Datautvinning Jobs

I need a complete historical extract from Betfair covering every horse racing and greyhound racing market between 1 Jan 2022 and 11 May 2026. The file (or files, one per year) must be in CSV format and contain every standard Betfair header, all available price ladders, and a one-minute snapshot of each runner’s odds with an accompanying timestamp column. I am only interested in WIN markets, but I want them from every country Betfair lists—no geographic filtering. You will have to source the data through your own Betfair Historical Data or Streaming API (free from Betfair) subscription; without an active key this task cannot be completed. To confirm you have access and the structure matches what I expect, send me a small sample (a dozen rows is fine) before we move to full extr...

I need a self-contained Python workflow that can read roughly 20,000 company names from an Excel sheet, run each name through Google, locate the official website or contact page, and then push that URL to ScrapeGraphAI’s Extract endpoint. Using the prompt, JSON schema and API key I will supply, the script should capture emails and mobile numbers and write them back to a new Excel file. You are free to build the browser layer with Selenium, Playwright, or any similar headless solution—whatever delivers the best stability. A straightforward XLSX output with sensible columns (company, website, email, phone) is perfectly fine for me. I am unsure how often Google will trigger CAPTCHA at this scale, so please include your recommended mitigation strategy (delays, rotating proxie...

I have already drafted my reply to a series of allegations. Now I need that reply backed up by hard evidence from five months of WhatsApp conversations that I have saved as standard WhatsApp export files (the .txt file plus any accompanying media folder). Your task is to comb through those exports, locate every exchange that reinforces, clarifies, or disproves each point in my response, and then pull out precise supporting quotes. I am interested in context, so please include the immediate messages before and after each quote when it helps show tone or intent. To keep everything clear, I would like a clean reference document—Word or Google Doc is fine—organised by allegation. Under each heading list the date-stamp, participant names (if shown in the export), and the excer...

Hi, I need a high-quality LinkedIn Sales Navigator extraction of HR Directors (DRH) from French mid-market companies (100 to 300 employees) in 6 specific sectors. The leads will be used for highly personalized B2B outreach — quality matters far more than volume. ═══════════════════════════════════ DELIVERABLE ═══════════════════════════════════ A clean CSV (or Google Sheet) with exactly 100 qualified contacts, following the strict filters below. ═══════════════════════════════════ SEARCH FILTERS (Sales Navigator) ═══════════════════════════════════ PEOPLE: - Geography: France - Current job title (one of): • "DRH" • "Directeur des Ressources Humaines" / "Directrice des Ressources Humaines" • &...

I need an AI agent to search web pages and perform the following tasks: - Extracting data - Summarizing content - Identifying specific keywords The AI agent should handle both text and images. The extracted data should be saved in XML format. Ideal skills and experience: - Proficiency in AI and web scraping - Experience with data extraction, summarization, and keyword identification - Familiarity with XML data format - Ability to process and analyze text and image content

We need somebody to: 1. extract target procurement line items from Spanish documents; Number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; • : tools, ass...

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

I need a project submission for my office interview for a business analytics role. The project should focus on sales data analysis using SQL, MS Excel, and Power BI dashboards. Requirements: - Analyze sales data from provided CSV files - Create a Power BI dashboard to visualize key insights - Use SQL for data extraction and manipulation - Utilize MS Excel for data analysis and calculations Ideal Skills and Experience: - Proficiency in SQL, MS Excel, and Power BI - Strong analytical skills, especially in sales data - Previous experience in business analytics projects - Ability to create detailed and clear project proposals Please include a detailed project proposal in your application.

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

I need a straightforward Python script that reliably pulls text content from websites I will specify once the project starts. The focus is strictly on text—no images or media files—so the routine should locate, extract, and save headings, paragraphs, or other copy in a clean, structured format such as CSV or JSON. Because the target sites may vary, the code must be written with easy-to-tweak selectors and robust error handling. Please use widely supported libraries (requests, BeautifulSoup, or Scrapy if you prefer) and include polite scraping practices such as user-agent rotation, rate limiting, and graceful retries on common HTTP errors. Deliverables: • A well-commented .py file ready to run from the command line • A brief README explaining any required packages...

