Extrakce dat Jobs

I have a collection of PDFs that contain mixed alphanumeric fields laid out in standard form-style boxes (not tables or free-flowing text). I need every field from each PDF moved into an organised Excel workbook, split logically across multiple sheets so the information remains easy to filter and analyse. Your task is straightforward: • Parse every text and number exactly as it appears in the forms. • Preserve field names and original order. • Place related groups of fields on their own worksheet so the file is immediately usable for reporting. Accuracy is critical—no missing characters, no transposed numbers. You are free to automate with Python (camelot, tabula-py, pdfplumber, pandas) or any equivalent tool; all I care about is a clean, verified workbook I can ...

I have a folder full of scanned documents that must be transferred into our custom web-based data-entry system. Each image combines text fields and numeric values—think names, addresses, dates, reference numbers and totals—so you’ll be switching between letters and figures on almost every line. You can work on any modern laptop, desktop or smartphone; the only tool you need is a stable browser to reach the application. I’ll supply log-in credentials, field-by-field instructions and a short screen-share demo before you start. The task is straightforward but the accuracy standard is high. I run periodic spot checks: every field from the scan must appear exactly in the matching field on screen, with no truncations or typos. Once you complete a batch, simply mark it &...

I need property registration details from igrsup.gov.in. The data should be organized in an Excel spreadsheet. Required Information: - Owner's name and address - Property description and location - Transaction history Ideal skills and experience: - Familiarity with - Proficiency in data extraction and Excel - Attention to detail and accuracy

Automation Project Hi, I’m looking to automate a process for a temporary employment agency (ETT) that is currently done manually. The idea is to create an offline/local solution, without relying on external services, with the highest possible level of security and privacy, in order to prevent unauthorized access and potential vulnerabilities. Would you be able to help me design and implement it? I’d also like to know approximately how much it would cost and how long it would take. Proceso que queremos automatizar Actualmente, en la ETT realizamos varios procesos de forma manual que implican introducir los mismos datos en diferentes programas y plataformas. El objetivo es crear un sistema centralizado que permita recibir la documentación, extraer los datos autom&aa...

I need help transferring financial figures that are currently locked inside multiple PDF statements into a clean, well-structured spreadsheet. This is purely for record-keeping, so accuracy is paramount: every number must match the source, columns must align with my existing chart of accounts, and dates must keep their original format. You’ll open each PDF, extract the required transaction details, and then input them row-by-row into both an Excel workbook and a mirrored Google Sheet so I can access the file anywhere. No analysis is expected—just faithful transcription and basic formatting (currency symbols, thousand separators, consistent date style). Deliverables • One Excel file (.xlsx) with all data correctly typed • A Google Sheet containing the same inform...

Saya membutuhkan bantuan untuk mengekstrak seluruh tabel dari beberapa file PDF lalu memindahkannya ke sebuah file Excel (.xlsx). Dokumen-dokumen PDF tersebut berisi campuran teks terstruktur dan paragraf bebas, tetapi fokus saya hanya pada bagian tabelnya. Lingkup pekerjaan: • Mengidentifikasi setiap tabel di dalam PDF, meskipun posisinya bercampur dengan teks tidak terstruktur. • Membersihkan data bila diperlukan (misalnya menggabungkan baris terpotong, memastikan kolom konsisten). • Menyusun output ke lembar Excel tunggal atau terpisah per tabel—mana pun paling logis—dengan header yang akurat. Deliverable akhir adalah file Excel (.xlsx) siap pakai tanpa kesalahan penyalinan. Jika Anda terbiasa memakai alat seperti Adobe Acrobat, Power Query, atau s...

I have completed an initial data-extraction run for a meta-analysis that covers 20 published studies and 14 predefined questions per study. Before I proceed to analysis, I want a medically trained eye to double-check every field. The task is purely verification and double re extraction if required. full articles are available . Scope • Quantitative material sits in structured database entries (one record per study, 20 variables per record). • Qualitative answers are stored in accompanying text documents. • Both sets must be cross-checked against the original articles to confirm accuracy, completeness, and consistency. What you’ll do 1. Open the database, review each numeric and coded field against its source, and flag or correct any mismatch. 2. Read the l...

