Pengekstrakan Data Jobs

I need to set up a reliable routine that pulls our sales records from CRM and outputs them as standards-compliant files that match a simple schema I will supply. The assignment is strictly about getting data out of CRM. no importing or transformation inside the platform—so the focus is on clean extraction, correct field mapping, and well-structured XML. If you have questions about the schema or the target environment, let me know upfront so we can keep the turnaround tight.

I need a Python-based solution that automatically gathers companies and shareholders data, pulls supplementary details via external APIs, and outputs a clean, unified dataset I can query at any time. Scope of the scrape • Sources: company websites, financial databases and relevant public records. • Website focus: company profiles, turnover figures and any available Demat / share-holding particulars. What the tool should do 1. Crawl or call the above sources, respecting and rate limits. 2. Parse the required fields, normalise names and IDs, then enrich each record through one or more APIs (for example OpenCorporates, Clearbit or any better suggestion you have). 3. Store results in a structured format (CSV plus an SQLite or Postgres option). 4. Offer a simple comma...

I have between 11 and 50 PDF files that share an identical layout, and I need every field—both text and numerical values—transcribed accurately into a single Google Sheet. Because the template never changes from file to file, once the first row is mapped the rest should flow quickly; what matters most to me is flawless accuracy, consistent formatting, and preservation of any leading zeros or special characters that appear in the PDFs. You’ll receive the PDFs together with a sample Sheet that shows exactly where each column should go. When you’re finished, I should be able to cross-check totals and spot-check random rows without finding discrepancies. Deliverable • One Google Sheet containing all records from every PDF, formatted to match the sample and read...

I need a reliable script or windows-application that automatically gathers text content from specified websites and online databases, then saves everything into a clean, well-structured CSV file. A Windows-software would be preferred. The crawler should be able to crawl the website and spider a list of urls for approval or automatically go through the website Or just scrape a given list of urls (from a txt-file) Key details • Sources: public-facing websites and shops (also with login using username:password) • Data type: text only—no images or binary files. • Output: one CSV per run, UTF-8 encoded, with a header row • should be able to read/exrtract data from !! various shops & websites !! -> generally i need a basic software + "plugins" fo...

We are looking for an experienced developer who can build an automated system to extract daily newly incorporated company data from the MCA (Ministry of Corporate Affairs) website – https://www.mca.gov.in. The system should automatically collect and deliver the list of companies incorporated each day in structured format (Excel / CSV / API / Database). Scope of Work: Develop a web scraping or API-based solution to extract daily incorporated company data from the MCA portal. The tool should automatically fetch newly incorporated companies every day. Data should include the following fields (minimum): CIN Company Name Date of Incorporation ROC (Registrar of Companies) State Company Type (Private Limited / LLP / OPC / Public Limited) Authorized Capital (if available) Regist...

I have a batch of scanned documents whose text is crisp enough for reliable OCR extraction. I need that content transferred into a Google Sheet, keeping the same column-and-row layout that appears in the originals. Please use any OCR tool you trust (Adobe, Tesseract, Google Vision, etc.) to capture the text, then spot-check for accuracy before pasting it into the sheet. Deliverables • One Google Sheet mirroring the documents’ table structure • 100 % of the text transcribed, double-checked against the scans for typos or alignment errors Once the sheet matches the documents exactly, the job is done.

I have a collection of PDFs containing tables that must be transcribed into a single Google Sheet. Each table holds both text and numerical values, and while many files have just one table, a portion include several that need to be captured separately yet placed in the same worksheet for easy consolidation. Accuracy is critical: every label, figure, and formatting nuance in the source tables should appear exactly the same in the sheet. Keep column order and headings consistent so downstream formulas run without rework. For files with multiple tables, please insert a blank row between each set so I can quickly distinguish them later. I will share the PDFs and an empty Google Sheet with the required header row. When finished, simply notify me—no extra macros or scripts are necessary;...

