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I need to automate the entire journey of pulling financial data from the web, saving it into a clean .csv file, and then funneling that data into Excel where I can explore it through a purpose-built dashboard with interactive filters. Here is what I have in mind: • A reusable script (Python with requests/BeautifulSoup, Selenium, or a similar stack) that scrapes up-to-date financial data. We can decide together which public sources make the most sense once we talk through feasibility and any site restrictions. • The script should output a single, well-structured .csv file ready for import. • An Excel workbook that automatically refreshes from that .csv and presents the data in a clear dashboard: charts, key metrics, and slicers or drop-down filters so I can drill into s...

I have a set of customer-supplied Excel templates that must be populated with the full breadth of information already stored in our PIM exports (they come to me as regular CSV / XLS files). Right now the templates arrive half-empty—most of the product specifications, marketing columns and image URL slots are blank—so I need a careful, methodical hand to transfer what we already have into the correct cells without altering the wording. The job is straightforward: open the existing PIM flat files, locate the matching SKU or item number in the customer template, and copy every available specification, marketing field and image URL exactly as it appears in our source to their respective. For the marketing section, all text is ready to go; this is a pure copy-and-paste exercise rat...

I need a developer to build an automated tool that scans a football betting website for upcoming football matches across multiple/all available leagues. The tool should automatically: 1. Find upcoming matches. 2. Identify matches where the Statistics/H2H section is available. 3. Extract the three H2H percentages separately: Home Team %, Draw %, Away Team %. 4. Export the results to Excel/CSV in three separate percentage columns Example: Premier League: 1. Arsenal vs Chelsea → Home Team: 30% | Draw: 20% | Away Team: 50% 2. 3. ... Laliga: 1. Barcelona vs Sevilla → Home Team: 65% | Draw: 20% | Away Team: 15% 2. 3. ... The entire process should be automated. I do not want to manually open matches and check leagues every week.

I already have a spreadsheet of dynamic URLs, each containing searchable databases of mainly business listings (people records matter too, but the business layer comes first). From every URL I need the script to pull three fields—Name, Contact information and Address—and funnel everything into one clean, well-structured master CSV. Because the links rely on search parameters rather than static pages, the scraper has to cope with pagination, filters and the occasional redirect. If you normally lean on Claude for pattern recognition or tools such as Ultimate Web Scraper, Playwright, Beautiful Soup or similar for automation, that’s exactly the kind of workflow I’m hoping for. Whatever stack you choose, please make it fully headless so I can run future batches without ...

I have a batch of technical web documentation pages and need all visible on-page textual content exported into one neatly organized LaTeX source file, paired with a supporting Excel metadata sheet generated by Python scripts. No embedded images, code screenshots, charts or multimedia assets—only raw readable text content. Preserve the original content sequence and core logical hierarchy completely: page headings, subsections, numbered/bullet lists, mathematical formulas, inline code blocks and paragraph divisions must remain unchanged. Complex decorative formatting, custom color styles and fancy layout tweaks are not required. I will share all target URLs once we kick off the task. The full deliverables (`.tex` main document + automated `.xlsx` index sheet built with Python) need t...

I have a batch of technical web documentation pages and need all visible on-page textual content exported into one neatly organized LaTeX source file, paired with a supporting Excel metadata sheet generated by Python scripts. No embedded images, code screenshots, charts or multimedia assets—only raw readable text content. Preserve the original content sequence and core logical hierarchy completely: page headings, subsections, numbered/bullet lists, mathematical formulas, inline code blocks and paragraph divisions must remain unchanged. Complex decorative formatting, custom color styles and fancy layout tweaks are not required. I will share all target URLs once we kick off the task. The full deliverables (`.tex` main document + automated `.xlsx` index sheet built with Python) need t...

I have access to one invite-only script on TradingView and need the full Pine Script source pulled out. The end goal is strictly personal backup and use, with the extracted logic reorganised into a brand-new indicator that I can compile and run in TradingView (Pine Script v5 preferred, but v4 is acceptable if the original was written that way). I will share the exact script(s) to scrape once we start. What I expect from you • The unobfuscated, human-readable Pine Script that mirrors the original logic. • A working indicator file built from that code so I can add it to my own chart straight away. • Short inline comments where necessary to clarify any renamed variables or structural changes made during extraction. Acceptance criteria 1. The new indicator outputs id...

