Data Extraction Jobs

Title: Build a Local B2C Homeowner Lead Alert Tool (Fixed Budget: $200) Project Overview: I am a roof restoration and rejuvenation contractor looking for an expert Python developer to build a lightweight, custom lead-generation tool that I can run locally on my own Windows/Mac computer. The goal of this tool is to identify local B2C homeowners who need roof work, roof maintenance, or want to extend the lifespan of their shingles. Because many homeowners look for cost-effective alternatives to a massive $15,000 roof replacement, my business offers roof rejuvenation treatments. This tool will help me intercept homeowners on public forums who are complaining about aging roofs, budget constraints, or minor leaks, so I can offer them a restoration solution. I want to own this script entirel...

I need an experienced digital forensics professional to perform a full data-recovery engagement. The primary goals are to: • Retrieve email, facebook messages and whatsapp conversations (and all attachments) files and message logs to/from two people that were saved in a cloud workspace Throughout the process I want forensic-level care taken so that every recovered item is admissible as evidence if needed. This means using industry-standard tools such as EnCase, FTK, or X-Ways (or equivalent), documenting each step, and generating a concise chain-of-custody report alongside the recovered data. Deliverables 1. Recovered data in its original hierarchy, supplied on an encrypted drive or via a secure download link. 2. A brief forensic report that outlines acquisition methods, hash ...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

I have a stack of PDFs that need to be turned into a single, tidy Excel spreadsheet. Every value in those files must be transferred exactly, then any duplicate rows removed, and finally the sheet formatted according to the guidelines I will send you the moment we start. The workflow is straightforward but precision-heavy: open each PDF, copy the required fields, paste them into the correct columns, run the de-duplication step, and give the file a quick visual pass to confirm totals, dates, and text all line up with the source. I will check the finished workbook against my guideline sheet, so please be confident with Excel functions such as conditional formatting or simple lookup formulas that help catch errors fast. Turnaround time matters almost as much as accuracy, so let me know h...

I need an Oracle HCM Cloud reporting specialist who can build and fine-tune custom BI Publisher reports and HCM Extracts for the Core HR and Talent Management modules now in production. I already have functional requirements and sample layouts; what I’m missing is the technical horsepower to translate those into performant, secure, and easy-to-maintain deliverables that run seamlessly in our cloud environment. The work involves: • Designing data models, SQL, and fast-performing queries against HCM public views • Creating RTF/Excel/PDF templates, parameter logic, and bursting where needed • Developing HCM Extract definitions that supply downstream systems with clean, validated data • Applying role-based security so only authorised users can run or schedule e...

I need a reusable script (ideally in Python, but I’m flexible) that can harvest just two fields from Instagram user profiles—username and bio. There’s no hard cap on volume; the tool should comfortably scale from a few test profiles right up to any larger list I feed it later. Core behaviour • Log in to a supplied Instagram account, respect or work around rate limits, and rotate proxies if needed. • Accept a plain list of profile URLs or @handles, visit each one, and capture the username and bio text. • Export the results in a structured format such as CSV or JSON, ready for analysis. Deliverables 1. The full, well-commented source code (Python, Node, or your preferred stack). 2. A short README covering setup, required libraries, and run instr...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

I am looking for someone to find details for a Private Ragnarok Server. I want to use OpenKore to bot in private servers 1. Server connection info IP address or hostname of the login server Port number (often 6900 for login, but varies) Master server version / packet version the server uses (this determines which / server type settings you need) 2. Server type in OpenKore's ip (server IP) port master_version and server_type (these tell OpenKore how to interpret packets — critical to get right) recvpackets file matching the client version the server runs 3. Client version / Private servers usually specify which official client version they're based on (e.g., 2018, 2020, RE:START, etc.) OpenKore needs the matching for that version, usually in tables/<serverfolde...

Je souhaite extraire uniquement les questions visibles des images que je fournirai. Les livrables incluront un document texte (au format Word) où toutes les questions seront bien organisées et structurées. Idéalement, chaque question sera catégorisée si des indices sont visibles sur l'image. Par exemple : - Type des fichiers sources : contenu éducatif, formulaires officiels ou examens. - Résultat attendu : fichier texte lisible avec mise en page propre. Merci de me signaler tout problème potentiel avant de commencer.