I have an online membership directory with roughly 90 records. You will receive the URL, the username / password, and an Excel file that already contains the exact column headings I need. Your job is straightforward: – Sign in to the site to confirm you have access. – Copy each member’s name, organization, email, city, and state exactly as displayed. You will have to click on the name to get the city, state details. – Paste this data into the matching columns of the spreadsheet. Before I award the project, please return one completed sample row so I can be sure we’re on the same page about process. Accuracy is more important than speed, but I expect the final sheet to be clean, consistently formatted, and free of typos. If any field is blank on ...

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

We need a freelancer to: 1. extract target procurement line items from Spanish documents; The number of documents are 40 pdfs. 2. clean and normalize descriptions, quantities, units, brands, models, and technical attributes; 3. identify comparable supplier products using the approved source environment; 4. extract prices, currencies, package sizes, and source information; 5. convert prices into standardized unit prices; 6. flag uncertain matches and cases where no reliable match is available; 7. submit a reproducible data file and workflow documentation. Deliverables are: • : one row per procurement item and candidate supplier match; • : a machine-readable version of the same data; • , , or equivalent reproducible workflow, when automation is used; ...

I need a tool to convert text from PDFs into a JSON format structured as questions and answers. Requirements: - Input: PDFs with text content - Output: JSON structured as QA pairs Ideal Skills and Experience: - Proficiency in PDF parsing and JSON formatting - Experience with similar conversion projects - Attention to detail and accuracy Please include relevant experience in your application.

I need a reliable script that can harvest contact details from a set of company websites I will provide. The information I’m after is any publicly listed email address, phone number and physical address that appears on those sites. Please build the scraper in a way that I can rerun it easily—Python with BeautifulSoup, Scrapy or Selenium is perfect as long as the code is well-commented and the output is clean. I prefer a single CSV (or JSON if you feel it suits the data better) with one row per company and distinct columns for each field you capture. Accuracy and completeness matter more than sheer speed, so let me know how long you’ll need once you see the list of domains. If you have questions about structure or formatting, ask before you dive in.

Please read carefully. Start your bid with the word "TECDOC2026" so I know you are a real person, not an auto-bidding bot. Hello! I am looking to purchase a complete and recent TecDoc database exported in MySQL format (.sql) to integrate into a PrestaShop auto parts store. I am NOT looking for monthly API subscriptions, scrapers, or old databases (like the 2019 versions found on GitHub). I need someone who already has a recent archive and is ready to sell/transfer it. Mandatory Requirements: Version/Year: Must be at least Q3/Q4 2025 or Q1 2026. It must contain recent car models. Languages: Must include item descriptions and categories in Romanian (or at least English). Cross-References: Must contain the tables mapping Original Equipment (OE) codes to Aftermarket (AM) manufa...

我需要一套用 Python 撰寫的高效監控程式，能在 1 秒內偵測下列平台有無新商品並立即推送「應用內通知」： 1. 2. 3. 4. 5. 6. Carousell 各地區（以關鍵詞搜尋為主） 核心需求 • 監控方式：根據我預設的關鍵詞搜尋最新上架商品，而非分類瀏覽或固定 URL。 • 通知形式：程式本身要帶有推送模組，偵測到新貨即時（sub-second）在應用內彈出提醒。 • 效能目標：從平台出現商品到我收到提醒，延遲 ≤1 秒。實務上可能需要利用非公開 API、WebSocket、輪詢優化、反爬機制繞過等手段。 • 維護性：結構化的程式碼（含註解），外部設定檔可調整關鍵詞與推送接收端。 • 交付項目： – 完整原始碼與依賴列表 – 安裝與部署說明（Linux 或 Docker 環境皆可） – 簡易使用手冊，示範新增/修改關鍵詞、查看通知歷史 – 一週測試期內的錯誤修復 理想技能組合 • 精通 Python 3 與 aiohttp、requests、Selenium、Playwright 或同類庫 • 熟悉即時訊息推送（例如 WebSocket、、Firebase Cloud Messaging 等） • 有繞過風控、反爬或非公開 API 刮取經驗 • 能針對多語言站點處理編碼、代理、Captcha 等問題 若你已經做過類似秒級監控，請直接附上示範或績效數據。我會根據方案可行性、效能測試結果與程式碼可讀性決定合作。期待你的解決方案與聯絡方式，謝謝！