I already have a reference Chrome extension that automates web-scraping tasks, and I need an exact replica—interface, behaviour, and results must match 100 %. The extension grabs structured data from targeted pages, so every selector, background script, and content script has to mirror the original. I will provide access to the live extension, sample URLs, and the specific data points it extracts; your job is to recreate the same flow under a fresh codebase that is Manifest V3 compliant and free of third-party licensing issues. Because I need this ASAP, please be prepared to start right away, show rapid progress, and hand over a fully functional CRX plus readable source code. I will verify that: • the scraped output is identical to the reference for the sample pages, • ...

I need an experienced web scraping developer to extract the complete public Hacker Database from SoldierX.com. Pages to scrape: Also scrape every individual profile/subpage linked from these index pages. Required fields: Handle/Name, Profile URL, IRL Name, Tags, Full Biography, Facts, Rumors, References, Images/Image Links, Picture Count. Output: Excel/CSV, fully editable. The site may have Cloudflare/ASN restrictions, so please test access before bidding. Public data only; no login/private data required. Important: I will share a sample file showing the exact required format and fields. Please follow that sample exactly. Please bid only if you can test the website and confirm you can extract the full dataset.

I need a skilled web scraper to extract specific data from company websites for marketing purposes. The data required includes: - Names of key personnel: Managing Director, CEO, and other management - Email addresses - Phone numbers - Location Ideal skills and experience: - Proficiency in web scraping tools and techniques - Experience in handling and organizing large datasets - Attention to detail to ensure data accuracy - Ability to deliver the data in a structured format (e.g., CSV, Excel) Please provide examples of previous work and ensure compliance with data privacy regulations.

I accidentally performed a factory reset on my Android phone and lost all of my photos and videos. Unfortunately, I never set up a Google or SD-card backup, so everything sat only in the phone’s internal storage. I need someone experienced with Android forensic-level recovery to retrieve whatever can still be salvaged from the internal memory. Please outline the method or software you plan to use (e.g., ADB, custom recovery, Magnet, , Tenorshare, etc.) and any device prerequisites such as root or bootloader access so I can prepare the phone correctly. Deliverable: a folder containing the recovered image and video files, organised in a readable structure, plus a brief report describing the steps taken so I can understand the process and verify completeness.

I have a bank statement supplied only as a PDF and I need every transaction transferred accurately into a Google Sheet. Please extract the data, place each entry on its own row, and sort the entire sheet by transaction type (debit card, ACH, fees, interest, etc.). Once the list is in place, add a clear summary section that automatically calculates: • the number of transactions for each type • the total amount for each type Simple, reader-friendly formulas such as SUMIF or a pivot table are fine—choose whichever keeps the sheet fast and easy for me to maintain. No other calculations are required. Accuracy is critical, so double-check that dates, descriptions, and amounts match the PDF before handing over the file. I’ll share a blank Google Sheet the moment we...

I’ve got a collection of PDFs that combine formal tables with narrative paragraphs and bullet-style lists. I need every table row and every line of text moved into a single, tidy Excel workbook so that I can sort, filter, and run formulas without wrestling with odd formatting. What has to come across • All tables exactly as they appear in the PDFs, each on its own sheet or clearly separated in one sheet. • All narrative paragraphs and list items placed logically—one sentence or list point per cell works well—so nothing ends up merged or hidden. Formatting expectations Standard Excel formatting is all I’m after: clear rows and columns, default fonts, and numeric values preserved as numbers. No need to replicate fonts, colours, or layout quirks f...

I need the entire list of followers and following from one Facebook page. I’ll supply the exact page URL as soon as we start; that’s the only page involved. The task is straightforward: capture every follower profile and every following profile.

