Data Extraction Jobs

I have several PDFs filled with mixed text-and-number tables that I need moved into Excel so I can run detailed data analysis. Every heading, font style, merged cell, and numerical format must look the same in the spreadsheet as it does in the source file—nothing can be lost or rearranged in the transition. You may use any reliable toolset you prefer—Adobe Acrobat, Power Query, Python with tabula-py or camelot, even a custom macro—as long as the final .xlsx sheet is ready for immediate analysis. Accuracy will be checked against the original PDFs; column order, cell borders, and number formats must match exactly, and totals must reconcile. Deliverables • A clean, fully formatted Excel workbook for each supplied PDF • A brief note describing the method you u...

I need an experienced Siemens SIMATIC PCS 7 / WinCC engineer to build a read-only connector from an existing PCS 7 DCS system to an existing Excel MIS workbook. The plant already uses PCS 7/WinCC and the Excel workbook already contains formulas and a management dashboard. The goal is to automatically extract selected DCS values and populate only the approved Excel input cells without modifying plant-control logic. The freelancer should first review the actual PCS 7 setup and recommend the safest supported method, such as Siemens-generated Excel/CSV export, OPC UA/OPC DA, OpenPCS 7, Process Historian, WinCC archives, or another approved read-only interface. Scope includes: identify the correct PCS 7/WinCC data-access method; map approximately 50–100 required tags/parameters to Exc...

I have a folder that fills up every minute with fresh JPEG screenshots. Each image contains both text labels and numerical readings that I need captured in the exact order they arrive. Here is what I need built: • A lightweight desktop or command-line app (Python + Tesseract OCR, OpenCV, or any equally reliable stack is fine) that watches a chosen directory and, as each JPEG appears, extracts the visible text and numbers. • The extracted items must be written to an .xlsx file in real time, placing all detected text in one column and the corresponding numbers in the next column so the dataset lines up row by row. • As the file grows, the workbook should automatically maintain a simple trend chart that plots the numerical column against timestamp (or row index) so I c...

# Job Post: University Website Data Scraping / Email Extraction I’m looking for someone who can help me **extract publicly available email addresses and contact information from university websites**. ### What you’ll do * I will provide a list of approximately **60 university** websites. * Visit the relevant university/department/lab/faculty pages. * Find and extract **publicly listed email addresses** of relevant faculty/researchers. * Organize the information in a structured Excel/Google Sheet. * Ensure the extracted information is accurate and properly linked to the source webpage. * I will also help with the process and provide guidance on which departments/pages to focus on. ### Deliverable A clean spreadsheet containing, where available: * University * Faculty/Resea...

I have a collection of Microsoft Word documents and I need every standalone paragraph lifted out and placed into an Excel workbook, with each paragraph occupying its own row. No tables, images, or contact blocks—just the plain text paragraphs exactly as they appear in the source files. You may use any reliable method you prefer (manual copy-paste, VBA, Power Query, or a small Python script with python-docx and openpyxl) so long as the final result is clean and accurately mirrors the original wording, punctuation, and line breaks. Deliverables • One .xlsx file per Word batch, each row containing a single paragraph in sequence • Source-to-row mapping retained (either by file name in a separate column or a clear index) • Completed file returned error-free and read...

I have a collection of PDF files that contain structured tables I need moved into a clean, well-formatted Excel workbook so I can run data analysis right away. Your task is a straight conversion—no deduping, reformatting of dates, or other transformations—just an accurate, cell-by-cell transfer. Key points to keep in mind • Every table, every row: nothing can be skipped. • Three columns are critical and must be clearly preserved in the sheet: Dates, Values, and Text descriptions. Feel free to flag them with a subtle background colour or bold header so they stand out the moment I open the file. • Sheet layout should mirror the PDFs, making it easy for pivoting and charting later. Deliverable An .xlsx file (or multiple sheets if that keeps things tidy) ...