We are looking for an experienced developer to build a robust web scraping solution capable of extracting structured data from a login-protected medical/drug repository website. The platform contains a large database of drug information (potentially hundreds of thousands to over a million pages). The scraper should be able to navigate through the website after login, systematically extract relevant drug data, and store it in a structured format. Scope of Work: Develop a scraper that can log into a protected website. Navigate through the drug repository pages. Extract structured information from each drug page. Handle pagination and large-scale crawling. Implement mechanisms to prevent crashes or interruptions during long scraping runs. Store extracted data in a structured format such as ...

I have a batch of scanned documents whose text is crisp enough for reliable OCR extraction. I need that content transferred into a Google Sheet, keeping the same column-and-row layout that appears in the originals. Please use any OCR tool you trust (Adobe, Tesseract, Google Vision, etc.) to capture the text, then spot-check for accuracy before pasting it into the sheet. Deliverables • One Google Sheet mirroring the documents’ table structure • 100 % of the text transcribed, double-checked against the scans for typos or alignment errors Once the sheet matches the documents exactly, the job is done.

I have one PDF that contains a series of clearly formatted tables. I need every row and column from those tables transferred accurately into a Google Sheet, preserving the original layout, headings, and cell order. You will receive the PDF as a single file. Your job is simply to open it, copy—or, if you prefer, programmatically extract—the data, and paste or upload it into the sheet I will share. Accuracy is critical; I’ll be double-checking totals, column alignment, and that no rows are missed. Deliverable • A Google Sheet mirroring each table in the PDF, ready for immediate use and further analysis. Acceptance criteria • 100 % of table rows and columns captured. • Original table headings retained. • No extra spacing, merged cells, or forma...

I need a quick data-grab from my FootyStats account. Once I share the login details and the exact list of leagues, simply navigate to each competition and download every available Team statistics spreadsheet. It should come to roughly 250 individual CSV/XLSX files. Only team stats are required—skip the match or player datasets. After all files are downloaded, place them in one organised folder, compress it into a single ZIP archive, and send me the download link or attach it here. Confidentiality is important, so please handle the credentials securely and delete them once the job is done. As soon as I receive and verify the ZIP (correct leagues, no corrupt files), the task is complete.

I have a single website that lists venues and I need a clean spreadsheet pulled from it. Once we start, I will share the exact URL so you can inspect the structure before you begin. For every venue that appears on the site, I want these fields captured: • Venue name • Email address • Phone number • Full physical address Please scrape the entire catalogue—restaurants, event spaces, hotels or any other venue type the site includes—then deliver the data in CSV or Excel format with one row per venue and clearly labeled columns. I’m happy to answer any structural questions about the site up-front and will consider the job complete when the file imports without errors and sample checks match what’s live on the page.

De feed mag dagelijks draaien (maximaal één run per dag) en moet de data leveren in XML-formaat. De extractie moet binnen de grenzen van de verleende toestemming blijven (max. 5.000 producten totaal, geen structurele belasting). Gewenste output & structuur • Dagelijkse XML-feed (eenvoudige, schone XML-structuur; bij voorkeur RSS/Atom-compatibel of custom met <product>-elementen). • Update-frequentie: eenmaal per dag (bijv. ’s nachts). • Verplichte velden per product: • SKU-nr (artikelnummer / internal id / product-id) • Title (volledige productnaam / omschrijving) • Foto (directe URL naar productafbeelding, bij voorkeur hoogste resolutie) • Producttype (bijv. SINGLE_ARTICLE, multipack, bundle, …) • Ca...

Looking for an OpenBullet config engineer to build a config for a social media site. Please apply only if you have experience building OpenBullet configs and describe a couple of your projects built.

I need a reliable, repeatable script that automatically pulls historical and fresh match-result data for the Premier League, La Liga, Serie A, the English Championship and the Bundesliga 1. The workflow should: • visit publicly available sources you identify (official league sites, APIs, or reputable statistics portals), • extract the full-time score, date, home/away sides, venue and any metadata you can pick up (round, referee, attendance), • extract data on goals including the exact time and goalscorer • additional data extracted from match Commentary would be helpful, i.e. substitutions, shots on goal, shots off target, etc. with times will help • normalise club names so they are consistent across all leagues, and • write everything into a single, tidy...