Need Experienced Playwright/Python Developer to Fix Snapchat Web Chat Archiver (Text Extraction + Virtualized DOM) Project Overview I’ve built a personal Snapchat Web backup/archive tool using Python + Playwright. The tool already handles login persistence, scrolling, media extraction, media downloading, checkpoints/resume, transcript generation, and anti-bot delays. The idea of the script is to open chromium, select a chat and download all the media and texts within the chat and save it as a html file which can be viewed in the chat format. Current status: • Media extraction/download works correctly • Browser automation works correctly • Login/session persistence works correctly • Infinite upward scrolling works partially • HTML transcript generation work...

We are seeking a Venue Operations & Promotion Data Entry to own the lifecycle of "Promotion Creation" within our admin portal. You will be responsible for translating nuance-heavy promotion details (casino flyers, promotion rules, and venue calendars) into clean, actionable data fields. You will manage the "Venues" section of our platform, ensuring that every promotion listed is 100% accurate, properly categorized, and audited for logic errors. Key Responsibilities Data Extraction & Analysis: Review venue images, PDFs for all nuances (e.g., specific dates/times, qualifying criteria, "Expected Value" variables, and fine-print restrictions). Portal Entry & Management: Accurately input promotion details into the admin portal fields, ensuring prope...

I need advanced, iOS-level help to retrieve a single WhatsApp message that I wrote and then deleted on my iPhone. No usable backups exist—WhatsApp’s automatic iCloud backup ran after the deletion—so the chat history stored in iCloud, iTunes, Google Drive, etc. does not contain the message. I have already tried the usual consumer tools (iMobie PhoneRescue and Tenorshare UltData) and they were unable to locate the record. Because of that, I’m looking for a specialist who works with deeper forensic techniques: file-system or physical acquisition, encrypted SQLite carving, or professional suites such as Cellebrite, Oxygen, Magnet AXIOM, or comparable proprietary methods. The phone is on the latest iOS version, not jail-broken at the moment, but I’m willing to f...

Necesito apoyo para preparar un breve taller práctico en QGIS que cubra dos objetivos muy concretos sobre el área conurbada de la Ciudad de México. 1. Climograma • Descargaremos las capas raster de precipitación y temperatura de Worldclim con la resolución más alta disponible. • Seleccionaremos un punto representativo del Valle de México y extraeremos la serie mensual para elaborar el diagrama de clima (precipitación vs. temperatura). • El resultado debe entregarse como gráfico listo para incluir en presentaciones, acompañado de los archivos GeoTIFF ya recortados. 2. Mapa de contaminación • Procesaremos o interpolaremos mediciones de PM2.5 para generar un raster continuo s...

I have several PDFs that contain mixed content—tables, free-form text, and numbers—spread throughout each document. I need every relevant piece of information extracted and transferred into a single Excel workbook. Inside that workbook, keep everything on one sheet but break it up logically into clearly labeled, categorized tables (for instance, separate table blocks for financial figures, narrative notes, charts’ data points, etc.). Beyond basic extraction, I will also rely on you to embed custom formulas or functions where they add value—totals, averages, variances, lookups, or any other calculations that make the dataset immediately useful once I open the file. Deliverable: • One .xlsx file containing all converted data, organized as described, with ...