I have a collection of PDF documents that contain numbers scattered across tables, embedded charts, and interactive form fields. I need every one of those figures captured accurately and transferred into a structured spreadsheet or database of your choice—Excel or Google Sheets is fine as long as the final file remains easy for me to filter, sort, and run basic calculations on. Here is what success looks like for me: every numeric value that appears in a table, chart, or form field inside each PDF ends up in the corresponding row and column of the output file, with the original hierarchy (document → page → table/chart/form) clearly preserved so I can trace any figure back to its source page without opening the PDF again. Totals and subtotals must add up, and any discrepanc...

I need a clean, reliable dataset that lists technology-sector companies, the names and verified contact details of their key decision-makers (CEO, CTO, CFO and any other senior leaders you uncover), plus each company’s latest annual revenue figure. Ex : I want to do a fabrication in and around bangalore but which company is available near me and what's their expertise is unclear. I need certifications details so that it can be filtered. Also how to qualify these vendors is very important. And in India where its lowest cost of such work. The task involves: • Locating every relevant tech company you can find through sources such as Crunchbase, LinkedIn, ZoomInfo, company registries or direct website scraping. • Pulling accurate leadership information—full...

I want a self-contained software agent that, when I feed it the name or domain of a medium-sized enterprise, automatically pieces together the company’s full organisational chart and returns a verified corporate email and number for every person it finds. The agent may explore open data reservoirs—our internal databases, public directories and employee social profiles—but it should not rely on any authenticated endpoints, API keys or user log-ins. You are free to choose the language and stack, though Python plus libraries such as Scrapy, Beautiful Soup, Selenium or similar web-automation tools would make sense. The final output needs to be delivered in both machine-readable (JSON or CSV) and human-friendly form: a hierarchical tree or graph that clearly shows reporting ...

I have several PDFs filled with tabular data that need to live in a single, tidy Excel workbook. Accuracy is my top priority, but I don’t want a bare-bones dump—please keep the original font styles and sizes as well as the cell colors and borders that appear in the source tables. Everything else (headers, footers, extra spacing) can be stripped away. You’re free to use whatever workflow suits you—Adobe Acrobat, Power Query, Python (tabula-py, camelot), or a manual approach—as long as the finished .xlsx file: • Reproduces every table in its own sheet or a clearly labeled consolidated sheet • Preserves the specified formatting elements (font styles & sizes, cell colors & borders) • Mirrors all values exactly, ready for sorting, filte...

I need the complete text from a collection of PDFs moved into an Excel workbook. The files contain only text—no tables or images—so the task is a straightforward copy-across of every word, not just selected excerpts or keywords. All I’m after in the spreadsheet is plain, unstyled text. No bolding, italics, or heading hierarchy is required; consistency and accuracy matter more than formatting flair. As long as each PDF’s content is clearly separated (one sheet per file or another logical structure you propose), I’m flexible on how you organise the rows and columns. The deliverable is a clean .xlsx file containing the full text from every PDF, double-checked for completeness and stripped of any hidden characters or line-break glitches that sometimes sneak ...

I already have an n8n automation that processes PDF documents received through email. The automation is working, but I am facing an issue with image-based/scanned PDFs. I receive multiple emails containing PDFs from different document categories. Some PDFs contain selectable text and are processed correctly, but many PDFs are scanned documents or contain the required information as images. My current n8n workflow cannot extract data from these image-based PDFs. I am looking for an experienced n8n automation developer to update and fix my EXISTING workflow. I do not need the automation rebuilt from scratch. The updated workflow should: * Detect whether an incoming PDF is text-based or scanned/image-based. * Keep the existing extraction process for normal text PDFs. * Automatically use O...

I have a batch of roughly 50–200 PDF invoices that need to be transformed into a clean, well-structured Excel spreadsheet. For every invoice you will capture three key areas: • Customer details (name, address, contact information) • Invoice amounts (sub-totals, taxes, grand total) • Product details (item descriptions, quantities, unit prices) Accuracy is paramount—I will be spot-checking entries against the source PDFs, so the final sheet must align perfectly with the originals. Please keep a consistent column layout throughout the workbook and preserve any currency symbols and number formats already present on the invoices. You are free to use whichever tools you prefer—Adobe Acrobat, OCR utilities, or manual entry—so long as the delivered...