I am preparing a full systematic review that maps all available evidence on intra-renal pressure in endourology. The manuscript must cover three key angles—how pressure is measured during endoscopic procedures, the clinical outcomes linked to different pressure levels, and the complications that arise (along with their management). To give the paper real depth, I want every relevant research design represented: clinical trials, observational studies, and case reports. The core of the work is a rigorous, reproducible search across the major medical databases (MEDLINE, Embase, Cochrane, Scopus) plus grey-literature checks. Peer-reviewed journal articles are my primary focus, but I am open to conference abstracts or book chapters whenever they fill a gap in the data landscape. After th...

All of my property information currently sits in a series of PDF documents and I need it transferred accurately into my Landlord Vision account. For this phase the focus is purely on Property details; tenant and financial records will be handled separately at a later date. The PDFs contain the usual mix of addresses, ownership information, room counts, EPC ratings and other management-related notes. Your task is to extract every relevant field and populate the corresponding sections inside Landlord Vision so that each property is fully set up and ready for day-to-day management. Deliverable • A complete Landlord Vision record for each property, with every available detail from the PDFs entered and double-checked for accuracy. Accuracy and consistency are critical because this dat...

I have between one and five short PDFs—each no more than five pages—that contain mixed data: narrative text scattered among numerical tables. I need every word and number from those files transcribed precisely into the Google Sheet I’ll share with you. The task is simple but accuracy-critical. Please: • Capture all text exactly as it appears, preserving spelling and punctuation. • Enter every numeric value with the same formatting and decimal places so my formulas work instantly. • Follow the column order I provide and flag anything that looks unclear or illegible before you submit. Once the sheet is complete, send it back for a quick cross-check. I value clean, error-free work over speed. Experience with PDF data extraction and Google Sheets will ma...

I have a set of PDFs containing numerical tables that I need reproduced in Google Sheets with absolute accuracy. Each table should appear in the sheet exactly as it does in the source—same column order, same row count, and the original number formatting left untouched. No formulas, conditional formats, or extra styling are required; simple, clean data in standard cells is all I’m after. You will receive the PDFs and an empty Google Sheet. Please transfer every figure, double-check totals, and flag any unreadable characters so I can verify them. When finished, share the updated sheet and a brief note confirming the tables you completed and any anomalies you found. Accuracy and attention to detail are more important than speed, but a prompt turnaround is appreciated.

I have a set of PDFs containing numerical tables that I need reproduced in Google Sheets with absolute accuracy. Each table should appear in the sheet exactly as it does in the source—same column order, same row count, and the original number formatting left untouched. No formulas, conditional formats, or extra styling are required; simple, clean data in standard cells is all I’m after. You will receive the PDFs and an empty Google Sheet. Please transfer every figure, double-check totals, and flag any unreadable characters so I can verify them. When finished, share the updated sheet and a brief note confirming the tables you completed and any anomalies you found. Accuracy and attention to detail are more important than speed, but a prompt turnaround is appreciated.

I need product details captured from a set of websites and delivered in a clean, structured format I can load straight into Excel or a database. The job involves visiting the URLs I provide, pulling every product’s name, price, SKU, description, and any other specifications that appear on the page, then handing everything back to me in a .csv or similar flat file. A lightweight script—Python with BeautifulSoup, Scrapy, or a comparable tool—would be ideal so I can rerun the extraction whenever the catalogue changes, but I’m happy to discuss whether you deliver only the compiled dataset or include the code as well. Please keep the workflow ethical (no site overload, respect where applicable) and ensure the final data set is complete, deduplicated, and readable wi...

