Extracción de datos Jobs

Data Sniper B2B (República Dominicana) - Cacería de Vacantes y Números Telefónicos A MISIÓN EXACTA (QUÉ VAS A BUSCAR): No busco listas estáticas. Tu única misión es rastrear empresas en República Dominicana que tengan POSICIONES / VACANTES ABIERTAS (preferiblemente mandos medios y gerencias que lleven días estancadas). La vacante abierta es el único disparador válido para extraer al prospecto. EL ENTREGABLE DIARIO (80 Prospectos): Entregarás la data en nuestra matriz de 12 campos. ATENCIÓN: EL TELÉFONO ES EL REY. El correo electrónico es secundario. Si me entregas un prospecto con un correo perfecto pero sin número de teléfono válido para contactar a...

I need a clean, research-driven spreadsheet containing at least ten thousand U.S.–based angel investors. The key field for me is a fully verified email address, and I will be running the list through my own email validation software, so every record must already pass a reputable validation tool before it reaches me. Along with the email, each row should also include the investor’s direct contact number, physical mailing address, LinkedIn profile URL and a brief note of past investment history. All data must belong to active individual angels—not funds or generic “info@” accounts—and no duplicates. Please deliver the file in Excel (.xlsx), one investor per row, with clear column headers. I will spot-check a random sample; any hard bounces or obvious...

Project Description: We are looking for a freelancer to help with a data research and filtering task using LinkedIn Sales Navigator and some online tools. Workflow: 1. I will provide LinkedIn Sales Navigator filter criteria to find companies. 2. Using those filters, you need to extract the list of companies from Sales Navigator. 3. For each company, collect: - Company name - LinkedIn company page - Website domain 4. Next, check the MX records of each website using the MX checker link that I will provide. 5. If the domain uses Google Workspace (Google MX records) → proceed to the next step. 6. Then check the BIMI record using the BIMI checker link I will provide. 7. If: - MX = Google Workspace - BIMI = Not enabled → Then collect: - CEO LinkedIn pr...

I have a curated list of specific company websites and I need an automated solution that extracts complete contact information from each one. The goal is to turn every URL into a clean, ready-to-use lead. WEBSITE : The scraper should capture: • Email addresses • Phone numbers • Mailing addresses • LinkedIn profile link • Location (city / state / country) • First and last name • Occupation / job title • Company name • Company website A well-structured CSV or Excel file is the preferred output, with each field in its own column. I am comfortable with your choice of tech—Python with BeautifulSoup, Scrapy, or Selenium are all fine—as long as the script runs reliably and respects and rate limits where required. Ac...

Project Title: Python Developer Needed for Quantitative Research Engine (Data + Modeling System) Project Description: I am looking for an experienced Python developer with strong skills in data engineering, statistics, and quantitative modeling to build a production-quality research system. The project involves building a backend engine that ingests structured data from several APIs, stores it in a relational database, performs statistical modeling and probability estimation, and produces analytical outputs that can be used for research and decision-making. The system should be built like a professional quantitative research platform rather than a simple script. It will require automated data ingestion pipelines, normalization of multiple data sources, historical data storage, model eval...

Data Science Competition in the HAGO Community We invite all data enthusiasts and creative minds to join a unique challenge within the HAGO community to form a team of data scientists, aiming to participate in global competitions and analyze financial markets and stocks. Challenge Topic We provide a comprehensive dataset covering: Electric Vehicle (EV) performance. Charging behavior. Battery health. Cost analysis across different manufacturers, models, regions, and usage types. Participants are required to: Explore and analyze the dataset. Build accurate predictive models. Present innovative insights into the future of electric vehicles. Submission Guidelines Submit a file written in Python, including all steps of analysis and prediction. Save the file as a PDF and upload it u...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

Title Build Comprehensive Global Movie & TV Metadata Database for Recommendation Engine Project Overview I am building a personal recommendation engine that predicts my rating for movies and TV shows based on a large history of titles I have already rated. To support accurate predictions, I need a global media metadata database that contains rich structured information for movies and TV series. The dataset should combine multiple trusted sources and be designed for machine-learning comparison against my rating history. Scope of Work Build a master dataset containing global movie and TV metadata. This will serve as the candidate pool for prediction models. The database should include titles from: • IMDb official dataset • The Movie Database API • Optional enri...

PROJECT TITLE Web Scraping Developer for Global Legal & Regulatory Data Collection PROJECT OVERVIEW We are looking for a developer who can build an automated system to collect legal and regulatory documents from multiple global sources. The goal is to create a scalable automated pipeline that can gather legal data across multiple jurisdictions and regulatory domains. DATA COLLECTION SCOPE The system will collect information related to: - Medical law and healthcare regulation - Medical advertising regulation - Corporate formation and company governance laws - Investment regulation (stocks, cryptocurrency, real estate) - Tax law and administrative tax rulings - Beauty and cosmetic regulation - Medical and cosmetic manufacturing compliance - Import and export law - Customs and tariff...