Ho bisogno di un’applicazione che mi permetta di estrarre in modo affidabile tutti i dati relativi ai pignoramenti immobiliari registrati presso le Conservatorie dei Registri Immobiliari italiane. Mi interessano in particolare: • Nominativi dei soggetti coinvolti • Indirizzi degli immobili pignorati • Importi dei pignoramenti • Tribunale presso cui il pignoramento è stato iscritto Il software dovrà: 1. Collegarsi alle banche dati delle conservatorie e raccogliere le informazioni sopra elencate. 2. Consentirmi di avviare l’estrazione manualmente ogni volta che ne ho bisogno. Non è richiesta alcuna automazione periodica. 3. Esportare il risultato in un file Excel ben strutturato, con colonne separate per ciascun campo. 4. ...

Extract Business Data from (Fixed Budget) Description: I need a freelancer to scrape and extract publicly available business data from Manta.com. The fields to be collected are already defined in the attached Excel file. Fields to Extract: Link SIC Code Name NAICS Code Email Breadcrumbs Person Email [1–6] Person Phone [1–6] Person Name [1–6] F Name / L Name Person Designation [1–6] Category [1–3] Address ZIP Code Country Phone Ratings Reviews Description Website Social Profiles (Facebook, Google Plus, Twitter, Instagram, Pinterest, LinkedIn, YouTube) Google Maps Requirements: Accurate extraction of all listed fields Deliver data in Excel/CSV format Completion within 8–10 days Budget: Fixed ₹10,000 INR

I am building a panel dataset of 450 non-financial European companies covering the fiscal years 2019 through 2025. The universe should be drawn exclusively from Refinitiv Eikon or Bloomberg terminals and limited to three sectors: Technology, Healthcare, and Consumer Goods. The core of the job is to pull three financial performance indicators for every firm–Revenue, Net Income, and EBITDA–together with essential identifiers (company name, ISIN, ticker, country, and sector classification). Because the focus is strictly “non-financial,” please exclude banks, insurance companies, and other financial services entities. Preferred format is a clean, well-labeled Excel or CSV file that I can import straight into Stata/R. Please include column headers, year stamps, and y...

I have a set of digital PDFs containing between 100 – 500 customer contact records. Your task is to read each file and transfer every name, phone number, email address, and any listed company details into a single, well-structured Excel worksheet. Accuracy matters more than speed: spellings must follow the source exactly, phone numbers keep their original format, and every row in the sheet should represent one customer. Please work in Microsoft Excel (current version is fine) and keep the layout consistent across all entries. Deliverables • .xlsx workbook with all contacts neatly organised • Basic clean-up: remove duplicate rows and flag anything unreadable in a notes column I can review a small sample first so we’re sure the format is right before you move...

I have a batch of survey-result tables saved in separate PDFs—well over ten in total—that I need transferred into a clean, fully editable Excel workbook. Only the tabular data matters; any images or charts that may exist in those files can be ignored. The finished .xlsx file should mirror each PDF table’s structure (row order, column headings, numeric formatting, text labels) so I can run quick pivot-table analyses without touching up your work afterward. Accuracy is critical: every percentage, score, and comment must match the source exactly, and text fields must remain searchable—not flattened images. You’re free to use tools such as Adobe Acrobat, Power Query, Python/Pandas, or your preferred OCR pipeline as long as the outcome opens natively in Excel 201...

I need a clean CSV extracted from LinkedIn that lists current employees at a single target company who hold Sourcing-related titles. For every profile you capture, include only the essentials: • Full name exactly as it appears on LinkedIn • Total time they have worked at the company (years and months) • Current job title • Location shown on their profile No narrative role descriptions are required—just the four data points above, one row per person. Please use any reliable method you prefer (Python + Selenium, Phantombuster, Sales Navigator export, etc.) provided you comply with LinkedIn’s terms of service and the final file is delivered as a UTF-8 CSV ready for upload to Google Sheets. I will verify by spot-checking at least 10 random entrie...

LOOKING FOR A RELIABLE DATA ENTRY PERSON. FOR DATA ENTRY WORK. mus have fast internet over 500 reviews!