We are seeking a highly experienced web scraping professional for a long-term collaboration involving large-scale B2B data extraction from major public industry directories in Germany and Austria. This is not a one-time scraping task. We are building a structured, scalable data acquisition system and require a technically strong partner capable of handling full extraction, enrichment, and monthly incremental automation. --- ### Phase 1 – Initial Full Extraction (Per Source) We will provide 1–2 directory sources as a pilot. For each source, the freelancer must: • Extract the complete company inventory • Capture required fields: * Email address (highest priority) * Company name * Street address * Postal code * City • If available: Telephone, Fax, Website, ...

I have several PDF reports composed entirely of well-structured tables—each laid out in clear rows and columns with headers. I need those tables transferred into a single Excel workbook while keeping the look, order, and cell formatting exactly as they appear in the original PDFs. Text, numeric values, header styles, column widths, and any bold or shaded cells should remain consistent, so the finished spreadsheet mirrors the source files at a glance. The scope is straightforward: convert every table, double-check that no data is dropped or misaligned, and return a clean .xlsx file ready for analysis without my having to adjust anything afterward. Accuracy matters more than speed, so please plan on a short validation pass before delivery. Deliverable • One .xlsx workbook repl...

I have a PDF document whose content is organised entirely in tables, and I need every one of those tables transferred into an editable Excel file. Accuracy is critical—the row and column structure must be preserved so that the data can be filtered, sorted, and analysed without additional cleanup on my side. Deliverables • One Excel workbook containing all tables from the PDF, each table neatly placed in its own sheet or clearly separated within a single sheet (whichever keeps the layout intuitive). • No data loss, merged-cell issues, or misaligned headers; totals and subtotals should match the source exactly. Please let me know your estimated turnaround time and any questions you might have about the source file.

I need every piece of engineering intelligence buried in my legacy P&ID drawings lifted into a clean, structured Excel file. The drawings arrive to you as searchable PDFs, and I will send the exact tag-naming and line-label conventions that must be followed. This is not a simple OCR job. You will have to read the schematics like a process engineer: • identify each piece of equipment, every line number and size, all pressure and temperature design data, motor or HP ratings, valves, PSVs, instruments, local indicators, switches, controls, and the relationships that connect them; • transfer the information into the spreadsheet so that tags, descriptions, operating/design figures and interconnections are all in their correct columns; • confirm that nothing is missed...

Description I am looking for someone experienced in EEG data analysis using MATLAB and FieldTrip to provide analysis support for a university research project investigating the effects of attentional load on multisensory integration (MSI). I have already completed data collection and have the raw EEG data in BrainVision format (.eeg, .vhdr and .vmrk) for multiple participants. The experiment includes auditory (A), visual (V) and audiovisual/bimodal (AV) stimuli. Participants also completed an N-back manipulation involving 0-back, 1-back and 2-back conditions, which is being used to manipulate attentional/cognitive load. The overall aim is to investigate whether multisensory processing/integration changes depending on attentional load, using behavioural and EEG measures. I am looking f...

I need a robust, fully automated process that pulls three specific data sets from Amazon every single day: • Product details (titles, bullet points, specs, ASIN, images) • Customer reviews with ratings and timestamps • Current pricing, including promotions and historical price if visible The solution should run on a schedule without manual intervention, gracefully handle captchas or page-layout changes, and drop the results into a clean, structured file or database table I can query—CSV or JSON is fine. Accuracy and consistency matter more than sheer speed; if a product page fails on one run, the script should log the error and retry. I’m comfortable working with Python, so Scrapy, Requests/BeautifulSoup, or Selenium are all acceptable. If you prefer ano...

