Datascraping Jobs

I have a queue of digital application forms that must be transferred into our web-based system quickly and with zero errors. All information is already collected; I simply need each field copied into the correct place, double-checked for accuracy, and submitted. Here’s what I expect: • Log in to the portal I provide and fill out each application form exactly as written in the source documents. • Validate spelling, dates, and numeric fields before final submission. • Flag any missing or unclear details so I can resolve them right away. • Keep all applicant data strictly confidential. I will supply a short set of instructions, a sample completed form, and batch files in easy-to-read format. Please let me know how many forms you can handle daily and you...

Each month I have a small, repeatable task that takes about half an hour: entering and checking mixed text-and-numeric data that arrives in a spreadsheet. The flow is always the same, so once you understand the routine it should feel quick and predictable. Accuracy matters more than speed, and I need the file returned on the agreed date every month without exception. Because the dataset is drawn directly from spreadsheets, you’ll simply open the source sheet, copy or key the mixed fields into the target file, make sure everything lines up exactly, then save and send it back. That’s it—no complex formulas, no macros, just careful data handling. I’m only able to work with U.S.-based freelancers for this role. If you have reliable month-to-month availability and a ...

I run a local service company in Rochester, NY that provides snow plowing and removal, lawn care and mowing, fence installation or repair, sealcoating, driveway repair, landscaping, and seasonal clean-ups. I need a clean, well-structured Excel database of at least 500 small, locally owned businesses within roughly a 50-mile radius of Rochester, NY that would be potential customers for my services. These are businesses that have commercial properties requiring outdoor maintenance — think medical offices, dental clinics, restaurants, retail stores, shopping plazas, warehouses, churches, daycares, car dealerships, office buildings, apartment complexes, hotels, banks, etc. Basically any local business with a property that needs lawn care, snow removal, landscaping, or general grounds ma...

I have a quick two-day lead-generation sprint and need a confident telecaller who thrives on cold outreach. Your mission is simple and focused: produce 15–20 fresh, verified contacts from the Criteria I provide. Here’s what the task looks like in practice: you’ll source or scrape potential numbers, place the outbound calls, and secure each prospect’s direct phone number and verified email address. Every contact must work for Instituition names that I will provide Deliverables (all in a single Excel or Google Sheet): • Company name and city • Prospect’s full name and job title • Direct phone number (mobile or direct line) • Valid email address (bounce-free) Acceptance criteria: • Minimum 15 leads, maximum 20, delivered with...

I need a concise list of ultra-short usernames—only two or three characters long—that could realistically be registered or claimed on today’s major social or SaaS platforms. Every name may combine letters and numbers in any order; there is no requirement to start with a letter, end with a number, or follow a fixed pattern. Your task is to research availability, compile the candidates, and deliver them in a simple spreadsheet showing: • the exact username • the platform on which it’s currently available (please check at least the big four: Twitter/X, Instagram, TikTok, and GitHub) • the date/time you verified it I’m interested solely in these ultra-short handles, so skip anything longer than three characters. A clean, well-organized ...

Reply back. i have a Propstream Account I need a clean, ready-to-use lead file built from two sources—Propstream and Apollo.io. From Propstream, the focus is commercial properties and apartment assets; every record must include full property details plus up-to-date owner contact information. will serve as a second source so the final list contains additional prospects pulled from that platform (matching or related to the same asset classes). All data must be scraped, deduped, and formatted in a single spreadsheet so I can sort, filter, and launch campaigns immediately. Use whatever stack you prefer—Python, Selenium, BeautifulSoup, Apify, or similar—but the workflow has to respect each site’s TOS and deliver reliable results. Deliverables • CSV/Excel...

I have a list of roughly 1500 URLs—each coming from the same automotive website—that together cover the top 100 makes, models, grades and variants sold in Australia. I need every data point the site makes available for each of those vehicles, from the obvious specs such as year, make, model and variant right through to driveway prices, engine type, transmission, drive configuration, warranty details, fuel-economy figures, in-car technology features, seating layouts and any other attributes exposed on the page. The end goal is a clean, analysis-ready Excel workbook that lets me run market-wide comparisons, so consistency is critical: headings must be standardised, units normalised and categorical values written the same way across the entire sheet. I am happy for you to use P...

I’m looking for a fresh 2026 updated dataset of U.S. residential contacts that I can drop straight into my campaigns without worrying about bad emails or dead phone numbers. The file must cover every state and include only individuals aged 45 or older. For each contact I need a full name, a working email address, and a reachable phone number. Approx data count according to the USA demographics should be around 100-120 millions I’ll be running the list through ZeroBounce and similar verification tools, so I expect a true 0 % bounce rate. Please deliver everything as a statewise well-structured CSV so I can import it immediately. Deliverables • One/Multiple CSV containing validated records (name, email, phone, age 45+) for all 50 states • Verification repo...