I have a batch of scanned documents whose text is crisp enough for reliable OCR extraction. I need that content transferred into a Google Sheet, keeping the same column-and-row layout that appears in the originals. Please use any OCR tool you trust (Adobe, Tesseract, Google Vision, etc.) to capture the text, then spot-check for accuracy before pasting it into the sheet. Deliverables • One Google Sheet mirroring the documents’ table structure • 100 % of the text transcribed, double-checked against the scans for typos or alignment errors Once the sheet matches the documents exactly, the job is done.

I have a set of PDF documents that will be presented in court and I need clear, defensible confirmation of when each file was actually downloaded—not simply when it was first created or last modified. Your role is to extract and interpret all relevant metadata from these PDFs, explain the distinction between creation timestamps and download timestamps, and then put that explanation into an affidavit I can file with the court. Here’s what I need from you: • A thorough, tool-based metadata examination (EnCase, FTK, ExifTool, or similar are fine—whatever you are most comfortable defending under oath). • A concise forensic report that highlights the exact metadata fields proving the download date and shows how those fields differ from basic creation or modificati...

I'm looking for an experienced Epicor Kinetic professional to assist with generating database export reports. Key Requirements: - Proficiency in Epicor Kinetic - Expertise in report generation, for all manufacturing related activities Ideal Skills and Experience: - Experience with Epicor Kinetic database and report development tools - Ability to understand complex data structures and export requirements - Attention to detail and accuracy in report generation - Ability to work with client to determine what data is needed and how it will be used Please provide examples of similar work done and relevant qualifications.

Project Description: We are looking for a freelancer to help with a data research and filtering task using LinkedIn Sales Navigator and some online tools. Workflow: 1. I will provide LinkedIn Sales Navigator filter criteria to find companies. 2. Using those filters, you need to extract the list of companies from Sales Navigator. 3. For each company, collect: - Company name - LinkedIn company page - Website domain 4. Next, check the MX records of each website using the MX checker link that I will provide. 5. If the domain uses Google Workspace (Google MX records) → proceed to the next step. 6. Then check the BIMI record using the BIMI checker link I will provide. 7. If: - MX = Google Workspace - BIMI = Not enabled → Then collect: - CEO LinkedIn pr...

I have between one and five PDF bank statements that need to be transcribed into a single, well-structured Google Sheet. Each transaction must appear on its own row with the following columns preserved exactly as listed in the originals: Date, Description, Debit, Credit, and Running Balance. I’ll share the scans as soon as we start; you’ll open each file, read every line, and enter the figures accurately, double-checking as you go so totals line up with the source documents. Because all statements belong to the same account, you won’t have to separate or label multiple accounts—just keep the order and page sequence intact so the running balance flows naturally. Deliverable: • A Google Sheets file containing every transaction from the provided PDFs, formatt...

I have a curated list of specific company websites and I need an automated solution that extracts complete contact information from each one. The goal is to turn every URL into a clean, ready-to-use lead. WEBSITE : The scraper should capture: • Email addresses • Phone numbers • Mailing addresses • LinkedIn profile link • Location (city / state / country) • First and last name • Occupation / job title • Company name • Company website A well-structured CSV or Excel file is the preferred output, with each field in its own column. I am comfortable with your choice of tech—Python with BeautifulSoup, Scrapy, or Selenium are all fine—as long as the script runs reliably and respects and rate limits where required. Ac...

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Project Title: WhatsApp to Web Portal Automation (Python) - Multi-Recharge Distributor Project Description: I am looking for a developer to automate a repetitive task for my multi-recharge business. I am a distributor for a portal () and I currently manage retailer balance transfers manually via WhatsApp. Current Workflow: Retailers send a payment screenshot and a message via WhatsApp (Format: PAY [ID] [Amount]). I manually log in to the web portal or mobile app. I enter the Retailer ID and the Amount to transfer the wallet balance. I do not verify screenshots instantly; I manually verify bank statements at night. What I Need: I need a "Robot" or an automation script (using Python Selenium ) that can: Trigger: Read incoming WhatsApp notifications. Extract Data: Automatica...