A batch of digital files (e.g., PDFs) contains plain text that must be transferred, line by line, into a structured Excel workbook. The task is entirely text-based—no numbers or calculations—so accuracy in spelling, punctuation, and spacing is essential. I will supply the PDFs and a template spreadsheet with the required column headers. Your job is to read each PDF, capture the relevant text exactly as it appears, and place it in the corresponding cells. If a PDF page includes headers, footers, or incidental content, leave those out unless I flag them as needed. Deliverables: • Completed Excel file populated with the extracted text • A brief note highlighting any unreadable characters or ambiguous passages Before starting, confirm you can open standard PDFs and w...

My security unit overwrites footage after two days, yet I still see traces of 6 August files when I scan the disk (57 GB capacity, 53 GB in use) with “Restore My Files.” This tells me the data from 3 August—and hopefully the neighbouring days—is still lingering in unallocated space. I need those 3 August recordings brought back and saved directly onto the same device in their original MP4 format. If you can rescue anything just before or after that date as well, even better, but the 3 August material is the priority. You will have remote or on-site access to the drive image, whichever is safer for data integrity, and I’m happy to create a sector-by-sector clone if you instruct me. Please outline the recovery workflow you intend to follow, the tools you trust...

I have a set of online databases that need to be mined and transcribed into a single, well-structured Excel spreadsheet. The records contain a mix of text fields and numeric values—company names, addresses, IDs, dates, prices, and similar content—so careful attention to formatting is essential. I will provide: • Direct links or login credentials for each database • A template workbook that defines the exact column order and data-validation rules Your job is to: • Retrieve each record from the specified sources • Copy every text and number field accurately, preserving spelling, capitalization, and numerical precision • Populate the workbook sheet-by-sheet, adhering to the template’s data types, drop-downs, and conditional formats Quali...

I have a collection of PDF files filled with text-based content. The information I need copied is confined to the Introduction and Summary sections of each document, and the text in those sections appears only as flowing paragraphs—no tables or bullet points. Your task is straightforward: open each PDF, isolate every word from the specified two sections, and enter the material accurately into an Excel workbook I’ll provide. Each PDF should occupy its own row, with separate columns for the Introduction and for the Summary so I can filter and sort later. Accuracy is critical: line breaks do not matter, but every sentence and keyword must be captured exactly as written, without omissions, additions, or spelling changes. If a file is unreadable or the required sections are missin...

I need the content of several PDF files—each combining text fields like names or descriptions with associated numbers such as quantities and prices—typed cleanly into a single Excel spreadsheet. I will share a simple template so every column lines up the same way across all records. Accuracy is more important than speed: dates must stay in date format, currency values in number format, and spellings must match the source exactly. Once the transfer is complete, give the file a quick pass using Excel’s basic validations (filters, totals) to catch obvious slips before you return it. If any figure is hard to read or a label seems unclear, flag the cell in yellow so I can double-check later. Deliverable: • One fully populated .xlsx file that mirrors the PDFs, ready for ...

I have an RFID reader that must talk directly to an Android device over Bluetooth, but the manufacturer never released an SDK. I need someone who can reverse-engineer or otherwise interpret the reader’s raw Bluetooth packets, pull out the numeric data stored on each tag, and feed that information into a brand-new Android app built specifically for this purpose. Here’s how I picture the workflow: • The app scans for and pairs with the reader via standard Bluetooth settings. • Once connected, it listens for the reader’s data stream, decodes each frame, and extracts only the numeric payload from every tag scan. • The app then displays the tag number on screen in real-time (simple list view is fine for now) and stores it locally for later export. I can p...

I need a turnkey script that logs into Facebook Marketplace, navigates through every active “Cars for Sale” listing, and extracts only the seller’s contact information—name, profile URL, any displayed phone number, and the direct Messenger link. The script should save these fields to a clean, well-formatted CSV and refresh the file automatically every day without manual intervention. Please build it in Python; Selenium, Playwright, or a similarly reliable headless solution is fine as long as it can handle Facebook’s infinite scrolling, dynamic content, and occasional anti-bot measures. Cookie-based login or a secure credential file is acceptable, but the process must stay within Facebook’s terms of service. I’ll deploy this on an Ubuntu VPS, so in...