I need a reliable way to pull my complete history of activity of a foreign Facebook user and its linked Instagram account. The end result I’m after is twofold: • A clean, well-structured export (CSV or XSLX)

I have a collection of uniformly formatted scanned documents that contain text-only information. Your task is to extract that text with zero transcription errors, place it into a well-structured Excel or Google Sheet, and keep the sheet continuously updated as new scans arrive. Because every scan follows the same template, you can work methodically: verify each field, double-check spelling, and use simple formulas or data validation rules to flag anomalies. Consistent naming conventions, clear column headers, and time-stamped update notes are all part of the job. Accuracy and confidentiality are non-negotiable—I will provide the scans through a secure folder and expect the finished spreadsheet to remain strictly private. If you have experience entering data from OCR outputs or manu...

My company-owned laptop is still physically with me, but a former employee encrypted its primary SSD with BitLocker and tied the keys to his personal Microsoft account. The machine runs Windows 11 and will boot all the way into Windows; the problem is that every business-critical volume remains locked, leaving me without access to files that are now central to an internal theft investigation. I need an experienced security professional who can: • Bypass or otherwise unlock the existing BitLocker protection without that user’s Microsoft credentials • Extract a full, verified copy of all user data (including deleted items) • Preserve evidence integrity and provide a concise forensic report that could hold up in potential legal proceedings You may guide me through ...

I have a batch of PDFs made up almost entirely of text paragraphs, but they do contain a few diagrams and illustrations that I need preserved. Your task is to lift every bit of that content into a well-organized Excel workbook where each original section title becomes a clear heading and the related text sits directly beneath it. Alongside the text, I also want every image or graphic transferred—either embedded in the appropriate cell or placed on a dedicated “Images” sheet with a reference back to its section. Whichever approach you suggest is fine as long as the final file lets me trace each graphic to its original context at a glance. Accuracy is everything here: • No dropped words, line breaks, or punctuation changes. • Headings must be consistentl...

I need mixed text and numeric information transferred from a batch of PDF documents into a clean Microsoft Excel workbook. Accuracy is key; spelling, numbers, and formatting must match the source exactly. Scope • Open each supplied PDF and locate every data field indicated. • Enter the values into the corresponding columns of the Excel template I will provide. • Double-check totals, dates, and any numerical figures to ensure they align with the PDFs. • Save and return the completed .xlsx file, ready for immediate use—no macros or add-ins required. I will share the PDFs, the column layout, and brief field-by-field instructions once we start. Please be comfortable working quickly while maintaining 100 % accuracy.

I’m advancing an academic study in the natural sciences and need a skilled researcher to accelerate the work. The core of the project involves locating and critically appraising peer-reviewed literature, extracting key data points, and weaving them into a clear, well-structured narrative that aligns with publication standards. You will dig through databases such as Web of Science, Scopus, or PubMed, track down primary sources, and summarise findings with proper citations (APA, MLA, or the journal’s house style—let me know if you have a preference). Once the literature base is solid, I’ll rely on you to highlight gaps, refine the research question where necessary, and draft concise sections—introduction, methods overview, and discussion—ready for my re...

Backend development for ShineU Analytics — a serverless AWS solution enabling parents to manage students, upload academic reports, and generate AI‑powered performance insights. Scope of Work Authentication: Secure JWT‑based login, registration, password management. Parent & Student Management: CRUD APIs for parent profiles and student records. Report Management: Secure file uploads (PDF, Excel, images) via presigned S3 URLs, metadata storage, selection/deselection of reports. AI Analytics: Python service for document extraction, OCR, normalization, and AI‑driven analysis (strengths, weaknesses, trends, recommendations). Generated Reports: Asynchronous report generation using SQS, save/view/delete reports. Dashboard APIs: Latest saved report, quick insights, performance tren...