I have a batch of PDFs that contain pure text only, and I need every word lifted accurately into Google so the content can be edited and searched later. You may use Google Docs, Google Sheets, or suggest the most suitable Google workspace tool; the goal is a clean, easily shareable file with the exact wording found in each PDF. Key points to keep in mind: • The source files are text-only—no tables or images to worry about. • Spelling, line breaks, and paragraph order must match the original. • I will provide a shared drive link for the PDFs and expect the completed Google file(s) returned in the same folder structure. If any text isn’t clear in the scan, leave a short comment where clarification is needed rather than guessing.

I need an experienced Python developer to build a commercial multi-client visa appointment automation system for Turkey-based applicants. Full source code ownership is required upon delivery. --- PROJECT BACKGROUND I run a visa consultancy service in Turkey. My clients need visa appointments from VFS Global portals. The current manual process is too slow and I need a fully automated, scalable system that handles 50-100+ clients simultaneously. --- TARGET PORTALS Source: Turkey () Target countries (minimum 6-7): - United Kingdom - Germany - France - Netherlands - Italy - Spain - Sweden System must be modular so new countries can be added later. --- CORE FEATURES REQUIRED [1] MULTI-CLIENT MANAGEMENT DASHBOARD - Register and manage 100+ client records - Per client: Full name, Passpo...

I need a comprehensive dataset of FMCG items that already includes each product’s bar code. You do not need to limit yourself to one category; feel free to pull records from food and beverages, personal care, household items, or any other fast-moving line you have reliable data for—the broader the coverage, the better. Please structure the final file so it can be imported directly into a database. I will adapt it to my own environment, so a clean, well-documented import format is essential (CSV wrapped in a SQL-ready script, JSON dump, or any other approach that drops smoothly into a relational or NoSQL store is fine as long as the mapping is clear). Key fields I must see per record: product name, brand, bar code (EAN/UPC), pack size or net weight, category, and MRP. Extra at...

I have between 11 and 50 digital files—mostly PDFs and spreadsheets—whose content needs to be captured with absolute accuracy. Each file contains a blend of text descriptions and numerical figures that must be transcribed and organized in a clean, structured spreadsheet. The task is straightforward: open each file, extract every piece of information exactly as it appears, and place it in the corresponding columns I will provide. Text fields should preserve original spelling and punctuation, while numbers must be entered without rounding or re-formatting. Consistency across all files is critical; I will run spot checks against the source documents before sign-off. You may use Excel, Google Sheets, or another familiar tool as long as the final output is delivered in .xlsx for...

Project Overview I am seeking an expert Magento 2 Developer with strong data extraction (scraping) capabilities to build out a comprehensive medical supply catalog. The previous developer started a sample set but is no longer on the project. I need a professional to scrape high-volume product data and perform a structured, complex import into my Magento 2 staging site. Scope of Work 1. Data Scraping & Extraction Source: Target website (medical supply industry) to be provided. Requirements: Full extraction of Product Titles, High-Res Images, Long/Short Descriptions, SKUs, and Technical Specifications. Variation Mapping: Correctly identify and link "Simple" products to their "Configurable" parents (e.g., mapping different sizes or packaging options to a single prod...

Job Title: macOS App Data Extraction Specialist (Offline QBank – Reverse Engineering Required) Job Description: We are seeking an experienced freelancer with expertise in macOS application data analysis and reverse engineering to help extract offline data from a medical QBank application installed on macOS. The application allows users to download question banks for offline use, and the required data already exists locally within the app’s container directory on the Mac. However, the storage format appears to use a browser-style database system (e.g., IndexedDB/LevelDB) rather than a traditional SQLite database. Your task will be to analyze the application’s local storage structure and extract the stored QBank content into a clean, structured dataset. Scope of Work: Analy...