I have a set of PDFs whose contents—straightforward text and numbers—are already laid out in neat, highly structured tables. All I need is for that information to live in an Excel workbook, arranged in simple, standard columns and rows so I can sort, filter, and run quick calculations without fighting with formatting. Speed is welcome, but accuracy is critical. Every value must match the source exactly, including any decimal places or units shown in the files. Typos, misplaced rows, or skipped entries will break the downstream reports that depend on this sheet. Deliverable: • One clean .xlsx file containing every record from the PDFs, with each original column preserved in the same order across all pages. I’m open to whatever method you prefer—manual entry, ...

I have a collection of PDFs that I need transferred into a clean, fully-editable Excel workbook. The PDFs hold consistent rows and columns of information, and accuracy is critical—no missing fields, no transcription errors, and columns must match the source order exactly. Here is what I expect from you: • Manually or semi-automatically extract every data point from the PDFs. • Set up the spreadsheet with clear headers, proper data types, and tidy formatting so I can filter or sort without extra work. • Double-check totals and any calculated fields against the original documents to be sure nothing was lost in translation. I will supply the PDFs as soon as the project starts and am available for quick clarification along the way. Your final hand-off is one Ex...

We have thousands of websites we need scraped and are looking for someone who has done this professionally. You need to be able to run many scrapers simultaneously and deliver clean data in CSV format. This is a long term position for the right person. We are looking for someone who can dedicate full focus and time to this work rather than splitting attention across many clients. If the fit is right, this is ongoing work for a year or more. Must know Python, Scrapy, Playwright or Selenium. Starting with a paid test task to verify quality before committing. Skills: Web Scraping, Python, Scrapy, Selenium, Data Mining, Data Extraction, Beautiful Soup, CSV How to pay: Pay by the hour Estimated budget: $2 to $3 USD per hour

I need a robust script or small application that can automatically collect every publicly available resume it finds for Las Vegas-based candidates on Indeed, LinkedIn, Glassdoor, and any other open sites or resume repositories you know of. For each profile the scrape should capture the person’s name, phone number, email address, and any stated work-experience details. Scope • Boards: Indeed, LinkedIn, Glassdoor are mandatory; feel free to add Craigs list, CareerBuilder, or niche sites as long as they host downloadable resumes or profile data. • Industries: no narrow filter—I’m interested in technology, healthcare, finance, hospitality, construction, and any “various jobs” you come across. • Geography: restrict to the greater Las Vegas are...

I’m looking for a fast-turnaround solution that takes the repetitive data-extraction work off my hands entirely. The goal is simple: I give you a set of target pages, and your script logs in if needed, navigates through the required paths, grabs the specific fields I specify, and deposits the results in a clean CSV or JSON file ready for downstream use. I don’t want a one-off scrape; I need true process automation. The code should be reusable, easy for me to schedule, and resilient to minor layout changes. Python with Selenium, Playwright or a headless browser is fine—as long as it’s well commented and comes with a quick README so I can run it on my own machine or a small VPS. Because I need this ASAP, clarity is critical. Once you’re onboard, I’ll...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

I have access to an invite-only TradingView indicator whose Pine Script is hidden. I need the full, readable source so I can study the calculation methods that drive its signals and values; I do not plan to modify or redistribute it. You will need to retrieve the unobfuscated code from the TradingView environment, preserving all comments and structure so the formulas remain clear. Familiarity with Pine Script internals, browser or network debugging, and past experience cracking protected invite-only studies will be crucial. Deliverables • Complete, formatted Pine Script source code • Brief annotation or note highlighting where the key calculations are performed Let me know your method, any access or credentials you require, and an estimated turnaround time so we can move...