I need a freelancer to extract data from journal articles and encode it into CSV files. The data includes text, tables, figures, and supplementary files if relevant. Access to the journal articles will be provided as PDF files. Requirements: - Extract text, tables, figures, and supplementary files - Encode all extracted data into CSV format - Access to data via provided PDF files - Transparency regarding workflow and tools used (e.g., text scrapers or AI) Ideal Skills: - Experience with PDF data extraction - Proficiency in handling CSV files - Attention to detail and accuracy in data entry - Familiarity with academic journal formats - Unafraid to ask clarifying questions Additional Information: The deadline for this task is 3 weeks. However, higher compensation will be considered for fr...

Goal: Harvest up‑to‑date Technology job listings from LinkedIn, JobStreet, MyCareerFuture Singapore, Naukri, Seek Australia, and U.S. remote‑hiring sites. Stack Options: Open to Apify, PhantomBuster, Python + Playwright, Selenium, Scrapy, or managed SaaS — must be stable, rate‑limit compliant, and easy to retune. Core Data Fields: Job title, company, location, description snippet, post date, full URL. Filter: Configurable, so new job categories can be added without rewriting the flow. Output: CSV + JSON, ready for GenAI ingestion. CONTEST - Scrape IT jobs in Singapore from LinkedIn. -Quick explanation on which tool or coding is used, how‑to covering environment setup, proxy/residential IP rotation, and selector retuning.

i need a desktop tool which converts scanned pdfs to excel with atleast 99% accuracy. its urgent need.

Ich möchte auf meinem Android-Gerät einen vollständig automatisierten Ablauf einrichten: Sobald eine eingehende E-Mail von einem festgelegten Absender erkannt wird, soll aus dem Mailtext die Mobiltelefonnummer und – sofern vorhanden – der Name des Absenders extrahiert werden. Erkennt das System, dass es sich um eine Reservierungsanfrage für Tennis, Squash oder Badminton handelt, soll umgehend eine passende SMS-Bestätigung an die ausgelesene Nummer verschickt werden (z. B. “Tennis-SMS-Bestätigung” bei Tennisanfrage). Kernaufgaben • Erkennen eingehender E-Mails eines definierten Absenders. • Zuordnung der Anfrageart (Tennis, Squash, Badminton) anhand des Betreffs oder Mailinhalts. • Extraktion von Mobiltelefonnummer un...

Each month I receive a folder of digital PDF receipts that must be transcribed into a clean, well-structured Excel workbook. Your task is to open every PDF, extract the key transaction details—date, vendor, amount, tax, payment method, and any reference numbers—and record them in the template I will supply. Accuracy is paramount because these figures feed directly into my accounting system. Workflow • I provide a zipped set of PDFs and the blank Excel sheet. • You enter the data, double-check values, and return the completed workbook. • Any unclear fields are flagged in a notes column so I can verify them quickly. Acceptance criteria • 100 % of receipts logged; no rows missing. • Decimal and date formats match the template. • Spread...

I need a robust, production-ready Python scraping solution to collect 25,000 to 30,000 unique records across three specific categories in Greece: Restaurants, Things to Do (Activities), and Cruises. The target sources are major travel aggregators and platforms (e.g., TripAdvisor, Google Maps). Sample target structures include: • • • This data is used strictly for educational and statistical analysis. I am looking for a fixed-price offer. Bids that change or increase after the initial application will be immediately rejected. Technical Scope & Deliverables • The Engine: A self-contained Python script utilizing standard industry libraries (e.g., Scrapy, Selenium, BeautifulSoup, or requests). • The Output: One clean, fully deduplicated CSV file containing 25,00...

I have several PDFs filled with mixed text-and-number tables that I need moved into Excel so I can run detailed data analysis. Every heading, font style, merged cell, and numerical format must look the same in the spreadsheet as it does in the source file—nothing can be lost or rearranged in the transition. You may use any reliable toolset you prefer—Adobe Acrobat, Power Query, Python with tabula-py or camelot, even a custom macro—as long as the final .xlsx sheet is ready for immediate analysis. Accuracy will be checked against the original PDFs; column order, cell borders, and number formats must match exactly, and totals must reconcile. Deliverables • A clean, fully formatted Excel workbook for each supplied PDF • A brief note describing the method you u...