I have several batches of information that must be keyed by hand into a pre-formatted Excel workbook. The source files arrive as scanned PDFs and JPGs, and total roughly 3,000 rows per batch. Because everything is entered manually, accuracy is more important than speed: each field has to match the scan exactly, follow the column order I supply, and respect the simple drop-down validations already built into the sheet. Once the file is complete, run a quick spell-check and verify any numerical columns with the SUM I include at the bottom—no formulas or macros beyond that are required. I’ll deliver Batch 1 as soon as we start; if the quality is above 99 % there will be additional batches ready straight after. Deliverables • Finished .xlsx file for Batch 1, fully populate...

I have several batches of information that must be keyed by hand into a pre-formatted Excel workbook. The source files arrive as scanned PDFs and JPGs, and total roughly 3,000 rows per batch. Because everything is entered manually, accuracy is more important than speed: each field has to match the scan exactly, follow the column order I supply, and respect the simple drop-down validations already built into the sheet. Once the file is complete, run a quick spell-check and verify any numerical columns with the SUM I include at the bottom—no formulas or macros beyond that are required. I’ll deliver Batch 1 as soon as we start; if the quality is above 99 % there will be additional batches ready straight after. Deliverables • Finished .xlsx file for Batch 1, fully populate...

I have several PDFs that contain text-only tables, but the layout changes from page to page. I need every piece of text moved accurately into a live Google Sheet, preserving each table’s logical order even when the columns or row counts shift. You will open each PDF, examine the table format, and enter the information into a shared Google Sheet I’ll provide. When a table differs, create or adjust columns so every data point still lands in a clear, searchable spot. Consistency inside the sheet matters more than mirroring the visual look of the original. Deliverables • One Google Sheet, fully populated and neatly formatted • No missing fields or merged-cell artifacts • A brief note flagging any source pages that were unreadable or ambiguous I’ll ...

I have several batches of information that must be keyed by hand into a pre-formatted Excel workbook. The source files arrive as scanned PDFs and JPGs, and total roughly 3,000 rows per batch. Because everything is entered manually, accuracy is more important than speed: each field has to match the scan exactly, follow the column order I supply, and respect the simple drop-down validations already built into the sheet. Once the file is complete, run a quick spell-check and verify any numerical columns with the SUM I include at the bottom—no formulas or macros beyond that are required. I’ll deliver Batch 1 as soon as we start; if the quality is above 99 % there will be additional batches ready straight after. Deliverables • Finished .xlsx file for Batch 1, fully populate...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...

I need a quick-turnaround PHP script that pulls the live gold price from three different publicly accessible websites (no authentication required). The current feed I rely on has gone down, so this will act as an immediate rescue solution. Key requirements • Parse each site’s HTML/JavaScript to extract the latest price. • Merge the three readings into one final value (average or last-in wins—whichever is fastest to implement). • Refresh the value every 30 seconds and write it to a variable or simple cache file I can echo anywhere on my site. • Code must be plain PHP (I edit in Notepad++), well-commented, and ready to drop into an existing page. Timing is critical: I need the working script delivered within 30 minutes of awarding the project. If you...

I have several PDFs that mix paragraphs, small tables, and scattered figures. Every piece of information—both the text and the numbers—needs to end up in a single Google Sheet. The column headers already exist inside the PDFs themselves, so simply mirror those titles and keep their original order. Accuracy and proper alignment are crucial: text stays in text columns, numbers in number columns, and no data is lost or merged. Once everything is captured, share the Google Sheet link back with editing rights so I can review the results immediately.

I have a collection of handwritten sheets that contain pure numeric data—mostly figures such as sales totals, inventory counts, and reference IDs. Every page follows the same column order and field names, so you will be working with a consistent template rather than free-form notes. Your task is simple yet detail-critical: key each number into the matching column of an Excel workbook that mirrors the paper layout I will provide as a sample file. Accuracy is vital because these numbers feed directly into automated reports; even a single misplaced digit creates downstream errors. Deliverables • One Excel file populated with all handwritten entries, kept in the exact column structure I supply. • A quick cross-check sheet (or set of formulas) showing that row and column t...