I have a collection of PDFs that hold mixed text and numeric information laid out in paragraph form rather than neat tables. I need every word and figure transferred into a single Excel workbook while keeping the look and feel of the original documents intact—column order, line breaks, and any bold or italic emphasis that appears in the source should be mirrored as closely as Excel allows. Accuracy is crucial because the file will be used for further analysis once imported. As you copy the content, please watch for hyphenated line breaks, ensure numbers remain numbers (not text), and double-check that headings and sub-headings follow the same hierarchy they have in the PDF. The final hand-off is simply the completed Excel file, clean and ready for immediate use. If you have questio...

I need a freelancer to extract job records data from the Jobber application using their APIs. The extracted data will be used to generate reports. Requirements: - Job status and notes - Assigned employees - Date and time details - Visits Ideal Skills and Experience: - Experience with Jobber API - Proficient in API data extraction - Strong report generation skills - Familiarity with handling job records data

We are looking for an experienced data recovery specialist to perform a bit-by-bit recovery of an SD card that contains important video footage.

I have set of images. Need to extract only questions and put in doc file. i have format that need to be followed.

im looking for Data of all Nursing Home,Care homes, Supported living locations and any other Care settings in this sector, with client name, address, email addresses and Registered manager. current and in date. i am aware of the cqc data which comes in 2 files and an api tool which lists all cqc business in England. one has further details of Regsitered Managers. To me the key information needed is ithin these 2 excel sheets, the biggest missing information is the phone numbers, email of regsitered manager and the main cmpany email address. we will be targeting emails. so part of this will be to test data via email to both registered manager and company email, we will get bounce backs we expect there is on the one spreadsheet cqc direcotry servcie types in column G, however the are link...

I've got two PDF files that each contain straightforward tables—no merged cells, multiple headers, or other tricky formatting. I simply need every table lifted from the PDFs and placed into an Excel workbook, keeping the exact same column order and layout they appear with now. Accuracy is the priority: every number, label, and heading must match the source. The final deliverable is a clean .xlsx file I can open and use right away, with the data arranged exactly as it is in the PDFs. No re-formatting or design tweaks required—just a faithful, error-free transfer.

I need a reliable professional to convert large sets of numbers from printed documents into a clean digital format. The job is purely numeric data entry: no text, images, or general transcription—just figures that must be keyed in accurately. My workflow is simple. You will: • Read the figures on the hard-copy pages I scan and send to you. • Validate any unclear or missing numbers against a publicly available online database I will link you to. • Enter the final, verified values into an Excel or Google Sheets file using the exact column structure I provide. Deliverables: 1. A fully populated spreadsheet with 100% of the numeric values from the source pages, formatted exactly as my template shows. 2. A brief log noting any entries that required verification in the pub...

I have a sizeable catalogue of physical goods that needs to go live on my store built with Hostinger Website Builder. All of the information—product names, descriptions, prices and the associated images—is currently locked away in PDF documents. Your job is to extract that data, format it so the builder’s bulk-import tool accepts it, upload everything, and make sure each listing looks clean and consistent once published. Deliverables • A completed bulk-import file containing product name, description, price and image links for every item • All images uploaded, properly assigned and displaying at optimal resolution • A quick spot-check report confirming that random listings render correctly and prices match the source PDFs If you already know the quirk...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

I need help bringing legacy clinical information into my current CharmEHR account. All of the source material is sitting in unstructured PDF files that came out of the previous system, and I want those documents turned into live, searchable data inside CharmEHR—not just attached scans. The scope covers three clear data sets: • Patient records (demographics, clinical notes, labs, imaging). • Appointment history (dates, providers, visit notes). • Insurance information (active and historical policies). I will supply organized folders of the PDFs plus a data-field map drawn from CharmEHR’s import specifications. Your job is to extract the relevant fields, transform them into the format CharmEHR accepts, and load them through its import tools or API. A small p...

