Data Scraping Jobs

I have a collection of Excel sheets that contain text-only fields. My goal is to consolidate, clean, and accurately re-enter this text data into a single, well-structured workbook that I will share with you at project start. The source material is already digital, so no deciphering of scans or handwriting is necessary—just meticulous copying, formatting, and validation inside Excel. Here’s what I need from you: • Transfer every text entry from the provided Excel files into the master template I supply. • Preserve spelling, punctuation, and line breaks exactly as they appear unless a clear typo is obvious, in which case flag it for confirmation. • Follow the column order and naming conventions in the template so the final workbook remains import-ready for m...

I need a clean, well-structured spreadsheet of independent Pop, Rock, Hip-Hop, Dance and R&B artists from Europe and North America. Each artist must sit below the 1 million monthly listener mark on Spotify, with a 'sweet spot' between 1K and 100K. Please research actively rather than scraping outdated databases; every entry should be fresh, accurate and ready for outreach. Deliverables: • Artist name • Email address • Contact first name (when available) • Contact last name (when available) • Spotify artist URL • Latest release • Primary genre • Current monthly listener count Acceptance criteria: – All qualified artists need to have a maximum of 100K monthly listeners on Spotify. – Minimum 500 qualified artists. – A...

Hi, I need to send a form message to all listings in all states - Here's directory - Data will be the same for all forms

I’m assembling a permission-friendly contact database and need your scraping expertise to do it right. Together we’ll agree on the exact niche, then you’ll hunt down the most relevant company sites and publicly available pages, extract the key details, and hand everything back cleaned, de-duplicated, and ready for outreach. What absolutely must appear for every record is the person’s name, a valid email address, and a phone number. When the site also lists a job title or city, capture those too—they’re useful but not compulsory. I’ll be running random spot checks, so accuracy and a clear audit trail (source URLs, time-stamp, etc.) are essential. Deliverables: • An Excel workbook with separate columns for Name, Email, Phone, Job Title, City...

Long term developer needed for ongoing support, update or replace trading module and adding value to established 18 month project. REQUIRED - experience of AI with trading charts, signals, orders to digital wallet and knowledge of crypto, scraping and API Main requirment - trading module not hitting Moving Average crosses and needs fixed or replaced, so please only apply if knowledge on syncronising MA signals with VWAP and then buy/sell orders sent to wallet. also issues with scraping website. -Bot been running for about a year and agents been knocked offline. -Bot uses chart info from online dex sources via data scraping to assist coin selection process -Bot also uses AI via OpenAI to anaylse trade opportunities. -telegram function to display trade info and AI output. -hosted on 5 li...

Virtual assistance for testing in Czech Republic Only for residents! We are looking for a QA specialist, a virtual assistant or a data scraper based in Czech Republic for fix price based cooperation on mobile applications. The ideal candidate must be detail-oriented, reliable, and able to strictly follow the provided instructions. No special skills are required to complete the testing

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...

I need a precise, well-structured prospecting list pulled directly from LinkedIn. The focus is my local market, and I want only the profiles that truly fit three roles: Commercial Brokers / Real Estate Agents, Commercial Lenders, and Attorneys who handle commercial real-estate transactions. From each profile you scrape, I must have: • Full name • Direct contact details (public-facing email, phone and cell phone) • Current company and position title A clean spreadsheet (Excel or Google Sheets) with these columns is the core deliverable. Please ensure the data is fresh, deduplicated, and sourced compliantly—no outdated contacts or generic info@ addresses. If you already use Sales Navigator, Phantombuster, Apollo, or similar tools, mention that in your proposal;...

I need a resourceful lead-gen specialist to uncover consumer prospects on Facebook, LinkedIn and Instagram. The goal is strictly B2C, so I’m after individuals rather than companies. You’ll hunt for active, real users who match my targeting criteria (which I’ll share once we start), then capture two key data points for each contact: a working phone number and a link to their social-media profile. No emails are required this time. Accuracy matters more than volume; every lead must be verified, current and relevant to the brief. Tools such as Facebook Graph Search, LinkedIn Sales Navigator, Instagram insights or your own scraping/automation stack are welcomed as long as they stay within each platform’s terms. Deliverables: • A clean spreadsheet (Excel o...

I need a responsive website that automatically pulls real-estate listings from , stores them in an internal database, and publishes them on my own domain under a clean front-end. Every listing should show price, location, property type, and bank name, with tags for residential, commercial, warehouse and other categories. Search & filter Users must be able to refine results by price range, location, property type, and bank name. Speed matters, so indexed search and server-side pagination should keep queries fast even as the database grows. Advertising Pages and individual listing views have to be ready for Google AdSense. Ad slots should follow best-practice placement without hurting Core Web Vitals. Data flow • Scheduled crawler or API pull grabs new listings from at lea...

Lead Gen tool. looking to build an automated system (agent/tool) that identifies and qualifies potential franchise partners in the mortgage financing sector across Switzerland. The system should discover leads from public sources, apply intelligent filtering, and send personalized outreach emails in the correct language (German, French, or English)—with minimal manual input. This is not a one-time list-building task. The goal is to create a repeatable, scalable lead-generation engine that we can run independently. Primary Objective Develop an automated workflow that: 1. Finds relevant professionals in Switzerland and other countries 2. Filters them based on defined criteria 3. Generates qualified leads 4. Sends personalized outreach emails 5. Logs everything in a str...

I want a reliable, AI-powered process that feeds my pipeline with fresh, qualified leads in two directions at once: B2B prospects in Technology, Healthcare and Finance, plus B2C prospects who are independent business owners. Here’s what I need from you: build or configure the right combination of data sources, enrichment tools and outreach automation so that I receive clean CSVs (or direct CRM pushes, if you prefer) of decision-makers and buyers who match those profiles. I’m open to your preferred stack—PhantomBuster, Apollo, Clay, custom Python scrapers, even GPT-powered enrichment—as long as it stays compliant with local data regulations and delivers accurate contact details. I’ll call the job complete when: • I can see at least 200 verified con...

I want a reliable, AI-powered process that feeds my pipeline with fresh, qualified leads in two directions at once: B2B prospects in Technology, Healthcare and Finance, plus B2C prospects who are independent business owners. Here’s what I need from you: build or configure the right combination of data sources, enrichment tools and outreach automation so that I receive clean CSVs (or direct CRM pushes, if you prefer) of decision-makers and buyers who match those profiles. I’m open to your preferred stack—PhantomBuster, Apollo, Clay, custom Python scrapers, even GPT-powered enrichment—as long as it stays compliant with local data regulations and delivers accurate contact details. I’ll call the job complete when: • I can see at least 200 verified con...

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 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...

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, ...