I have a collection of PDF files that contain a mix of text and visuals. All I need from each file are the embedded images and graphic elements—no text or tables. Your task is to open every PDF, pull out every picture, and save each image at its original resolution. Once the extraction is complete, place the images in clearly named folders that match the source file names. Alongside the folders, create a simple Excel sheet that lists: • PDF file name • Image file name • Page number where the image appeared That spreadsheet will serve as a quick index so I can locate any image instantly. Accuracy matters more than speed; every image has to be captured, named consistently, and referenced correctly in the sheet. If you already use tools like Adobe Acrobat ...

I have already screened and extracted data for 36 studies in Covidence; the export sits in a single CSV. Before any statistics can run, that file still needs to be cleaned and mapped to RevMan-friendly fields, then loaded into RevMan to generate my descriptive meta-analysis outputs. Here’s what I need from you over the next two weeks: • Re-format and clean the CSV so study IDs, comparison arms, outcome names, effect sizes, and variances align with RevMan 5.4 (or newer) requirements • Enter the data into a new RevMan project, structuring all comparisons and outcomes as per my protocol • Produce the standard descriptive outputs: forest plots, overall effect estimates, heterogeneity statistics, and any RevMan summary tables • Return the completed .rm5 file pl...

I’m looking for a ready-to-run or custom-built tool that lets me scrape Instagram user profiles on my own machine and pull out one thing only: contact details. Specifically, I need a clean export of any publicly listed or hidden emails and phone numbers from both public and private accounts I feed into the tool. Here’s the workflow I have in mind: • I drop in a list of usernames (CSV or TXT is fine). • The software signs in with my credentials (handling login challenges or two-factor gracefully). • It navigates each profile, extracts any email address or phone number it can locate—whether surfaced on the profile page, within the bio, or via the “email/phone” buttons Instagram shows to logged-in users. • Results come back in a CSV w...

I have a collection of PDF reports that contain only numerical tables and I need every column transferred into Excel with absolute accuracy. The task is straightforward data extraction—no calculations or interpretation—just a faithful, one-to-one move of all table columns into a clean .xlsx file. Each table in the PDFs must appear on its own sheet, keep the same column order, and preserve any header names exactly as shown. The numbers cannot be rounded or reformatted; they must remain identical to the source so cross-checking totals against the original files comes out perfect. Deliverables • A single, well-organized Excel workbook with each PDF table on a separate tab • Spot checks completed so the final figures reconcile perfectly with the PDFs • A br...

I have a 50-page PDF that contains plain text only. I need every bit of that text transferred into a single-column Excel sheet. Each new logical section in the source should begin on a new row, and the first row for every section must use bold formatting so the headers stand out at a glance. Accuracy is critical; the Excel file has to mirror the PDF’s wording character-for-character—no omissions, no added spaces, and no spelling changes. I will spot-check for consistency before signing off. Deliverable: one .xlsx file completed to the above standard and ready for immediate use.

I’m looking for a simple, reliable way to grab text from online sources and drop it straight into a .txt file while keeping the original layout readable. My material may arrive as PDFs, screenshots, or full web pages, so the extractor needs to cope with mixed inputs without choking on fonts, line breaks, or basic tables. Even though the final output is plain text, I still want the document’s structure preserved: headings should stay on their own lines, paragraph spacing must remain clear, and any list or table should still look like one when opened in a standard text editor. What I expect from you: • A script, small app, or web-based tool that accepts a URL or local file, processes it automatically, and saves the result as a .txt file. • Consistent handling of ...

I need clean, accurate text lifted from several specified online databases and compiled into a single, well-structured Word document. You will receive direct links and access credentials; your task is to capture every word exactly as it appears, paste it into Word, and apply the simple style guide I provide for headings, body text, and spacing. Consistency and attention to detail are more important than speed: no dropped characters, no extra line breaks, and all special symbols must display correctly. When you’re done, send back the finished .docx file so I can run a quick spot-check before release. If you’re comfortable navigating web portals and have a solid eye for text formatting, this will be a straightforward assignment.