**Title:** TallyPrime 7.1 → Automated Excel / Power BI Business Intelligence Dashboard (ODBC/XML API) **Project Description** I am looking for an experienced Power BI / Excel / SQL / Business Intelligence developer who has worked with **TallyPrime** integrations. The objective is to build an **automated Business Intelligence system** using Tally data. The solution should connect directly with **TallyPrime 7.1** using **ODBC or XML API** (whichever is most suitable) and should refresh automatically without requiring repeated manual exports. ### Scope of Work * Connect TallyPrime through ODBC or XML API. * Extract relevant masters and transaction data. * Build a clean data model. * Create an automated Excel workbook and/or Power BI dashboard. * One-click refresh of all reports. #...

I already have the raw HR analytics dataset from Kaggle sitting in a MySQL database, populated each time my existing Python ETL script runs. The broad pipeline works; now I want to drill down on one thing only: how entry-level attrition is evolving over time. Here’s what I need from you: • A clean, well-commented SQL query (or set of queries) that calculates monthly and quarterly attrition rates for entry-level employees. • A short Python (pandas) routine that executes those queries, pushes the results to an Excel file, and time-stamps each export so historical runs are preserved. Acceptance criteria 1. SQL returns the correct counts and percentages when spot-checked against sample rows in MySQL. 2. The Python script runs from the command line without manual ...

I have a collection of text-based PDFs that I need transferred into Excel. Each PDF should be captured exactly as written—no data left behind—but the final workbook only needs a clean, simple table for every document, not the original page layout. Accuracy and consistency are vital. I will supply the PDFs, and I’d like one worksheet per file unless you have a better idea for keeping everything organised. When you finish, I should be able to search, filter, and sort the text easily. Please let me know your expected turnaround time and any questions you might have about the documents before you begin.

I have a collection of text-based PDFs that I need transferred into Excel. Each PDF should be captured exactly as written—no data left behind—but the final workbook only needs a clean, simple table for every document, not the original page layout. Accuracy and consistency are vital. I will supply the PDFs, and I’d like one worksheet per file unless you have a better idea for keeping everything organised. When you finish, I should be able to search, filter, and sort the text easily. Please let me know your expected turnaround time and any questions you might have about the documents before you begin.

I need a complete, verifiable list of every Ethereum wallet that has ever transacted directly with a single, specified address. My goal is simple: extract the “address IDs” only—no amounts, timestamps, or hashes—then deliver them in a clean, deduplicated list (CSV or JSON is fine). You are free to leverage Etherscan, Arkham Visualizer, , or any other reliable on-chain parsing method, as long as the logic is reproducible. A short script or notebook that I can rerun later to refresh the list will be part of the hand-off. Acceptance criteria • Exhaustive coverage of all historical transactions to and from the target address on Ethereum mainnet • One row per unique counterparty address, no duplicates • Delivery of both the list file and the code/m...

I’m building an AI-powered service that can read batches of PDFs, Word files, and spreadsheets, then instantly surface the information I ask for. The core functions I need are: • Accurate data extraction from those three file types • Concise English-language summaries generated on demand • Reliable keyword and phrase identification that feeds a searchable index Everything will run in English for now, so no multilingual processing is required. I’m open to whichever stack you prefer—Python, Node, or another language—as long as modern NLP libraries (think PyPDF, docx, pandas, spaCy, transformers, LangChain, etc.) are used cleanly and the code is well-commented. Here’s how I picture the workflow: I upload a document or folder, the system pars...

I need an experienced web-scraping specialist who can reliably pull data from Facebook and Instagram. The focus is on public, real-time content; I want clean, structured results that can be analysed right away without additional tidying on my side. To be sure your approach works, please show me a short sample first—10-20 recent records from each platform will do. I am happy with any proven stack (Python + BeautifulSoup/Scrapy, Node + Puppeteer, Selenium, API work-arounds, etc.) as long as you can demonstrate stability, speed, and respect for each platform’s rate limits. Deliverables (all items required): • One working script or tool that scrapes Facebook and Instagram as agreed • A sample dataset for my review before full engagement • Clear instructions or ...

I have a PDF document and simply need every bit of text lifted out of it and supplied back to me as plain, unformatted text. No images, tables, or styling are required—just the words exactly as they appear in reading order. Accuracy is the only real challenge here: line breaks, spelling, and punctuation must match the source. Once copied, deliver the content in a .txt or .docx file, whichever is easier for you, as long as the result remains completely plain. That’s the whole job—quick, clean, and precise.

