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I have a spreadsheet that blends text fields with numerical columns, and it needs a thorough clean-up inside Excel. The task centers on removing inconsistencies, catching and fixing obvious errors, standardising formats (dates, currencies, capitalisation), eliminating duplicates, and ensuring every column lines up for reliable analysis afterward. Your final hand-off should be a fully cleaned .xlsx file plus a quick “change log” sheet that summarises the main corrections so I can trace what was adjusted. If you have handled similar mixed-type datasets before, attach or link to a sample so I can gauge the quality of your past work. No macros or advanced scripting are required—just solid, accurate data cleaning performed directly in Excel and delivered error-free.

I’m sitting on a list of 500 Merchant IDs and I need every one of them matched with two key details: the public Seller Information page link plus the seller’s current email address and phone number. Speed matters—please treat this as an ASAP turn-around. You’re free to use any reliable method—manual lookup, advanced web scraping, data-mining tools, or a mix—as long as it stays within Amazon’s terms of service and the information is accurate and up to date. Deliverables (spreadsheet, Excel or Google Sheets): • Column A – Merchant ID (as provided) • Column B – Direct URL to the seller’s “Seller Info” or “Contact the Seller” page on • Column C – Seller email address • Colu...

I need fresh, accurate contact lists of decision makers at marketing agencies and related contractors across the United States. For every city you work on—starting with Dallas, New York, Los Angeles, Chicago, and —I’m expecting between 15,000 and 20,000 leads per city. Ultimately the project will cover 50-plus cities, so capacity to scale is important. What matters most is quality. Every record must: • Belong to a CEO/Founder or a Marketing Director (Sales Managers are useful but not required) • Contain a direct, non–catch-all email that has been fully sanitized and verified to keep the overall bounce rate below 1% • Be unique—no duplicates within or across cities You’re free to employ any combination of Apify, Python scrapers, A...

My team needs a steady flow of high-quality, verified B2B contacts from hospitals around the globe. The focus is exclusively on hospital-level organizations, not clinics or pharma firms, and the data must be suitable for enterprise-grade outreach campaigns. Scope of work • Build a rolling list of decision-makers—C-suite executives, department heads, procurement leads, and IT directors—working inside hospitals worldwide. • Provide each record with: full name, job title, hospital name, country, corporate email, direct phone (if available), LinkedIn URL, and a quick note on hospital size (beds or employee count). • Maintain at least 90 % email deliverability; I will run random samples through NeverBounce. • Supply the data in a clean CSV or Google Shee...

I need a skilled data scraper to gather contact information and member lists from social media sites and club websites. The data is to be used for marketing my products and should be delivered in an Excel spreadsheet. Requirements: - Experience with web scraping tools and software - Ability to navigate and extract data from various platforms - Proficiency in organizing and delivering data in Excel - Attention to detail to ensure accuracy of the scraped data Ideal Skills and Experience: - Previous experience in data scraping projects - Familiarity with social media platforms and club websites - Strong technical skills in data handling and Excel Please provide samples of previous work and an estimated timeline for completion.

I need fresh, accurate contact lists of decision makers at marketing agencies and related contractors across the United States. For every city you work on—starting with Dallas, New York, Los Angeles, Chicago, and —I’m expecting between 1,400 and 2,000 leads. Ultimately the project will cover 50-plus cities, so capacity to scale is important. What matters most is quality. Every record must: • Belong to a CEO/Founder or a Marketing Director (Sales Managers are useful but not required) • Contain a direct, non–catch-all email that has been fully sanitized and verified to keep the overall bounce rate below 1% • Be unique—no duplicates within or across cities You’re free to employ any combination of Apify, Python scrapers, AI enrichmen...

I need a reliable scraping solution that can pull comprehensive data from the Lebanese food-delivery app “Toters” and deliver it neatly in an Excel file. The core fields that matter to me are: • Restaurant information • Menu items and prices • Customer reviews • Sales per restaurant (priority) – and, if the platform exposes it, insights that help reveal the most profitable brands or best-selling items. I do not yet have an API key, so the approach may involve reverse-engineering mobile calls, browser automation, or any other method that respects rate limits and avoids getting blocked. Whatever technique you choose, the final output must be a clean, well-structured Excel workbook with separate sheets (or clearly labeled columns) for each data ca...

I need a clean, one-off extraction of all publicly available information from a specific website. While I haven’t finalised whether we will focus on text, images, tables or a mix of these, the goal is simple: capture everything of value in a single pass, package it neatly, and hand it over in a format that I can review and use immediately. A lightweight Python solution built with Scrapy, BeautifulSoup, Selenium or a similar stack is ideal so I can rerun it later if the site changes. Respect for and polite request throttling are essential; I do not want my IP blocked mid-job. Deliverables: • A well-commented script (Python preferred) • The scraped dataset in CSV/JSON (plus images if included) • A short README explaining setup, dependencies and how to run the scri...

I need a fresh, well-structured dataset of Business details pulled directly from Google Maps for the whole of India. The scope covers every city and state, so the final file should feel nationwide rather than limited to a handful of metros. Coaching Center Test preparation center Educational consultant Career guidance service Student career counseling office Tutoring service Private Tutor Education center Educational institution Learning center Studying center Training centre Academics Education Educational testing service Preparatory school Science academy Adult education school After school program Distance Learning Center Study at home school Private educational institution Public educational institution Higher education Students support association Students parents association Studen...

I need the text contained in a stack of physical documents keyed into a clean digital file and checked line-by-line for accuracy. The job is strictly text based—no numerical fields—so careful spelling and punctuation checks are expected. Once everything is entered I also need you to verify each entry against the original page to be sure nothing was missed or transposed. You may work in Excel, Google Sheets, or an equivalent tool; just let me know which you prefer so I can share a template. Deliver the completed file together with a brief log of any uncertainties or illegible sections you encounter along the way; I’ll review those against the originals. Accuracy is the priority here, so please outline the quality-control method you normally use (double entry, spell-check...

I have a small dataset—fewer than 1,000 rows—containing both text and numeric fields that I need accurately entered into an Excel workbook. The source files are ready to share as soon as we start. Your task is straightforward: transfer every record exactly as shown, double-checking that numbers stay numeric and text stays text, and keep the sheet tidy with consistent formatting. Once complete, a quick validation pass to confirm totals and spot-check a few random rows will wrap things up. If you’re fast, detail-oriented, and comfortable working in Excel, let’s get this done today.

I need a complete, up-to-date list of licensed doctors/clinics/hospitals practicing anywhere in the United States, delivered as a clean Excel workbook. For every doctor, the sheet must at minimum include: • NPI number • Full name (first, middle, last, suffix if any) • Primary practice address (street, city, state, ZIP) • Mailing address if different • Phone number and taxonomy code when available • Date the record was last verified I will run look-ups and filters directly inside Excel, so each field needs its own column and must be free of merged cells or hidden characters. Please pull the information from authoritative public sources such as the CMS NPPES registry or comparable datasets and note the retrieval method in a brief read-me tab. Befo...

I need help locating authentic police body-worn-camera footage that I can present in an ongoing legal case centered on human-rights issues. I already have experience searching court filings and open-records portals, so I will be able to check your leads quickly—I simply don’t have the hours right now to dig for new material. Here is what I’m looking for: • Recent footage (recorded within the past 12 months). • Captured in a specific jurisdiction that I will share once we start. • Clearly documents the activities and interactions relevant to the case; I will outline exactly what scenes are required after NDA signing. • Comes with verifiable source links—court docket, FOIA release, department website, or reputable news archive—so chai...