I have a PDF packed with several tables of purely numerical data, and every one of those tables follows the exact same column layout. I need all of them moved into a single, tidy Excel workbook so I can immediately start running calculations and analyses. Here’s what the finished file must look like: • One sheet with the column headers reproduced once, followed by every row from every table in the order they appear in the PDF. • Values preserved as numbers rather than text, ready for formulas and pivot tables. • No stray characters, merged cells, or alignment issues—data should sit in a clean grid that mirrors the source. Feel free to use any extraction approach you trust—Python (camelot, tabula-py, pdfplumber), Power Query, Adobe tools, or a hybrid...

I have a 50-page PDF that contains plain text only. I need every bit of that text transferred into a single-column Excel sheet. Each new logical section in the source should begin on a new row, and the first row for every section must use bold formatting so the headers stand out at a glance. Accuracy is critical; the Excel file has to mirror the PDF’s wording character-for-character—no omissions, no added spaces, and no spelling changes. I will spot-check for consistency before signing off. Deliverable: one .xlsx file completed to the above standard and ready for immediate use.

I have 15,000 PDF documents whose filenames are still the raw genetic ID numbers exported from our previous EHR. Each genetic ID is tied to the correct patient through the account-number field in that legacy system, so you will receive a data extract that lets you resolve “ID → account number → patient name.” What I need within 24–48 hours of kickoff: every file renamed to the patient name only (e.g., “”) and placed inside a newly created folder that carries that same patient name. The final structure will be a single top-level directory containing 15,000 patient-named folders, each holding its matching, newly renamed PDF. Because these documents are protected health information, a Business Associate Agreement is mandatory before you touch any da...

I have a collection of PDF forms containing a mix of text and numbers that I need transferred into a single, well-structured Excel workbook. Accuracy is essential, but I also want the spreadsheet laid out in a way that makes day-to-day analysis easy rather than simply mirroring the look of the form. Here’s what I’m after: • Every field from each PDF form captured in the sheet, with the correct data type preserved. • A custom column arrangement I will provide once we start—think clear headers, consistent date and currency formats, and conditional highlights for a few key metrics. • No empty rows, merged cells, or hidden surprises; I should be able to filter and pivot immediately. • Final deliverable as an .xlsx file that opens cleanly in the la...

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I have a batch of PDFs where all the information I need sits neatly inside tables. Every cell in those tables contains text only—no numbers, formulas, or special characters. Your task is to copy that text into an Excel workbook, keeping each table’s row-and-column order intact but using simplified, clean formatting rather than trying to mirror the PDF’s exact look. Essential points • Source content: text-only tables in PDF files • Target file: a single .xlsx workbook (one sheet per PDF, unless a different layout proves clearer) • Formatting: standard font, consistent column widths, no borders or shading beyond Excel’s defaults Please double-check that every table entry is captured and appears in the correct cell. Spelling must match the origin...

Looking for a Hong Kong virtual assistant with IT Computer background. Best is located in Shatin, Hong Kong. I need help to find a specific 2014 email from an old computer hard drive backup compressed file.

I’m adding a “one-click” PDF-to-Excel feature to my website and need an executable that can take any uploaded bank statement in PDF form and return a clean, well-structured XLSX file for the user to download. At this stage I’m not tied to specific bank templates—the tool should handle common layouts gracefully and be easy to extend later if we decide to fine-tune it for particular institutions. Because the service will be open to everyone who lands on the page, stability, speed, and simple error handling are crucial. Visitors will not log in; they will just drop a file, hit convert, and immediately receive the spreadsheet, so there’s no room for lengthy queues or time-outs. Here’s how I picture the workflow: 1. User uploads PDF via the web inte...

I need help moving mixed text and numerical records from several subscription-based online databases into our own web-based system. Everything is already available digitally; there is no scanning or OCR involved—just careful extraction, formatting and upload. You will log in to the source platforms I provide, copy the required fields exactly as shown, and enter them into the target database through its browser interface. Accuracy matters more than speed, so I will be double-checking imported records for spelling, number alignment and correct field mapping. Deliverables: • All assigned records entered in the destination database, fully validated and marked “complete” inside the system. • A brief activity log noting any source entries that were blank, dupl...