Data Scraping Jobs

I am looking for an experienced app designer and tech expert to fine tune an existing app design project done using Lovable. It has a heavy focus on scraping technology, so your experience will need to demonstrate relevant success with scraping and information processing. The app focuses on providing an AI-driven aggregation of information. Freelancers should provide examples of past work that highlight their expertise in mobile app design and e-commerce solutions, scraping and information processing. Experience with user-centric design and AI integration is necessary.

We're looking for an experienced Python developer to stabilize and enhance a production web scraper that's experiencing Cloudflare blocks, broken session handling, and WebSocket instability. The goal is to implement a robust, self-healing scraping pipeline with proper Redis integration. Requirements: - Strong Python experience with web scraping frameworks (Playwright, curl-cffi, Scrapy, or similar) - Hands-on experience bypassing Cloudflare challenges using TLS fingerprint matching and stealth techniques - Redis experience including session storage, TTL management, and pub-sub patterns - Experience with job queuing libraries such as BullMQ or RQ - WebSocket client implementation including reconnection logic, heartbeat management, and binary/JSON frame parsing - Ability to integr...

im looking for Data of all Nursing Home,Care homes, Supported living locations and any other Care settings in this sector, with client name, address, email addresses and Registered manager. current and in date. i am aware of the cqc data which comes in 2 files and an api tool which lists all cqc business in England. one has further details of Regsitered Managers. To me the key information needed is ithin these 2 excel sheets, the biggest missing information is the phone numbers, email of regsitered manager and the main cmpany email address. we will be targeting emails. so part of this will be to test data via email to both registered manager and company email, we will get bounce backs we expect there is on the one spreadsheet cqc direcotry servcie types in column G, however the are link...

I am looking for a reliable data specialist to gather 4,000 fresh, accurate, and fully verified leads of accounts receivable professionals from manufacturing companies in the USA. Each contact needs to include the individual’s full name, job title (e.g., Accounts Receivable Officer, Billing Specialist, Credit Control Officer, etc.), valid company email address (verified using email verification tools), and company name. Additionally, for every accounts receivable contact, the corresponding CEO or CFO (minimum senior-level executives) must also be included. Preferred platforms for sourcing these leads include LinkedIn, Apollo, ZoomInfo, Cognism, RocketReach, SalesIntel, Lusha, and UpLead to ensure the highest accuracy and quality for the data. Accuracy and verification of these lead...

I am preparing an email campaign for FullyVital’s hair-care line and need a ready-to-send list of 50,000 contacts. Every address must belong to consumers who are genuinely interested in hair care, live in North America, and fall within the 35 and over age range. The list has to be thoroughly scrubbed—no spam traps, no duplicates, no role accounts, and no previously blacklisted domains—so I can import it straight into my ESP without risking deliverability or compliance issues. I expect each contact to be opt-in and sourced ethically, with proof of consent available if required for CAN-SPAM or CASL checks. Standard fields such as email, first name, last name, state/province, and an optional interest or gender tag will let me segment the offer once it lands in my database. ...

I am preparing an email campaign for FullyVital’s hair-care line and need a ready-to-send list of 50,000 contacts. Every address must belong to consumers who are genuinely interested in hair care, live in North America, and fall within the 35 and over age range. The list has to be thoroughly scrubbed—no spam traps, no duplicates, no role accounts, and no previously blacklisted domains—so I can import it straight into my ESP without risking deliverability or compliance issues. I expect each contact to be opt-in and sourced ethically, with proof of consent available if required for CAN-SPAM or CASL checks. Standard fields such as email, first name, last name, state/province, and an optional interest or gender tag will let me segment the offer once it lands in my database. ...

I have several datasets in Excel/CSV format that need to be transferred, verified, and scrubbed for accuracy. Every record must be entered exactly as it appears in the source files, then checked for duplicates, incomplete rows, and obvious errors. Once the data is in place, I’d like all phone numbers brought to a single, consistent format so the file is ready for import into our CRM. You’ll be working solely with the Excel/CSV sheets I provide—no PDFs or scans—so strong command of spreadsheets and formulas is essential. A sharp eye for detail matters more than speed; I need each entry cross-checked against the original before moving on. If anything looks questionable, simply flag it and I’ll clarify. Deliverables • A cleaned, fully organized Excel/CSV f...