I need an experienced Siemens SIMATIC PCS 7 / WinCC engineer to build a read-only connector from an existing PCS 7 DCS system to an existing Excel MIS workbook. The plant already uses PCS 7/WinCC and the Excel workbook already contains formulas and a management dashboard. The goal is to automatically extract selected DCS values and populate only the approved Excel input cells without modifying plant-control logic. The freelancer should first review the actual PCS 7 setup and recommend the safest supported method, such as Siemens-generated Excel/CSV export, OPC UA/OPC DA, OpenPCS 7, Process Historian, WinCC archives, or another approved read-only interface. Scope includes: identify the correct PCS 7/WinCC data-access method; map approximately 50–100 required tags/parameters to Exc...

# Job Post: University Website Data Scraping / Email Extraction I’m looking for someone who can help me **extract publicly available email addresses and contact information from university websites**. ### What you’ll do * I will provide a list of approximately **60 university** websites. * Visit the relevant university/department/lab/faculty pages. * Find and extract **publicly listed email addresses** of relevant faculty/researchers. * Organize the information in a structured Excel/Google Sheet. * Ensure the extracted information is accurate and properly linked to the source webpage. * I will also help with the process and provide guidance on which departments/pages to focus on. ### Deliverable A clean spreadsheet containing, where available: * University * Faculty/Resea...

I have a collection of Microsoft Word documents and I need every standalone paragraph lifted out and placed into an Excel workbook, with each paragraph occupying its own row. No tables, images, or contact blocks—just the plain text paragraphs exactly as they appear in the source files. You may use any reliable method you prefer (manual copy-paste, VBA, Power Query, or a small Python script with python-docx and openpyxl) so long as the final result is clean and accurately mirrors the original wording, punctuation, and line breaks. Deliverables • One .xlsx file per Word batch, each row containing a single paragraph in sequence • Source-to-row mapping retained (either by file name in a separate column or a clear index) • Completed file returned error-free and read...

I have a collection of PDF files that contain structured tables I need moved into a clean, well-formatted Excel workbook so I can run data analysis right away. Your task is a straight conversion—no deduping, reformatting of dates, or other transformations—just an accurate, cell-by-cell transfer. Key points to keep in mind • Every table, every row: nothing can be skipped. • Three columns are critical and must be clearly preserved in the sheet: Dates, Values, and Text descriptions. Feel free to flag them with a subtle background colour or bold header so they stand out the moment I open the file. • Sheet layout should mirror the PDFs, making it easy for pivoting and charting later. Deliverable An .xlsx file (or multiple sheets if that keeps things tidy) ...

I have a collection of PDF documents that contain numbers scattered across tables, embedded charts, and interactive form fields. I need every one of those figures captured accurately and transferred into a structured spreadsheet or database of your choice—Excel or Google Sheets is fine as long as the final file remains easy for me to filter, sort, and run basic calculations on. Here is what success looks like for me: every numeric value that appears in a table, chart, or form field inside each PDF ends up in the corresponding row and column of the output file, with the original hierarchy (document → page → table/chart/form) clearly preserved so I can trace any figure back to its source page without opening the PDF again. Totals and subtotals must add up, and any discrepanc...

I want a self-contained software agent that, when I feed it the name or domain of a medium-sized enterprise, automatically pieces together the company’s full organisational chart and returns a verified corporate email and number for every person it finds. The agent may explore open data reservoirs—our internal databases, public directories and employee social profiles—but it should not rely on any authenticated endpoints, API keys or user log-ins. You are free to choose the language and stack, though Python plus libraries such as Scrapy, Beautiful Soup, Selenium or similar web-automation tools would make sense. The final output needs to be delivered in both machine-readable (JSON or CSV) and human-friendly form: a hierarchical tree or graph that clearly shows reporting ...

I have several PDFs filled with tabular data that need to live in a single, tidy Excel workbook. Accuracy is my top priority, but I don’t want a bare-bones dump—please keep the original font styles and sizes as well as the cell colors and borders that appear in the source tables. Everything else (headers, footers, extra spacing) can be stripped away. You’re free to use whatever workflow suits you—Adobe Acrobat, Power Query, Python (tabula-py, camelot), or a manual approach—as long as the finished .xlsx file: • Reproduces every table in its own sheet or a clearly labeled consolidated sheet • Preserves the specified formatting elements (font styles & sizes, cell colors & borders) • Mirrors all values exactly, ready for sorting, filte...