I need to mirror our entire Python-based intranet that is still sitting on its original host, then refactor it with the help of Claude or Codex so it is easier to maintain and extend. The work starts with programmatically harvesting every layer of the running site—pages, APIs, and any hidden endpoints—and reconstructing the full stack in a local sandbox. Once everything is safely pulled down, the goal is to modernise the codebase and introduce AI-assisted capabilities while keeping day-to-day use strictly internal to our staff. Your first milestone will be a clean, verifiable extraction of: • Source code • Backend database • System configurations After that, I’ll lean on your Python expertise (BeautifulSoup, Requests, Selenium or similar) plus dire...

I have a straightforward but time-sensitive task: pull text snippets and their paired images from a set of online pages and PDFs I will share, then organise everything neatly for later use. Here is the flow I have in mind: • For each source I send, copy the required text exactly as it appears (no rewriting) into a spreadsheet column. • Download or capture the matching image, save it in a numbered folder, and reference that filename beside the text row. • Keep formatting consistent and double-check that every image has a text match and vice-versa. Google Sheets or Excel is fine for the log, and common formats such as JPG/PNG for the images will work. If any page is a PDF that needs OCR, tools such as Adobe Acrobat, Tesseract, or similar are acceptable—use w...

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I have a set of Word documents containing pure text data that needs to be transferred accurately into a structured format. All files arrive as clean, digital .doc/.docx sources—no handwriting or scans involved—so the focus is speed, consistency, and zero transcription errors. Here’s what I need: • Open each Word file and extract every relevant text field exactly as written. • Paste or type that content into the spreadsheet, database, or web form I provide (we’ll confirm which before you begin). • Preserve paragraph breaks, headings, and simple bold/italic emphasis where they appear so the information stays intelligible. I’ll supply a small sample so you can demonstrate your approach; once approved, you’ll receive the remaining bat...

i need to scrape all product datas from this site pls note this site have blocking issue so you should use your proxy to scrape the datas attached sample template i need the just text datas

Tender247 Daily Scraping Tool — Build Specification Source • Website: • Authentication: [Specify login credentials / API access] Step 1: Extract Tenders • Pull all active tenders posted on yesterday’s date • Capture: Tender ID, Title, Department/Issuing Authority, Location, EMD Amount, Tender Value, Submission Date, EMD Date, Document Link Step 2: Apply Filters • Remove tenders with EMD amount between ₹1 and ₹1,00,000 • Keep tenders with EMD blank/not specified OR greater than ₹1,00,000 • Remove all bank tenders (RBI, NABARD, SBI, PNB, HDFC, ICICI, Axis, Kotak, Canara, BoB, cooperative banks, etc. — keyword match on issuing authority) Step 3: Sort • Sort by EMD Date ascending (earliest deadline first) Step 4: Append to Goog...

I have one or more PDFs that I need turned into clean, editable text. All I’m after is the raw textual content—no tables, images, or design layout—just the words exactly as they appear, error-free and in the original reading order. When you apply, please point me to past work where you carried out similar PDF-to-text extractions so I can quickly gauge your accuracy and formatting standards. If you automate the process with tools such as Adobe Acrobat, OCR engines, or custom scripts, that’s fine; just be sure the final output is copy-ready and faithful to the source. Deliverables: • Complete text extracted from each supplied PDF, delivered in .docx or .txt format (your choice) • Basic proofread to eliminate obvious OCR mistakes I’ll send the ...

I have a set of Word documents containing pure text data that needs to be transferred accurately into a structured format. All files arrive as clean, digital .doc/.docx sources—no handwriting or scans involved—so the focus is speed, consistency, and zero transcription errors. Here’s what I need: • Open each Word file and extract every relevant text field exactly as written. • Paste or type that content into the spreadsheet, database, or web form I provide (we’ll confirm which before you begin). • Preserve paragraph breaks, headings, and simple bold/italic emphasis where they appear so the information stays intelligible. I’ll supply a small sample so you can demonstrate your approach; once approved, you’ll receive the remaining bat...