Each month I have a small, repeatable task that takes about half an hour: entering and checking mixed text-and-numeric data that arrives in a spreadsheet. The flow is always the same, so once you understand the routine it should feel quick and predictable. Accuracy matters more than speed, and I need the file returned on the agreed date every month without exception. Because the dataset is drawn directly from spreadsheets, you’ll simply open the source sheet, copy or key the mixed fields into the target file, make sure everything lines up exactly, then save and send it back. That’s it—no complex formulas, no macros, just careful data handling. I’m only able to work with U.S.-based freelancers for this role. If you have reliable month-to-month availability and a ...

I have several datasets that need to be transformed into clean, well-structured information. At this stage I’m still defining the exact scope, so I’m open to a range of data-writing approaches—whether that involves straightforward data entry from spreadsheets, deeper analytical summaries drawn from a database, or shaping web-scraped records into a narrative that can power a report, a machine-learning pipeline, or an interactive dashboard. Here’s what I need from you: • A brief outline of how you would tackle the job once you see the raw files. • Your preferred tools—Excel, SQL, Python (Pandas, NumPy), or any other stack you’re comfortable with. • A sample of comparable work, if available, so I can gauge fit and style. • An es...

I need you to collect 1,000 product images, titles, and links from Temu. Just these three items. I think this should be pretty straightforward. If you do a good job, I’ll hire you on a long-term basis, as I’ll need someone to help me collect product information from Temu on an ongoing basis.

I have several Excel spreadsheets containing raw customer information that now need to be turned into a single, reliable data set. Your task is to go through the files, eliminate duplicates, fix obvious entry errors, standardise formats (names, phone numbers, email addresses, dates), and flag anything that looks inconsistent or suspicious. I will provide the spreadsheets plus a short style guide so you know exactly how each field should look when it is “clean”. You’re free to use any solid Excel-based method—formulas, Power Query, VBA, even third-party tools—so long as the end result meets the guidelines and can be inspected easily inside Excel. Deliverables • A cleaned master worksheet with all customer records consolidated and validated • A con...

I need a fresh dataset of 100,000 United-States–based companies delivered in a single Excel spreadsheet. Each row should contain four columns only: Company Name, Company Domain, CEO Full Name, and CEO Email Address. The file will feed an internal research project, so accuracy, recency, and proper formatting matter more to me than speed. What matters most: • Verified U.S. businesses (no subsidiaries registered abroad). • CEO details must match the domain’s current leadership—no outdated founders or generic “info@” emails. • Clean Excel formatting: one header row, no merged cells, UTF-8 characters intact. Before final delivery, I would like a random 200-row sample to spot-check for bounce-free emails and correct executive names. If more th...

I need a clean, well-segmented file of 10,000 active, verified email addresses drawn exclusively from professionals across the United States. The focus is on three core sectors: • Interior designers and decorators • Small contractors and builders • Kitchen and bath remodelers Names pulled from wallpaper installers, architects, or other adjacent trades are welcome only if they clearly fit one of the groups above; otherwise, please exclude them. Preferred harvesting grounds include Houzz, Google Maps, LinkedIn, and comparable industry directories where firm websites and direct decision-maker details are visible. I expect you to combine smart scraping techniques with manual cross-checks and a reputable validation tool so that every address passes a syntax, domain, an...

Hi, I need a data scraper who can scrap a data from provided sources. Skills : Core Technical Skills The freelancer should know Python (the most common scraping language) with libraries like Scrapy, BeautifulSoup, or Playwright. They should also be comfortable with browser automation tools like Selenium or Puppeteer (JavaScript-based), since sites like TipRanks are JavaScript-heavy and need a real browser to render. Anti-Bot Bypass Experience This is the most critical skill for your specific case. Look for someone experienced with handling CAPTCHAs (2Captcha, Anti-Captcha services), rotating proxies and residential IPs, spoofing browser headers and fingerprints, and bypassing Cloudflare or similar bot protection. TipRanks specifically uses these protections, so this experience is non-...

A reusable Python script is required to automate data scraping from a series of publicly accessible web pages. The script should accept a list of URLs, navigate through any paginated content, extract the specified fields, and save the results to CSV and JSON. The task suits someone with an intermediate grasp of Python who is comfortable working with libraries such as requests, BeautifulSoup, pandas, or, when a site relies on JavaScript, Selenium or Playwright. Clear, well-commented code and concise setup instructions are essential so the script can be dropped into an existing workflow without modification. Acceptance criteria and deliverables: • Fully functional .py script that runs from the command line. • Configuration section (or .env file) for URL list and field selec...

