Dataekstraksjon Jobs

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 have several bank statements saved as PDFs where each transaction is presented line-by-line. I need a small utility that can read those files, pull out every transaction, and insert the information into an SQLite database. The essential fields are the date, description and amount shown on each line; if a running balance is available it would be great to capture that as well. Accurate numeric handling is critical—please strip currency symbols, recognise minus signs or debit/credit markers, and make sure amounts are stored as real numbers rather than text. I use macOS but a cross-platform command-line solution is ideal. Python with pdfplumber / PyPDF2, pandas and the built-in sqlite3 module would suit me perfectly, though I’m open to another stack if you clearly outline the a...

I have a set of PDF bank statements and I need every transaction imported into a single, well-structured SQLite database. The database only has to hold one field—Amount—so you can ignore dates and descriptions unless you find them useful for your own processing logic. You can choose whichever parsing approach you prefer (Python + PyPDF2, tabula-pdf, or any other reliable library) as long as the final result is a self-contained .sqlite file I can open directly with standard SQLite tools. Deliverables • The populated .sqlite file with an Amount column containing every transaction value from the PDFs • The script or notebook you used, clearly commented so I can rerun it on future statements • A short read-me explaining setup and execution steps Acceptance Cri...

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...

Two related aspects to the Project PART 1: Patient Phone Intake Prototype w Local Storage 1. Purpose Build a local computer-based replacement for our current paper telephone intake workflow. The purpose is to: • reproduce the existing intake workflow electronically; • allow us to test and improve the workflow in actual use; • identify coding and usability issues before investing in a cloud-based version; • preserve the workflow and business logic so that it can later be migrated to a HIPAA-appropriate cloud environment. 2. Preferred Implementation/Architecture Local browser-based web application running entirely on one Windows PC. Example: Browser → Local Application → Local Database The application may open in Microsoft Edge, Chrome, or another standard b...

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. ...

My PC runs on Windows and I need someone to jump onto it via AnyDesk and get Scrapy fully installed, configured and tested right away. The goal is to create a working environment that can pull mobile-phone numbers from several European escort sites. Here is what has to happen: • Install Python (latest stable), pip and Scrapy, making sure all path variables work. • Add the extra libraries a phone-number crawler usually needs (regex, requests, lxml, fake-user-agent or similar). • Demonstrate the install by building a quick sample spider that visits one target site I supply, respects settings, rotates user agents/proxies, and exports the scraped numbers to CSV. • Show me, step-by-step, how to run, pause and tweak the spider so I can extend it myself later. A shor...

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...

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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.

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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...

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way? The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover. Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurate and t...

I have a digital PDF whose text can be fully selected and copied. I need every piece of that text moved into a clean, well-structured Excel workbook. The spreadsheet should follow the order of the PDF, with each logical field placed in its own column so the data can be sorted and filtered later. Accuracy is vital, so please watch for hidden line breaks, extra spaces, or characters that may paste oddly. No OCR or re-typing is necessary—simple copy-paste combined with basic Excel clean-up (find/replace, text-to-columns, Power Query if you like) should do the job. Deliverables • One .xlsx file containing all PDF text, organized into clearly labeled columns and rows • A short note flagging any sections that could not be copied exactly as found in the PDF The PDF is rea...

I have a collection of PDF files that contain tabular data I need organised cleanly in an Excel workbook. The task is straightforward: locate every table inside each PDF, transfer the information into Excel, and preserve the original row-and-column structure so formulas or pivot tables can be applied immediately after import. Accuracy is more important than speed; numbers, dates, and text labels must match the source exactly, and headers should be kept intact. If any table spans multiple PDF pages, please merge it seamlessly in the spreadsheet. I will provide the PDFs and indicate the preferred sheet order once the project starts, and I’m happy to review a sample file first to confirm the layout before you proceed with the rest. Final deliverable: a single .xlsx file containing one...

I have a set of PDFs that contain plain text only—no tables or images—and I need every word moved accurately into an Excel workbook. All I’m after is a clean, line-for-line transfer so the content can be filtered and analysed later. Here’s what you’ll do: open each PDF, capture every piece of text exactly as it appears, and paste it into the appropriate Excel columns or rows without introducing extra spaces, line breaks, or formatting glitches. No data interpretation or re-typing of tables is required because the files contain text blocks only. Deliverable • One Excel file that mirrors the complete text from all supplied PDFs, ready for immediate use. When you respond, briefly outline your experience handling PDF-to-Excel work—just enough to sh...