I need the complete text from a collection of PDFs moved into an Excel workbook. The files contain only text—no tables or images—so the task is a straightforward copy-across of every word, not just selected excerpts or keywords. All I’m after in the spreadsheet is plain, unstyled text. No bolding, italics, or heading hierarchy is required; consistency and accuracy matter more than formatting flair. As long as each PDF’s content is clearly separated (one sheet per file or another logical structure you propose), I’m flexible on how you organise the rows and columns. The deliverable is a clean .xlsx file containing the full text from every PDF, double-checked for completeness and stripped of any hidden characters or line-break glitches that sometimes sneak ...

I have a batch of roughly 50–200 PDF invoices that need to be transformed into a clean, well-structured Excel spreadsheet. For every invoice you will capture three key areas: • Customer details (name, address, contact information) • Invoice amounts (sub-totals, taxes, grand total) • Product details (item descriptions, quantities, unit prices) Accuracy is paramount—I will be spot-checking entries against the source PDFs, so the final sheet must align perfectly with the originals. Please keep a consistent column layout throughout the workbook and preserve any currency symbols and number formats already present on the invoices. You are free to use whichever tools you prefer—Adobe Acrobat, OCR utilities, or manual entry—so long as the delivered...

We are seeking a highly experienced web scraping professional for a long-term collaboration involving large-scale B2B data extraction from major public industry directories in Germany and Austria. This is not a one-time scraping task. We are building a structured, scalable data acquisition system and require a technically strong partner capable of handling full extraction, enrichment, and monthly incremental automation. --- ### Phase 1 – Initial Full Extraction (Per Source) We will provide 1–2 directory sources as a pilot. For each source, the freelancer must: • Extract the complete company inventory • Capture required fields: * Email address (highest priority) * Company name * Street address * Postal code * City • If available: Telephone, Fax, Website, ...

I have several PDF reports composed entirely of well-structured tables—each laid out in clear rows and columns with headers. I need those tables transferred into a single Excel workbook while keeping the look, order, and cell formatting exactly as they appear in the original PDFs. Text, numeric values, header styles, column widths, and any bold or shaded cells should remain consistent, so the finished spreadsheet mirrors the source files at a glance. The scope is straightforward: convert every table, double-check that no data is dropped or misaligned, and return a clean .xlsx file ready for analysis without my having to adjust anything afterward. Accuracy matters more than speed, so please plan on a short validation pass before delivery. Deliverable • One .xlsx workbook repl...

I have a PDF document whose content is organised entirely in tables, and I need every one of those tables transferred into an editable Excel file. Accuracy is critical—the row and column structure must be preserved so that the data can be filtered, sorted, and analysed without additional cleanup on my side. Deliverables • One Excel workbook containing all tables from the PDF, each table neatly placed in its own sheet or clearly separated within a single sheet (whichever keeps the layout intuitive). • No data loss, merged-cell issues, or misaligned headers; totals and subtotals should match the source exactly. Please let me know your estimated turnaround time and any questions you might have about the source file.

I need every piece of engineering intelligence buried in my legacy P&ID drawings lifted into a clean, structured Excel file. The drawings arrive to you as searchable PDFs, and I will send the exact tag-naming and line-label conventions that must be followed. This is not a simple OCR job. You will have to read the schematics like a process engineer: • identify each piece of equipment, every line number and size, all pressure and temperature design data, motor or HP ratings, valves, PSVs, instruments, local indicators, switches, controls, and the relationships that connect them; • transfer the information into the spreadsheet so that tags, descriptions, operating/design figures and interconnections are all in their correct columns; • confirm that nothing is missed...

Description I am looking for someone experienced in EEG data analysis using MATLAB and FieldTrip to provide analysis support for a university research project investigating the effects of attentional load on multisensory integration (MSI). I have already completed data collection and have the raw EEG data in BrainVision format (.eeg, .vhdr and .vmrk) for multiple participants. The experiment includes auditory (A), visual (V) and audiovisual/bimodal (AV) stimuli. Participants also completed an N-back manipulation involving 0-back, 1-back and 2-back conditions, which is being used to manipulate attentional/cognitive load. The overall aim is to investigate whether multisensory processing/integration changes depending on attentional load, using behavioural and EEG measures. I am looking f...