I regularly receive a single-page payment advice in PDF format showing only the UTR code. I need a lightweight tool that can take that PDF, pull out the UTR, query the SWIFT network, and return the full trail of the funds—every intermediary bank involved, time stamps, references, and the final credit to our account. Complete transaction history is essential; basic origin/destination details are not enough. A simple command-line script, small desktop utility, or slim web interface is fine as long as it: • ingests the PDF directly (or manual re-typing) • resolves the UTR through SWIFT and maps each hop in the chain • outputs a clear, human-readable report

I have 559 product listings in an online store, and I need their information exported into an Excel file, with their photos saved in separate folders. The Excel file should contain four columns: Product name Full description Dimensions (width × height × depth, or any other format shown) Category The photos should be downloaded in JPEG format, with between one and eight images per product, depending on what is available on the website. Each set of photos should be placed in a folder named exactly after the corresponding product so they can be linked easily later. I will provide the website URL and, if necessary, access to the public area of the site to facilitate scraping or manual data collection. I would appreciate it if you could ensure that the Excel file contains no unw...

I need photos downloaded in original format. Categorised by page with summary/list. Supplied in a zipped folder. I look forward to your proposal and timeline.

I have a sizeable collection of publicly available PDFs that all follow the same template, and I need their text contents extracted in bulk for research. The job is straightforward: crawl or batch-download the files, parse each document, and return clean, structured text that I can drop directly into my analysis pipeline. Because the layout is consistent across every PDF, you can rely on positional cues or pattern-based parsing rather than complex heuristics. OCR should be unnecessary—native text extraction with a Python stack (, PyPDF2, or similar) or a Java/Node alternative is fine as long as the output is accurate. Deliverables • A reusable script or small utility with clear instructions • Sample output (JSON or CSV) showing the full text from at least a handful of...

I’m looking for a meticulous genealogist to trace my paternal family as far back as the available records allow. My primary resource right now is a set of marrige certificates, children's birth certificates. My grandfather was a merchant seaman originally, I believe from Sierra Leone and living in Sunderland. He died at sea in 1941. I have no information on his history as a sailor and from beofre. I know the family was poor and was not living together at the time of the 1921 census. I have some traces of some of the children in Industrial Schools but no nothing about their lives and what happened to them. I also lost touch with my own father and would like to know something about his life.

I have a collection of printed reports that I will photograph and share with you. Each image contains purely numerical information—totals, item counts, and other figures—that must be transcribed accurately into both an Excel workbook and a mirrored Google Sheets file. My priorities are accuracy, clear organization of each column and row, and reliable turnaround times. You will receive the photo sets in batches; after every batch is finished, I will spot-check totals before sending the next. Deliverables • One fully formatted Excel file (.xlsx) • The same data replicated in Google Sheets (shared link) Acceptance criteria • 100 % of the numbers from each photo transferred with zero transcription errors • Sheet tabs named consistently with the ...

I have a sizeable spreadsheet that needs a thorough clean-up in Microsoft Excel. The raw file contains duplicates, inconsistent formats, stray blanks and a few obvious typos. I’m looking for someone who can methodically work through the sheet—using whatever mix of formulas, Power Query, or manual checks you prefer—to deliver a polished, analysis-ready workbook. Accuracy is more important than speed, so the timeline is flexible. When you respond, please highlight your experience handling similar Excel data-cleaning jobs; examples of past successes will help me gauge fit. Final deliverable: the cleaned Excel file plus a short note summarising the main issues you found and the fixes you applied.

I need help converting a mixed set of scanned, editable, and image-based PDFs into clean, fully editable spreadsheets and documents. Every file must come back to me in both Excel and Word formats, with the original font styles, sizes, tables, and any embedded images preserved exactly as they appear in the source. Here’s what the work involves: • Manually or semi-automatically extracting data from each PDF, double-checking that every number, label, and character is carried over without errors. • Rebuilding the layout so the spreadsheets and Word files mirror the original spacing, column structure, and visual elements. • Running a final accuracy pass before delivery so I can plug the files straight into my workflow without further edits. Confidentiality is crit...