I need an end-to-end AI solution that can ingest incoming invoices, pull out key information with at least 95 % accuracy, rename each file intelligently, and store everything in an organised folder structure (or another storage layer you recommend). Input formats are varied—PDFs, JPEG/PNG photos taken on phones, and scanned documents—so the pipeline has to be format-agnostic. My initial thought is a machine-learning-driven extractor that combines OCR with layout analysis, but I’m happy to hear alternative strategies if they boost reliability or speed. Here is the data I must capture on every invoice: • Supplier name • ABN • Invoice number • PO number • Invoice date • Total amount and GST • Line-item stock details (quantity,...

I need a reliable script that pulls profile-level data from a website that presents its users in listing form. The site shows one profile per detail page; I want a scraper that moves through the listings automatically, opens each profile, and extracts the information I later specify (think names, contact details, background facts, social links—the exact fields can be configured once the basic framework is in place). Key points you should know before you jump in: • The target site uses pagination and a few dynamic elements, so the scraper must cope with lazy-loaded content and possible JavaScript rendering. • Output should land in an easily reusable format such as CSV or JSON, with clean column headers. • I’d like the code written in Python and organised so I...

Using , I need a comprehensive extraction of data for 100 separate locations. For every single day of the week I want the raw numbers for foot traffic and dwell time pulled, then organised in one clear Excel workbook. Inside that same workbook please add a concise summary section for each site that shows: • Average foot traffic • Average dwell time • Peak traffic hours Label everything intuitively—location name, date, day of week—and keep formulas visible so I can audit or update the figures later. If you already have scripts or a repeatable workflow; speed and accuracy are both important.

I will send you a batch of PDF or plain-text source files that contain a mix of words and numbers. Your task is to key every piece of information into a clean Excel spreadsheet, grouping the entries logically by category or type so the file is easy to filter and analyse later. Absolute accuracy is essential: please double-check spelling, numerical values, column alignment, and any required formatting before you hand the file back. If you run into fields that are illegible or ambiguous, mark them clearly in a separate colour or with a simple comment so I can review them quickly. Deliverable • One fully populated Excel workbook, neatly organised by category/type, with any uncertain items visibly highlighted. Once I confirm the data is complete and consistent, the project is done. Let...

The project involves automating the retrieval, processing and integration of expert responses and PDF reports. Depending on the case, this information may be retrieved directly from automotive assessment portals or received by email, potentially as a PDF attachment. Current process A pro forma invoice is created and added to the relevant case on a portal. Twice a day, it is necessary to check whether a response or report is available, either directly on the assessment portal or potentially in an email inbox. When a report is available, the following steps must be completed: - open the relevant case; - open the PDF assessment report from the portal or email; - identify the amount approved by the expert; - compare it with the amount on the pro forma invoice; - download the report; - uplo...

I have a backlog of invoices, receipts and bank statements, all supplied as searchable and non-searchable PDFs. From each document I only need two categories of information pulled out: • the dates and amounts that appear on every page • the full itemised lines (description, quantity, unit price, line total) Customer names or addresses are not required this time, so the workflow can stay tightly focused on these data points. Ideally you will set up an OCR pipeline—Tesseract, ABBYY FlexiCapture, Amazon Textract, or a custom Python script with OpenCV—anything you are comfortable with that gets reliable accuracy. The final output should land in a neatly structured CSV or Excel workbook that I can import straight into my accounting software. Acceptance criteria &...

I have a collection of scanned documents that need to be transcribed accurately into a pre-formatted Excel sheet. This is straightforward Excel data entry—no formulas, just clear, error-free text transfer. Every line of text from the scans must go into the correct column I will specify so that the file is ready for sorting and filtering once you hand it back. Because the material arrives as images, solid experience reading and typing from scanned sources (think fast, accurate “captcha-style” typing) is essential. Consistency in spelling, punctuation, and spacing matters; I will be spot-checking against the originals. You will receive: • PDF batches (roughly 30–40 pages each) • An Excel template with named columns On delivery I expect: • A single ...

I need help transferring a large set of mixed data—text and numbers—into one clean master file. The material arrives from two places: a batch of digital files and a couple of online databases to which I will grant read-only access. Inside the download folder you will find Excel spreadsheets, PDF documents, and Word files, each holding portions of the information. I will supply a template spreadsheet that shows the exact column order, data-type notes, and sample rows. Your job is to: • Extract every required field from each source without altering spelling, number formatting, or date style • Populate the template accurately and completely • Flag any unclear or missing values for quick clarification • Return the finished master file along with a short ...