I need a robust, fully automated process that pulls three specific data sets from Amazon every single day: • Product details (titles, bullet points, specs, ASIN, images) • Customer reviews with ratings and timestamps • Current pricing, including promotions and historical price if visible The solution should run on a schedule without manual intervention, gracefully handle captchas or page-layout changes, and drop the results into a clean, structured file or database table I can query—CSV or JSON is fine. Accuracy and consistency matter more than sheer speed; if a product page fails on one run, the script should log the error and retry. I’m comfortable working with Python, so Scrapy, Requests/BeautifulSoup, or Selenium are all acceptable. If you prefer ano...

A batch of digital files (e.g., PDFs) contains plain text that must be transferred, line by line, into a structured Excel workbook. The task is entirely text-based—no numbers or calculations—so accuracy in spelling, punctuation, and spacing is essential. I will supply the PDFs and a template spreadsheet with the required column headers. Your job is to read each PDF, capture the relevant text exactly as it appears, and place it in the corresponding cells. If a PDF page includes headers, footers, or incidental content, leave those out unless I flag them as needed. Deliverables: • Completed Excel file populated with the extracted text • A brief note highlighting any unreadable characters or ambiguous passages Before starting, confirm you can open standard PDFs and w...

My security unit overwrites footage after two days, yet I still see traces of 6 August files when I scan the disk (57 GB capacity, 53 GB in use) with “Restore My Files.” This tells me the data from 3 August—and hopefully the neighbouring days—is still lingering in unallocated space. I need those 3 August recordings brought back and saved directly onto the same device in their original MP4 format. If you can rescue anything just before or after that date as well, even better, but the 3 August material is the priority. You will have remote or on-site access to the drive image, whichever is safer for data integrity, and I’m happy to create a sector-by-sector clone if you instruct me. Please outline the recovery workflow you intend to follow, the tools you trust...

I have a set of online databases that need to be mined and transcribed into a single, well-structured Excel spreadsheet. The records contain a mix of text fields and numeric values—company names, addresses, IDs, dates, prices, and similar content—so careful attention to formatting is essential. I will provide: • Direct links or login credentials for each database • A template workbook that defines the exact column order and data-validation rules Your job is to: • Retrieve each record from the specified sources • Copy every text and number field accurately, preserving spelling, capitalization, and numerical precision • Populate the workbook sheet-by-sheet, adhering to the template’s data types, drop-downs, and conditional formats Quali...

I have a collection of PDF files filled with text-based content. The information I need copied is confined to the Introduction and Summary sections of each document, and the text in those sections appears only as flowing paragraphs—no tables or bullet points. Your task is straightforward: open each PDF, isolate every word from the specified two sections, and enter the material accurately into an Excel workbook I’ll provide. Each PDF should occupy its own row, with separate columns for the Introduction and for the Summary so I can filter and sort later. Accuracy is critical: line breaks do not matter, but every sentence and keyword must be captured exactly as written, without omissions, additions, or spelling changes. If a file is unreadable or the required sections are missin...

I need the content of several PDF files—each combining text fields like names or descriptions with associated numbers such as quantities and prices—typed cleanly into a single Excel spreadsheet. I will share a simple template so every column lines up the same way across all records. Accuracy is more important than speed: dates must stay in date format, currency values in number format, and spellings must match the source exactly. Once the transfer is complete, give the file a quick pass using Excel’s basic validations (filters, totals) to catch obvious slips before you return it. If any figure is hard to read or a label seems unclear, flag the cell in yellow so I can double-check later. Deliverable: • One fully populated .xlsx file that mirrors the PDFs, ready for ...

I have an RFID reader that must talk directly to an Android device over Bluetooth, but the manufacturer never released an SDK. I need someone who can reverse-engineer or otherwise interpret the reader’s raw Bluetooth packets, pull out the numeric data stored on each tag, and feed that information into a brand-new Android app built specifically for this purpose. Here’s how I picture the workflow: • The app scans for and pairs with the reader via standard Bluetooth settings. • Once connected, it listens for the reader’s data stream, decodes each frame, and extracts only the numeric payload from every tag scan. • The app then displays the tag number on screen in real-time (simple list view is fine for now) and stores it locally for later export. I can p...