I need help transferring information from a collection of PDF invoices into a clean, well-structured Excel or Word file—whichever format you feel delivers the most clarity. For every invoice, I require the following fields captured exactly as they appear: • Names and addresses • Item descriptions and prices • Invoice numbers and dates Accuracy is critical; spacing, spelling, and number formatting must match the source documents so I can run reconciliations without additional checks. If you already use tools like Excel advanced functions, Power Query, or OCR software to speed up repetitive entry while preserving precision, please mention it in your message. When you respond, let me know: 1. Your typical turnaround time for, say, 50 invoices. 2. Any past exp...

I have a set of tables sitting in a SQL Server database that need to be brought into Excel quickly and accurately for further work. This is a straightforward data-entry assignment: query the required fields in SQL Server, transfer them into a clean Excel workbook, and make sure each column matches the same naming and formatting conventions already in the database. No analysis or automation is required at this stage—just precise extraction and organised entry. Please be comfortable writing basic SELECT statements in T-SQL, handling any null or special-character values that appear, and double-checking row counts so the Excel file mirrors the source exactly. Deliver one Excel file (XLSX) with data correctly populated and ready for downstream use.

I have a collection of paper documents filled with numerical data that I need transcribed into a digital spreadsheet. Accuracy is critical: every figure must match the original source. Once the numbers are entered, I also need basic sorting and filtering so I can quickly view totals by date, category, or any other field you recommend. You’re free to use Excel, Google Sheets, or another standard spreadsheet tool—whatever lets you work fastest while keeping the data fully editable on my end. I’ll supply high-resolution scans as soon as we start, along with a simple template that shows the column order I have in mind. Deliverables: • Completed spreadsheet containing all numerical entries from the paper documents • Applied filters and preset sorts that let me to...

I have a series of webpages whose plain text I need lifted exactly as-is—headings, paragraphs, and line breaks intact—and transferred into a single clean document. No images, tables, or embedded links; just the raw text reproduced verbatim, ready for further editing on my end. I’ll share the page URLs and confirm the destination format as soon as we kick off, so you can work straight away in Word, Google Docs, or a simple .txt file depending on what proves quickest. Speed is important, but accuracy matters more: please double-check that nothing is missed or inadvertently reformatted. If you already use tools or browser extensions that streamline web copying, feel free to leverage them, provided the end result remains tidy and faithful to the original layout. Deliverable...

I have a collection of online databases that hold the text records I need for an upcoming analysis project. Your task is to log in (credentials will be provided), extract the required text fields exactly as they appear, and enter them into a clean, well-structured spreadsheet or CSV that I can plug straight into my analysis workflow. Accuracy is critical—every character, punctuation mark, and line break matters. I will supply a brief data dictionary so you know which columns to create and any normalisation rules (e.g., how to handle blank fields or special symbols). Please include a short QA pass: double-check for typos, copy-paste errors, or misaligned rows before handing the file back. Deliverables • Completed spreadsheet/CSV containing all requested text fields • A...

I’m rolling out Sage 300 and want to get the foundation right the first time. My priority is a solid general setup with clear user roles and permissions, followed by a smooth migration of data from our current accounting platform into Sage 300. Here’s what I need from you: • A walkthrough of best-practice configuration steps so the chart of accounts, fiscal calendars and modules are ready for day-to-day use. • Guidance on designing role-based access that satisfies audit requirements yet keeps day-to-day workflows simple for each department. • A detailed migration plan covering data extraction from the existing system, cleanup recommendations, import mapping, and validation checks inside Sage 300. • Live screen-share sessions (or recorded videos if...

I have a set of tables sitting in a SQL Server database that need to be brought into Excel quickly and accurately for further work. This is a straightforward data-entry assignment: query the required fields in SQL Server, transfer them into a clean Excel workbook, and make sure each column matches the same naming and formatting conventions already in the database. No analysis or automation is required at this stage—just precise extraction and organised entry. Please be comfortable writing basic SELECT statements in T-SQL, handling any null or special-character values that appear, and double-checking row counts so the Excel file mirrors the source exactly. Deliver one Excel file (XLSX) with data correctly populated and ready for downstream use.