I need the text from a collection of printed documents keyed into a clean, well-structured Excel spreadsheet. Every word on the page should appear exactly as it does in the originals, with each logical section placed in its own column so the file is ready for simple sorting and filtering the moment I receive it. Accuracy is far more important than speed, so please build in your own proofreading pass before submitting. You’ll be working only with text; no numbers or calculations are involved. Scanned PDFs of the source pages will be supplied in clear resolution, and you can use any combination of manual typing, OCR, or data-capture tools as long as the final spreadsheet is flawless. Deliverable: • One .xlsx file containing the fully transcribed text, laid out in columns that mi...

My current product catalogue sits in a single PDF file that covers roughly 51-200 SKUs. I need it transformed into the exact structure the GeM India portal accepts, then uploaded so every item goes live without errors. Here is what I expect: • Extract all product data from the PDF and re-enter it into the GeM-approved template, including images, GST details, specifications and pricing. • Adjust formatting or naming wherever the portal has mandatory fields, variants or character-count limits. • Create the bulk-upload sheet, run the validation utility and fix any red-flagged rows. • Upload the finished sheet, attach required documents and confirm each listing is visible on my GeM dashboard. Deliverable is a fully approved catalogue on the GeM portal; I only sign...

PROJECT BRIEFING – VEHICLE DATA COLLECTION AND IMAGE PROCESSING PROJECT GOAL We are building a structured vehicle database for an internal AI showroom simulation and market comparison system. The goal is to create a clean, consistent dataset ready for direct website use. SCOPE OF WORK 20 buses 20 tractors 5 wheel loaders 5 excavators 5 large tractor trailers All vehicles must be located in Europe, excluding Germany. Model years only 2024, 2025, 2026. No duplicates. BRANDS Buses: Mercedes-Benz, MAN, Setra, Volvo, Scania Machinery: John Deere, Fendt, Case IH, New Holland, Massey Ferguson DATA REQUIREMENTS (CRITICAL) No incomplete listings are allowed. Technical specifications are mandatory for every vehicle. Full technical descriptions must be available. If technical data is missi...

I need a small Python utility that can visit a couple of CAD-focused websites and pull down detailed product information in a single pass. The job is one-time, so I’m not looking for scheduling or cron integration—just a clean script I can rerun locally whenever I want. Key details I have to capture per product include the title, part number, main specs, and any listed price or download link. Most pages are straightforward HTML, but a few rely on lazy-loaded sections, so the solution may call for Requests + BeautifulSoup in the simple cases and Selenium or Playwright where JavaScript gets in the way. I’ll provide the shortlist of URLs once we start. Please write clear, well-commented code, keep third-party dependencies to a minimum, and organise output in both CSV and J...

I need an experienced freelancer who can blend data extraction with practical search-engine know-how. First, please scrape customer reviews from a leading e-commerce site and deliver them in a clean, well-structured format (CSV or JSON). If you believe collecting product details or pricing data would add meaningful insight, let me know and we can expand the scope. With those insights in hand, I also want my own company website fine-tuned for stronger search performance. My priority is to improve conversion rates, so every recommendation should tie back to turning visitors into customers rather than just chasing higher traffic numbers. Key deliverables: • Scraped dataset of customer reviews, free of duplicates and noise • Brief data summary highlighting recurring pain points,...

I lost my mobile phone and now how access and recovery my whatsapp chat data

Job Description: I am looking for a freelancer to convert data from a PDF file into an Excel spreadsheet. The task includes: Extracting all data from the attached PDF file Entering the data accurately into an Excel sheet Using the provided Excel template for formatting and structure Applying the logos included in the PDF into the Excel file where required Ensuring accuracy, clean formatting, and consistency Attention to detail is very important to maintain data quality and proper layout. Requirements: Strong Excel skills Experience in data entry and PDF conversion Ability to follow instructions carefully High accuracy and attention to detail Notes: Files are attached (PDF + Excel template) This is a simple but detail-oriented task Potential for future work if completed well

I have a collection of text-based records that needs a thorough clean-up. The job is focused on removing duplicate entries and bringing every remaining line into a consistent, well-defined format so the file is ready for downstream analysis and reporting. Here is what I expect from you: • Deliver a single, duplicate-free dataset in the original file type (CSV/Excel/Google Sheet). • Apply a uniform text standard (capitalisation, spacing, punctuation, date or code patterns where relevant) across every record. • Provide a brief change log or summary so I can see what was altered or removed. No numerical fields or mixed media are involved—just plain text. You are free to use your preferred tooling (Excel functions, Python/pandas, OpenRefine, etc.) as long as the fi...