The task is straightforward: take the content of a single PDF document—no more than ten pages—and convert it into a clean, well-structured Excel workbook. I will be using the spreadsheet purely for record-keeping, so accuracy matters more than speed. Every figure, label, and note that appears in the PDF must end up in the correct row and column, ready for easy lookup later. You are free to rely on Adobe Acrobat, OCR utilities, or any other tool that ensures faithful extraction, but the finished file must open flawlessly in modern versions of Microsoft Excel. Deliverables • One .xlsx file that mirrors the source data without omissions or transcription errors • Consistent column headers and cell formatting suitable for long-term archiving Before final hand-of...

I have several PDFs that contain purely textual content. I need every word lifted out of those files and placed into a single Excel workbook, arranged neatly across multiple columns rather than one long column dump. No tables or images are involved—just the text. Please keep the wording exactly as it appears in the PDFs and preserve paragraph breaks where practical, but break the information logically into columns so it is easy to filter, sort, and analyse once in Excel. The final deliverable is an .xlsx file ready for immediate use.

We are looking for a Python developer to develop a small automation script that can automate a repetitive manual business process. Project Requirements: - Develop a Python script to automate the defined workflow. - Read and process data from Excel/CSV files. - Perform basic data validation, cleaning, and transformation. - Apply predefined rules/logic to the data. - Generate an automated output file/report. - Include basic error handling and clear comments in the code. - The script should be easy to run and modify in the future. Ideal Skills: Python Pandas Excel/CSV automation Data processing Process/workflow automation Basic error handling The project is relatively small and should be straightforward for an experienced Python developer. We will provide the detailed workflow, input f...

I’m prosecuting several civil cases pro se and need a fast-moving partner who can tame the evidence pile and translate it into a polished federal-style Complaint. The immediate priority is to download, catalogue, and tag several thousand emails that span multiple lawsuits. Once the messages are sorted into logical batches, I must be able to pull any thread instantly for filing or courtroom reference. Whether we group them by date, sender, or lawsuit category is open for discussion—what matters is that the structure is intuitive and the data is export-ready (PDF format preferred). Deliverables • Fully indexed email repository with searchable tags and sub-folders I’m moving on a tight schedule, so I’ll look for someone who can show progress quickly, commun...

Medical Meta-Analysis / Systematic Review Researcher Needed I am looking for an experienced freelancer to assist with medical systematic reviews and meta-analyses. The ideal candidate should have a strong background in medical/clinical research and previous experience conducting and publishing systematic reviews and meta-analyses. Required skills: * Systematic literature searching and study screening * Data extraction from clinical studies/RCTs * Risk-of-bias assessment (e.g., RoB 2, ROBINS-I) * Conventional pairwise meta-analysis * Statistical analysis using R, Stata, RevMan, or similar software * Assessment of heterogeneity, publication bias, and sensitivity analyses * Preparation of forest plots, funnel plots, and publication-quality figures/tables * Familiarity with PRISMA guidelin...

I have a CSV that holds between 1,000 and 10,000 phone numbers and I need the matching Telegram usernames for each one. Along with the username, please also capture the visible profile name; no other profile details are required. The workflow I picture is straightforward: you read the CSV, query Telegram through an API-friendly library such as Telethon or Pyrogram, respect any rate limits or privacy constraints, and return a clean file (CSV or XLSX) with three columns: phone number, username, and profile name. A brief read-me that explains how to run the script and obtain the same output on my side will complete the hand-off. Accuracy matters more than speed, so build in proper error handling and logging so I can track numbers that could not be matched.

LOOKING FOR A RELIABLE DATA ENTRY PERSON. FOR DATENTRY WORK.

I have up to five PDF files that contain structured financial tables—balance-sheet style figures, quarterly summaries, and similar line-item data. I need every table lifted cleanly from each document and placed into Excel (.xlsx) so the numbers can be filtered, summed, and charted right away. Accuracy is critical: every row, column heading, currency symbol, and negative value must match the source. Please keep each original table on a separate sheet and preserve any sub-totals or notes that appear inside the table area. If a PDF holds multiple tables, name the sheets intuitively so I can find them quickly. You’re free to use Adobe Acrobat, Tabula, Camelot, Python + pandas, or any reliable extraction tool you prefer, as long as the final workbook opens flawlessly in recent...