I have a series of PDFs laid out in clear tables and column structures, and I need every piece of text plus the accompanying images moved into the matching sections of my website. The site is already fully configured to accept this data, so you’ll be working directly inside its CMS—no setup work required on your end. Accuracy is critical: the table hierarchy, column order, and any headings must be preserved exactly as they appear in the source files. Images should be uploaded at original resolution, assigned to the correct spots, and given sensible filenames and alt-text pulled from the surrounding copy. Deliverables • All PDF text entered into the designated website fields, retaining table or column alignment. • All images uploaded and placed correctly with...

I have a collection of PDFs and I need every piece of text pulled out and neatly organized in Excel. The files aren’t consistent—some pages follow clear headings, others read more like free-form notes—so I’m looking for someone comfortable interpreting whatever structure shows up and still producing a clean, well-labeled spreadsheet. Here’s what I expect: • Accurate extraction of all text only (no images or tables). • Smart categorization into separate Excel columns that reflect the key information in each document rather than simply mirroring the PDF layout. • A single .xlsx file returned for each batch, ready for filtering and analysis. I’m fine with whichever approach you prefer—Python with libraries such as PyPDF2, Tabula, ...

# Financial Statement Data Extraction Specialist – 800+ Scanned PDFs I am looking for an experienced **Data Extraction / OCR / Data Engineering specialist** to extract financial data from approximately **800 phone-scanned financial statements** for academic research. The documents cover **multiple companies and multiple years**, and the final output must be structured as a **panel dataset in Excel** using the template I provide. ### Pilot Test I have uploaded **5 financial statements as a pilot sample**. The freelancer should extract the pilot documents into my Excel template exactly as the full project would be processed. The pilot will be used to evaluate the extraction method and accuracy before awarding the full project. ### What Must Be Extracted For each company/year: ...

I have a batch of scanned bank statements that must be run through OCR and parsed so I receive clean, structured JSON containing only the account-holder information (name, address, account number and any other clearly labeled personal identifiers that appear on the statements). Accuracy and consistency are critical. I will verify the JSON against the original PDFs, so the output must match every field exactly as it appears, without spelling mistakes or truncation. Feel free to employ any combination of Tesseract, ABBYY FineReader, AWS Textract, or another OCR engine that can handle mixed fonts and occasional background noise—use whatever delivers the best character recognition rate. Deliverables • A single JSON file per statement, named to match the original document &bull...

I have a collection of Excel and CSV files that contain strictly numeric information. Your job is to open each file, transfer the numbers exactly as they appear into the template I provide, and save the completed sheet in the same format. Accuracy is critical—I’ll be spot-checking totals and cell positions—so you’ll need good command of Excel or Google Sheets functions such as copy-paste-special, basic formulas, and quick validation tricks. I’ll share a concise set of column-by-column instructions plus a small sample first; once that’s approved, you can move on to the full batch. The final deliverable is the populated template returned with every value verified and any irregularities noted in a separate comments tab. If you’re comfortable wit...

I have to confirm whether an individual was present at a specific property on a set of past dates and times. I will provide the exact address and the precise timestamps privately once we begin. What I need from you: • Secure and extract historical GPS logs from a Lexus vehicle for those dates. • Combine phone number data with timestamps to analyze presence at the specified address. • Analyze two distinct time frames for this data. • Possibly retrieve messages (text or in-car messaging) from the same phone number after GPS analysis is completed. I do not currently have access to the Lexus Enform account or any onboard data, so guidance and technical work to obtain the logs is essential. If alternative methods—such as data recovery from the head unit, ...

Looking for an Indian Web Scraper, Data Scraper, Email Marketing Specialist, and Data Analyst Needed For Quality Lead Generation - The project price can be increased for experienced freelancers. # Project Overview I am looking for an experienced **Web Scraper / Data Scraper / Email Marketing Specialist / Data Analyst** who can help with an ongoing data-generation and marketing project. The ideal candidate should be comfortable working with large datasets, extracting accurate business/contact information from publicly available sources, cleaning and organizing the data, and using the resulting database for compliant email marketing and performance analysis. This can become a **long-term project** for the right freelancer. ## Key Responsibilities ### 1. Web & Data Scraping * Scra...