I need to fetch the same data from two different Excel files. Requirements: - Experience with Excel - Ability to write detailed project proposals Please include a comprehensive project proposal in your application.

Ich suche einen sofort verfügbaren Freelancer, der Erfahrung mit Datenextrahierung, Datenaufbereitung, Kategorisierung und CRM-Datenpflege hat und innerhalb von 5 Tagen einen ersten nutzbaren Stand liefern kann. Im Fokus steht nicht primär die Entwicklung eines komplexen Agenten, sondern die saubere operative Bearbeitung und Strukturierung von Daten aus mehreren Quellen. Aufgaben: - Dateneingabe auf der BALM-Seite (Statisch anhand URLENCODED Text) - Extrahierung der dort auffindbaren Daten in eine eigene Tabelle / strukturierte Datenbasis - Kategorisierung der extrahierten Datensätze nach individuellen Regeln - Abgleich mit bestehenden CRM-Daten - Prüfung, Bereinigung und Ergänzung vorhandener CRM-Datensätze - Dokumentation der Logik und Vorgehensweise, dami...

I have a batch of paper documents—everything from printed forms to numerical reports—that must be digitised in a single, well-organised Excel workbook. The pages contain mixed data; some rows are purely text (names, addresses, notes), while others include numbers such as quantities, dates, or totals. You will read the papers (I’ll send high-resolution scans as PDFs) and key every field into the spreadsheet template I’ll provide. Please keep original spelling, punctuation, and number formats unless a value is obviously unreadable; flag anything uncertain in a separate column. Accuracy is critical, so double-check totals and ensure columns align with the headings in the template. Light formatting (wrap text, set column widths, basic data validation) is appreciat...

More details: Is this project for business or personal use? Personal What information should successful freelancers include in their application? Detailed project proposals How soon do you need your project completed? ASAP

I have a collection of PDFs whose tables combine normal text with embedded images, so simple copy-and-paste will not do. Your task is to pull every table out of each file, run OCR where the cells are only images, and populate a custom-designed SQLite database. We will agree on the schema up front so the final .sqlite file lines up with my downstream reporting tools. Accuracy is key: numbers must keep their formatting, column order must stay intact, and any footnotes that belong to a row need to be captured in a linked field rather than discarded. Whether you prefer Python with Camelot, Tabula-py, pdfplumber, Tesseract, or another extraction stack is up to you—as long as the workflow is reproducible. Once all conversions are complete, send me the finished database along with the s...

I have a collection of digital documents—mainly PDFs and a few Word files—that need to be transcribed into a single, well-organized Excel spreadsheet. The content is a mix of text descriptions and numerical figures, so careful attention to formatting (dates, currency, percentages, plain text, etc.) is essential. Your task is straightforward: read each file, extract every required field exactly as it appears, and place it in the correct Excel columns I will provide. Accuracy is critical; I’ll be cross-checking random samples against the originals. A quick turnaround is appreciated, but not at the expense of precision. Deliverable: • One fully populated Excel workbook matching the source documents in both content and structure. If you’re comfortable workin...

I need between 300,000 and 600,000 clean, U.S.–based finance contacts extracted from ZoomInfo, LinkedIn, Apollo, or any combination of these platforms that produces the best-verified data. The list must heavily emphasize people who actually move money inside an organization—specifically Accounts Receivable, CFOs, and Accounting Managers. If you can also include solid records for Accounts Payable staff and Controllers without compromising quality, add them in. Here’s what I’m expecting once the scrape and enrichment are complete: • A single CSV or Excel file containing first & last name, current title, company, verified work email, direct phone (when available), city, and state. • All entries U.S. only, with duplicates removed and obvious catch-all...