I need a freelancer to download text data from a single web page. Requirements: - Access the specified web page - Download and format the text data as required - Ensure accuracy and completeness of the data Ideal Skills and Experience: - Experience with web scraping or data extraction - Familiarity with handling and formatting text data - Attention to detail and reliability Please provide samples of similar work and estimated time for completion.

You’ll be working inside a private, password-protected website that I’ll grant you access to once we start. After logging in, I need every profile scanned for four key fields—Name, Email, Phone number, and Location (captured as City and State only). Accuracy matters: no missed entries, no duplicates, and the information must remain strictly confidential. The finished data should arrive in a single, neatly structured Excel workbook. If you prefer to stage it in Google Sheets or supply a quick CSV for interim checks, that’s fine, but the final hand-off must be Excel. Clear column headers (Name, Company, Email, Phone, City, State, Notes) are essential so I can filter and sort easily. I value meticulous web research experience, especially on projects with large record...

I have several PDFs that contain text-only tables, but the layout changes from page to page. I need every piece of text moved accurately into a live Google Sheet, preserving each table’s logical order even when the columns or row counts shift. You will open each PDF, examine the table format, and enter the information into a shared Google Sheet I’ll provide. When a table differs, create or adjust columns so every data point still lands in a clear, searchable spot. Consistency inside the sheet matters more than mirroring the visual look of the original. Deliverables • One Google Sheet, fully populated and neatly formatted • No missing fields or merged-cell artifacts • A brief note flagging any source pages that were unreadable or ambiguous I’ll ...

I have a batch of PDFs that hold only general numerical values. Each file follows the same structure and I already know which headings and column order I want reflected in a Google Sheet. Your task is straightforward: pull every number from each PDF and drop it into my shared Google Sheet under the exact headings I provide. Accuracy is critical—no skipped rows, no transposed digits, no extra formatting. If you prefer OCR tools such as Adobe Acrobat, Smallpdf, or even Google Drive’s built-in converter, feel free, as long as the final Sheet is clean and perfectly aligned to the template. Deliverable: • One Google Sheet populated with all numbers from the supplied PDFs, matching the specified column headings and row sequence. I will supply the PDFs and the Sheet te...

We are building a SaaS MVP aimed at business clients that will let users log in, upload documents, extract the key data with OCR and review the results in a real-time dashboard. The stack is already chosen: React/ for the front end and Laravel (PHP) for the back end, so you can focus on clean architecture rather than tool selection. Core scope • Secure user authentication with role management • Document upload pipeline that triggers OCR and stores the parsed output • A reporting/dashboard view that lets users search, filter, and export the extracted data If interested, please include: • Links to at least two production SaaS platforms you’ve built or contributed to • A short description of your role in the architecture • Relevant experience wit...

I need reliable help transferring mixed text-and-numeric records pulled from several online databases into clean, well-formatted spreadsheets. The source services already let me export to Excel and Google Sheets, so you will work directly in those files—no conversion headaches, just meticulous entry and verification. Accuracy is everything: every value must match the original database entry, fields must stay in the correct columns, and obvious duplicates or anomalies should be flagged for me to review. If you spot small inconsistencies (extra spaces, broken dates, etc.) feel free to tidy them as you go; just note anything that looks questionable. Please be comfortable with Excel functions, Google Sheets collaboration, and basic data-quality checks. Once the first batch is complete ...

I have several PDFs that contain continuous blocks of text which need to be reorganised into a structured Excel workbook. Your task is to extract every data point accurately from the PDFs and place it into clearly labelled columns in Excel so the information is searchable, sortable, and ready for analysis. Accuracy is critical—there must be no typos, omissions, or formatting errors when the data lands in Excel. I will provide the source PDFs and a template showing the exact column order I expect; you simply populate it from the text. Any ambiguous sections should be flagged for my review rather than guessed. Deliverable • One Excel file per PDF (or a single consolidated workbook, if easier) containing all extracted text, formatted to match the template exactly.