B2B Lead Generation – North America/EU/UK/AU - IT Services, Software, Digital Marketing, Consulting SMEs Receiving Cross-Border Payments Project Overview: I’m hiring a highly detail-oriented researcher/prospector to build a targeted list of Small & Medium Enterprises (SMEs) in the North America/EU/UK/AU/UAE working in industries like IT Services, Software, Digital Marketing, Consulting SMEs Receiving Cross-Border Payments. This is not a bulk data scraping task. The goal is to identify high-intent, relevant businesses that are already involved in cross-border transactions and would be strong prospects for a global payments solution. Ideal Company Profile (ICP): - Industry: IT Services, Software Development, Tech Consulting, Digital Agencies - Geography: United States &...

We are looking for an experienced full-stack developer/team to build a web-based platform that aggregates auction data (ELV and related categories) from multiple government and private websites. The goal is to create a centralized dashboard + automated notification system. Key Requirements: 1. Data Scraping / Extraction Extract auction data from multiple websites (government + private portals) Handle different formats (HTML, tables, PDFs if possible) Schedule automated scraping (daily) 2. Dashboard (Frontend) Build using React.js Features: List of auctions (filter, search, sort) Source-wise filtering Date-wise filtering Detailed view of each auction Clean, professional UI 3. Backend System API to manage data Store data in database Handle scraping jobs (cron/scheduler) Prevent duplicat...

Buscamos un(a) profesional con experiencia en **minería de datos y organización de información** para apoyar en la recopilación y estructuración de contactos empresariales. **Responsabilidades:** * Investigar información utilizando Google y otras fuentes en línea. * Navegar sitios web corporativos para identificar datos clave. * Recopilar nombre y cargo del contacto, empresa, número telefónico y correo electrónico. * Organizar y consolidar la información en una hoja de cálculo en Google Drive, asegurando precisión y orden. **Requisitos:** * Experiencia comprobable en minería de datos. * Habilidad para realizar búsquedas avanzadas en línea. * Experiencia en asistencia virtual ...

Build a cross-platform desktop bot that uses computer vision (template matching) to automate web form filling and data scraping — controlled through a web-based dashboard, with no Selenium or browser drivers. We need a vision-based UI automation bot capable of navigating real browsers (Chrome, Firefox, Brave, Opera) installed on the user's machine. The bot will fill web forms and scrape report data using image-based template matching — no browser drivers or Selenium. A local web UI will serve as the control dashboard for operators to input data, monitor progress, and handle errors manually when needed. Core requirements 1. Cross-platform support Must run natively on Windows, Linux, and macOS without platform-specific hacks. 2. Native browser control Open and control the...

Every time my Python - Flask data reader starts it throws an execution failure, halting the entire application. The crash occurs during startup—well before any web data is retrieved—so nothing ever reaches the UI. The reader should open Chrome, load a web, read the data from it, and pass the structured data downstream utill it reaches an excel file. I need you to trace the root cause of this startup failure, patch the code, and verify that the reader launches cleanly and delivers correctly formatted data . This software works on an specific webpage. Deliverables • Patched reader module that starts without errors and can finish the entire loop execution of the application. • Evidence (Files created Dynamically on my public server's shared files) confirming...

I will hand over my FootyStats login and a checklist of leagues (about 120 team-stats files in total). Once inside the dashboard, simply open each specified competition, grab the Team Statistics spreadsheet in CSV format, and ignore every match or player dataset you see. Folder structure must stay clean: one top-level directory, then a separate folder for each league named exactly as FootyStats labels it. Do not create season subfolders. When every CSV is in place, compress the whole directory into a single ZIP, upload it (Google Drive, Dropbox, WeTransfer—whatever is fastest), and send me the link here. Confidentiality is critical; please handle the credentials securely and delete them when the job is done. I will verify that all requested leagues are present and that none of the ...

We are hiring remote contributors to create photo-based language data using everyday materials found around you. This project focuses on collecting natural, real-life text captured through a phone camera. What You’ll Do - Photograph common objects that contain written text (printed or handwritten). - Provide three unique shots per item, changing position, distance, or lighting. - Ensure content is original and varied. - Most of the visible text (minimum 75%) must be in your local language. Eligibility - Fluent in the target language (native or near-native). - Physically located in a country where the language is used. - Own a smartphone capable of taking clear photos. How It Works - Upload images through a Google Form. - Submissions are reviewed individually. - Only valid, clear, ...