I want to build a full-featured price comparison tool similar to the core engine behind BuyHatke. The focus is strictly on comparing prices in real time, not on coupons or browser extensions. The system must work seamlessly on the web and be delivered as native iOS and Android apps so that users get the same experience regardless of device. Product coverage is intentionally broad—electronics today, groceries or apparel tomorrow—so the architecture has to let me add or remove categories without code-heavy changes. I will supply the list of partner stores and the desired data points; you will handle the crawling / API integrations, the matching logic that aligns identical SKUs across merchants, and the ranking algorithm that surfaces the best offer. A clean search interface, de...

I am preparing an email campaign for FullyVital’s hair-care line and need a ready-to-send list of 50,000 contacts. Every address must belong to consumers who are genuinely interested in hair care, live in North America, and fall within the 35 and over age range. The list has to be thoroughly scrubbed—no spam traps, no duplicates, no role accounts, and no previously blacklisted domains—so I can import it straight into my ESP without risking deliverability or compliance issues. I expect each contact to be opt-in and sourced ethically, with proof of consent available if required for CAN-SPAM or CASL checks. Standard fields such as email, first name, last name, state/province, and an optional interest or gender tag will let me segment the offer once it lands in my database. ...

I am preparing an email campaign for FullyVital’s hair-care line and need a ready-to-send list of 50,000 contacts. Every address must belong to consumers who are genuinely interested in hair care, live in North America, and fall within the 35 and over age range. The list has to be thoroughly scrubbed—no spam traps, no duplicates, no role accounts, and no previously blacklisted domains—so I can import it straight into my ESP without risking deliverability or compliance issues. I expect each contact to be opt-in and sourced ethically, with proof of consent available if required for CAN-SPAM or CASL checks. Standard fields such as email, first name, last name, state/province, and an optional interest or gender tag will let me segment the offer once it lands in my database. ...

I need a fresh, well-verified list of 100,000 active websites belonging to U.S.–based companies that have between 50 and 500 employees. For each domain, include exactly one senior decision-maker—President, CEO, or Owner—so that outreach can go straight to the top. Please deliver everything in a single CSV file. Each row should contain: • company name • website URL (live and reachable) • employee count (source noted) • C-level contact name and title I’ll run random checks on at least 5 % of the list; entries that bounce, lead to parked pages, or list the wrong employee range will be rejected. Aim for a 95 %+ validity rate so we can move forward quickly. Use whatever combination of tools or datasets you trust—LinkedIn Sales N...

I want a clean, well-structured contact list of Australian users who engage with water supplementation systems for livestock. The two sources I care about are the DIT AgTech Facebook presence and its LinkedIn network, and I value them both equally. From Facebook, I need each person’s name, any reliable contact details you can lawfully extract, plus evidence of their interests or activity that links them to livestock supplementation systems. From LinkedIn, collect the same core contact details and add their company or farm affiliation along with any professional background or activity that shows genuine involvement with supplementation technology. Please use AI-driven scraping or enrichment tools—Phantombuster, TexAu, Octoparse, Sales Navigator, or whatever combination you...

I need a freelancer to find one verified decision-maker (CEO, CTO, VP, Founder, or Managing Director) for each company domain. Provide the full name, job title , . Fixed price: ₹1 for every 4 domains completed. Here is the video samples to do this project -

Necesito una aplicación web para realizar consultas en varias plataformas gubernamentales y descargar PDFs de los datos. La aplicación debe ser desarrollada en Python y tener una interfaz gráfica de usuario. Requerimientos: - Consultar en: Registraduría, Contraloría, RUCOM, Procuraduría, Estado del RUT. - Descargar PDFs de los datos proporcionados. - Desarrollado en Python. - Interfaz gráfica de usuario es necesaria. Habilidades ideales: - Experiencia en desarrollo de aplicaciones web con Python. - Familiaridad con scraping de datos y APIs. - Habilidad para diseñar interfaces gráficas de usuario amigables.