I have 500 rows of purely numerical data locked inside several PDF files and I need every single figure transferred into Excel or Google Sheets within the next two days. Each value must be entered with currency formatting applied, not just copied over as plain numbers, so the finished file is ready for calculations and summary reports the moment it lands in my inbox. Accuracy is absolutely non-negotiable; I will be spot-checking against the source PDFs and expect a flawless match. When you reply, let me know: • your fixed price for the full 500-row transfer • the exact number of hours you’ll need to deliver the completed, formatted sheet I’ll share the PDFs immediately once we agree, and I’m happy to accommodate your preferred workflow—whether you...

I have a set of PDFs filled with numerical tables that I need rebuilt in Excel. Most of the tables share the same column order and headings, but a few break the pattern with extra columns or slightly different layouts. Your task is to extract every data point accurately, place it in a clean, well-structured workbook, and make sure the sheets remain easy to filter, sort, and run formulas on. Key points you should know: • All content is numbers—no paragraphs of text to parse. • Consistent tables can be copied straight across; the odd ones require you to adjust the column mapping so every header lines up correctly. • I do not need fancy formatting, just clear headers and correctly typed figures (no embedded images of numbers). Deliverable: one Excel file contain...

I have a set of records sitting in online databases that I need transferred into an Excel workbook. The information is a blend of numbers and text—think IDs, dates, names, and brief descriptions—all of which must keep their exact formatting as you move them across. Here is what I am after: • Pull every required field directly from the source databases. • Enter the data into the appropriate columns I will share with you (the structure is ready; you simply fill it). • Double-check that numeric fields remain numeric and that text strings are intact, so formulas and filters work right away. A solid grasp of Microsoft Excel’s basic validation tools and an eye for accuracy will keep this job smooth. Once done, send back the completed workbook so I can slo...

I have up to ten short PDF and Excel pages that contain a mix of numbers and text. Your job is to extract every piece of that mixed data precisely and place it into a clean, well-formatted Google Sheet. You will receive the source files as soon as the project is awarded, and I’ll share an empty Google Sheet with the required column headings so you can start right away. Accuracy is critical—I will run spot checks before releasing payment—so please double-check for typos, misplaced decimals, or missing rows. Timeline: the finished Google Sheet must be ready within 48 hours of acceptance. I’ve set aside a lean budget that fits the straightforward nature of this task and will release the full amount once the sheet passes my accuracy review. Deliverable: • A si...

I have up to ten short PDF and Excel pages that contain a mix of numbers and text. Your job is to extract every piece of that mixed data precisely and place it into a clean, well-formatted Google Sheet. You will receive the source files as soon as the project is awarded, and I’ll share an empty Google Sheet with the required column headings so you can start right away. Accuracy is critical—I will run spot checks before releasing payment—so please double-check for typos, misplaced decimals, or missing rows. Timeline: the finished Google Sheet must be ready within 48 hours of acceptance. I’ve set aside a lean budget that fits the straightforward nature of this task and will release the full amount once the sheet passes my accuracy review. Deliverable: • A si...

I’m looking for a detail-oriented web-scraping specialist who can pull data from virtually any public-facing website and hand it back to me neatly organised in an Excel workbook. The site type and data fields will vary from project to project—sometimes it might be product listings, other times articles, reviews, or contact details—so adaptability and solid experience with tools such as Python (BeautifulSoup, Scrapy, Selenium) or equivalent are essential. What matters most is accuracy, clean formatting, and a repeatable process I can rerun in the future. Along with the finished .xlsx file, please include either the script or clear documentation of your method so I can update the scrape if the source site changes. If you have questions about pagination, login barriers, or...

I have list of images, need to extract only questions in doc file, i have format available

I'm seeking a skilled data analyst for forensic accounting. The goal is to uncover financial trails and identify missing accounts or documents, with a focus on fraud detection. You will analyze multiple data sources: - Bank account statements - Credit card statements - Transaction logs - QuickBooks audit logs Key Requirements: - Expertise in fraud detection - Experience with financial data analysis - Proficiency in creating comprehensive reports in various formats (PDF, Excel, Dashboards) Ideal Skills and Experience: - Background in forensic accounting or financial analysis - Strong analytical and problem-solving skills - Attention to detail and accuracy