I need a turnkey script that logs into Facebook Marketplace, navigates through every active “Cars for Sale” listing, and extracts only the seller’s contact information—name, profile URL, any displayed phone number, and the direct Messenger link. The script should save these fields to a clean, well-formatted CSV and refresh the file automatically every day without manual intervention. Please build it in Python; Selenium, Playwright, or a similarly reliable headless solution is fine as long as it can handle Facebook’s infinite scrolling, dynamic content, and occasional anti-bot measures. Cookie-based login or a secure credential file is acceptable, but the process must stay within Facebook’s terms of service. I’ll deploy this on an Ubuntu VPS, so in...

I have a set of PDFs whose contents—straightforward text and numbers—are already laid out in neat, highly structured tables. All I need is for that information to live in an Excel workbook, arranged in simple, standard columns and rows so I can sort, filter, and run quick calculations without fighting with formatting. Speed is welcome, but accuracy is critical. Every value must match the source exactly, including any decimal places or units shown in the files. Typos, misplaced rows, or skipped entries will break the downstream reports that depend on this sheet. Deliverable: • One clean .xlsx file containing every record from the PDFs, with each original column preserved in the same order across all pages. I’m open to whatever method you prefer—manual entry, ...

I have a collection of PDFs that I need transferred into a clean, fully-editable Excel workbook. The PDFs hold consistent rows and columns of information, and accuracy is critical—no missing fields, no transcription errors, and columns must match the source order exactly. Here is what I expect from you: • Manually or semi-automatically extract every data point from the PDFs. • Set up the spreadsheet with clear headers, proper data types, and tidy formatting so I can filter or sort without extra work. • Double-check totals and any calculated fields against the original documents to be sure nothing was lost in translation. I will supply the PDFs as soon as the project starts and am available for quick clarification along the way. Your final hand-off is one Ex...

We have thousands of websites we need scraped and are looking for someone who has done this professionally. You need to be able to run many scrapers simultaneously and deliver clean data in CSV format. This is a long term position for the right person. We are looking for someone who can dedicate full focus and time to this work rather than splitting attention across many clients. If the fit is right, this is ongoing work for a year or more. Must know Python, Scrapy, Playwright or Selenium. Starting with a paid test task to verify quality before committing. Skills: Web Scraping, Python, Scrapy, Selenium, Data Mining, Data Extraction, Beautiful Soup, CSV How to pay: Pay by the hour Estimated budget: $2 to $3 USD per hour

I need a robust script or small application that can automatically collect every publicly available resume it finds for Las Vegas-based candidates on Indeed, LinkedIn, Glassdoor, and any other open sites or resume repositories you know of. For each profile the scrape should capture the person’s name, phone number, email address, and any stated work-experience details. Scope • Boards: Indeed, LinkedIn, Glassdoor are mandatory; feel free to add Craigs list, CareerBuilder, or niche sites as long as they host downloadable resumes or profile data. • Industries: no narrow filter—I’m interested in technology, healthcare, finance, hospitality, construction, and any “various jobs” you come across. • Geography: restrict to the greater Las Vegas are...

I’m looking for a fast-turnaround solution that takes the repetitive data-extraction work off my hands entirely. The goal is simple: I give you a set of target pages, and your script logs in if needed, navigates through the required paths, grabs the specific fields I specify, and deposits the results in a clean CSV or JSON file ready for downstream use. I don’t want a one-off scrape; I need true process automation. The code should be reusable, easy for me to schedule, and resilient to minor layout changes. Python with Selenium, Playwright or a headless browser is fine—as long as it’s well commented and comes with a quick README so I can run it on my own machine or a small VPS. Because I need this ASAP, clarity is critical. Once you’re onboard, I’ll...

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl

Role: Data Cleaning Specialist. Cleaned and structured 736 unorganized entries into a professional Excel dataset. Applied logic-based techniques to extract Name, Address, City, State, and Postal Code from mixed data. Handled multiple patterns including individual names, company names, numeric addresses, P.O. Box formats, and dot-delimited entries. Removed inconsistencies, standardized formatting, and organized data into a clean, filterabl