasize clean, maintainable code and thorough testing to meet deadlines and budget within your INR 1500-12500 range. I will ensure your final Excel/CSV outputs are ready to integrate into downstream business processes with minimal manual intervention. I look forward to discussing your project details further and demonstrating how my skills align perfectly with your automation needs. Best regards, Marwan

@besmirqerosi

Hi, This is exactly the kind of data consolidation work I do. My approach: I'd write a Python script (pandas/openpyxl for Excel & CSV, pdfplumber for PDF extraction) that reads all your source files, pulls out the specific data points you define, validates them, and writes them into the 5 target spreadsheets in the exact format you need. Once built, you can re-run it any time new source files come in. To scope this accurately, could you clarify: 1. Are the PDFs text-based or scanned/image files? 2. Roughly how many rows/records are we talking about per file? 3. Is the mapping (which field goes where) fixed, or does it change per source file? 4. Is this a one-off task, or something you'll need repeated on new files going forward? Once I have these details I can confirm a firm price and timeline within your budget. I build clean, formula-driven spreadsheets (zero hardcoded values) and always deliver a quick summary of any data I had to flag or couldn't match. Happy to start as soon as we align on scope. Best, Besmir

@petropankovdev

Hi, Five recurring output files built from Excel, CSV and PDF sources, with a fixed set of data points pulled out of each one. That is a scripted job, not manual work: one Python tool that reads the source files, applies your extraction rules field by field, and writes the same five outputs every time you run it. How I would do it: - You send one real sample of each source file plus one example of a finished output file. - I map every output column to its source field and confirm the rules with you in writing before I write any code. - I build it in Python (pandas for the Excel and CSV side, pdfplumber for the PDF tables), run it on your samples, and put the generated output next to your manual one so you can check value by value. - You get the script, a short setup note, and the five files regenerating with one command. Relevant work: I have built and delivered data extraction tools of exactly this shape, pulling specific fields out of structured sources and writing them into clean CSV and spreadsheet outputs, PDF inputs included. On this account I have one completed project rated 5 out of 5, delivered on time and on budget. I also have 15 merged pull requests in third party open source projects, mostly a 187 star Go security tool, each one reviewed and accepted by the maintainers. First step is free: send me one source file and the matching row from your finished file, and I will return the extracted values from it before you commit to anything. Price: 7500 INR for the five files as described, 5 days from the moment I have the samples. One question: are the five output files a fixed template you already use, or do I design the layout? Petro Pankov, BotCraft Group

@RyanF172

We have over 5 years experience with similar projects for data automation. You're looking to automate five Excel and CSV files by extracting specific data points from various sources, including Excel, CSV, and PDF files. I would approach this project by first analyzing the data structures of the input files to identify the specific points you need. Then, I would create a streamlined process using Excel macros or Python scripts to extract and compile the necessary information efficiently. This will minimize manual effort and reduce errors, allowing you to access the data you need quickly. Deliverables: - Automated Excel and CSV files with extracted data - Detailed documentation of the automation process - Testing to ensure data accuracy - Clear communication throughout the project - Optional revisions based on initial feedback I am happy to share relevant examples of my previous work. Let’s discuss how we can get started on this project. Regards, Ryan

@keneiyke

Hello, I can build a repeatable automation that extracts the required data points from your Excel, CSV and PDF source files and produces the five specified Excel/CSV outputs. I will first map the source fields to each required output, then develop and test the extraction, transformation and validation process using Power Query and Python where appropriate. The solution will include checks for missing records, duplicates, inconsistent formats and unmatched fields. Before development, I would review sample source and output files to confirm the required fields and whether the PDFs contain searchable text or scanned images. I can deliver the tested automation, completed output files and simple instructions within five days.

@diegog132

The key here is not simply combining files, but making the process repeatable so the same five outputs can be regenerated reliably whenever the source Excel, CSV and PDF files change. I would first define exactly which source fields feed each of the five output files, then build the extraction and transformation process in Python. Excel and CSV sources can be handled directly, while the PDF method would depend on whether they contain selectable text/tables or are scanned documents. I would also include validation checks so missing fields, changed column names or unexpected source layouts are identified instead of silently producing incorrect output. My background in accounting, data analysis and Python is useful here because I am particularly careful about reconciliation and consistency between source data and final files. One question before starting: are the PDF files text-based or scanned, and do the source Excel/CSV files normally keep the same structure each time?

@eugabrielmaximo

Hello, you need to automate the process of turning multiple Excel, CSV, and PDF source files into five final Excel/CSV outputs, with specific data points pulled from different files and combined consistently. The key challenge is making this reliable and repeatable rather than manually locating and copying values each time. I can build a Python-based data pipeline that: - Reads the relevant Excel, CSV, and PDF sources - Extracts the required fields based on your rules - Matches/merges data across files using the appropriate identifiers - Produces the five required Excel/CSV files in a consistent format - Adds validation checks so missing, duplicated, or inconsistent data is flagged instead of silently producing incorrect results I would first map each source file to the exact fields required in each output, then create the extraction and transformation workflow around those rules. I can also structure it so that replacing the source files with the next reporting period requires minimal manual work. One question before starting: do the source files follow the same column/layout structure each time, or can their formats change between periods? If you can share a sample set of the source files and the five expected outputs, I can quickly assess the best automation approach.

@xcybernetic

Hello, I can support Excel/CSV Automation for Data Extraction -- 2 with a defensive, evidence-driven security approach. My experience covers secure SaaS architecture, access control, API abuse analysis, intrusion and anomaly validation, audit trails, Linux/cloud environments, and clear technical reporting. I would begin by confirming scope, authorization, assets, and success criteria, then execute the agreed assessment or implementation with reproducible findings, prioritized remediation, and a concise handover. I do not rely on generic scanner output; each result is verified and tied to an actionable fix. Please share the authorized scope and expected deliverables so I can confirm the first milestone.

@Ruan111

We've just completed a similar project, automating data extraction from multiple sources for a client. In that case, we streamlined the process, resulting in significant time savings and improved accuracy. Based on what you're looking for, I can create an automated solution to extract specific data points from your Excel and CSV files seamlessly. I noticed you require precision and efficiency, which are key strengths of mine. With over 75 five-star reviews on similar tasks and a top 1 percent ranking among 75 million users, I specialize in delivering tailored automation solutions that meet your needs. I'd love to discuss a few examples that align with your project requirements and show you how we can simplify your data workflow. Regards, Ruan111.

@venkatsreekanth

Hi, I am interested & novice to scraper will do these techinques Automate five excel and csv files which is prepared from multiple excel, csv and pdf data files. We have to pick specific data points from different excel and csv files Looking forward to assist Thanks