PROJECT TITLE Global Legal & Regulatory Data Research Project (Medical Law, Corporate Law, Investment Law, Tax, Cosmetics Regulation, Import/Export) PROJECT OVERVIEW We are building a global regulatory knowledge database and are looking for experienced freelancers or research teams who can collect and organize legal and regulatory documents from multiple countries. The goal of this project is to gather large volumes of official legal documents, regulations, case law, administrative guidance, and regulatory frameworks related to healthcare, corporate operations, investment, taxation, cosmetics and manufacturing regulation, international trade, and related compliance areas. RESEARCH SCOPE The research scope may include but is not limited to: - Medical law and healthcare regulation - ...

I am compiling an up-to-date list of high-net-worth individuals and senior business leaders living or working in Mumbai. The focus is on decision makers from the Finance , Banking, IT industry and Technology sectors only. For every contact I need the following fields completed: full name, direct mobile number, current designation, company name, precise Mumbai location, and either annual or monthly income (whichever is available). The roles that qualify are strictly CEO/Founder, Director/VP, and Manager/Head of Department. Please omit anyone outside those titles or industries. Deliver the finished dataset in a single, clean Excel workbook. • Each column clearly labelled. • No duplicates or generic board lines; only direct, verifiable numbers. • Data must be current&md...

We are looking for participants living in Italy, Spain, Poland, Romania, South Africa, Argentina, Brazil, Netherlands, Greece, Croatia, Philippines, India, and Mexico for a simple data collection task. The task involves recording short videos and taking photos of your face while performing specific facial movements and gestures. This is a self-guided task that you can complete at home. The recordings will include: Normal face (no obstruction) Face partially covered with items such as glasses, masks, head coverings, or makeup that changes facial appearance Before starting, you will complete a short survey to confirm eligibility and basic details. Based on your answers, you will receive the instructions for your task. Task Details Record 15–20 second videos or take images of y...

Thanks for looking. I urgently need data for a set of local businesses in and around Berkshire and London UK. We will pay per 2k list of the industries we will send upon acceptance. Email addresses must not be role based or trip any spam traps. I need a one-time extraction of verified email addresses from reputable online business directories. No other data fields are required—just the clean list of emails. Please choose whatever approach you prefer—Python with Scrapy/BeautifulSoup, browser automation with Selenium, or a similar tool chain—as long as the result is accurate and the scraping respects each site’s terms of service and rate limits. Deliverable • A CSV or XLSX file containing every unique email address you capture, de-duplicated and ready ...

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, ...

I am looking for a part-time Python developer to build a dynamic financial simulation and data visualization tool. We are currently in a strategic planning phase where we need to model various **exit scenarios** and calculate **profit potential** based on fluctuating market variables. The goal is to move from "uncertain claims" to "data-driven probabilities." ### **Key Responsibilities / Scope of Work** * **Dynamic Modeling:** Create a Python-based simulation engine that accepts multiple inputs (revenue growth, operational costs, market multiples) to project ROI. * **Exit Scenario Analysis:** Build logic to test different exit criteria (e.g., acquisition at Year 3 vs. Year 5) and their impact on terminal value. * **Data Integration:** Fetch and process market benchma...

I need a comprehensive background check on lawyer Robby E. Myers to verify his legitimacy and ensure I'm not being scammed. I'm looking for detailed information on the following: - Background and biography - Criminal history - Connection to specific incidents Ideal Skills and Experience: - Experience in conducting background checks - Access to public records and databases - Ability to analyze news articles and social media profiles - Strong research skills and attention to detail Please provide a detailed report with your findings.

I’m in the UK and need a fresh, reliable list of genuine car importers across Europe, Asia and Africa. For every company you include, I must have full contact details, the specific makes or categories of vehicles they handle and a realistic picture of their monthly or annual import volume. Please double-check each entry—phone or email verification rather than simple web scraping—so I can reach out with confidence. Organise everything by region and deliver the final list as a well-formatted PDF report, complete with a one-page executive summary of totals. I’ll spot-check roughly 10 % of the leads; once they prove accurate, the milestone is complete. If you’ve sourced automotive contacts before, a quick note about a similar project will help me choose the ...

Overview We are seeking an experienced Laravel Developer / Automation Engineer to architect and build a self-sustaining system that gathers publicly available contact and professional information for individuals working in the low-voltage industry (e.g., low-voltage technicians, structured cabling installers, fire alarm techs, security system installers, access control technicians, etc.). The system will collect relevant professional data from platforms such as LinkedIn and additional job boards where users publicly publish resume and profile information. The final solution must: Operate autonomously once deployed Allow geo-targeted searches by specific City/State Store structured data in a database designed like a spreadsheet Provide exportable, filterable datasets (CSV/Excel) ...

I’m assembling a nationwide database of beauty-salon owners in the United States from the following cities 1. Miami 2. Las Vegas 3. Atlanta 4. Charlotte 5. Orlando & Tampa 6. Phoenix 7. Houston 8. New York 9. **San Francisco & Los Angeles 10. Chicago • Owner’s full name with current phone number and email address • Business name with complete street address (city, state, ZIP) • Key service specialties the shop promotes (e.g., fades, coloring, micro-blading, etc.) Accuracy is critical, so I will spot-check contact details and discard any duplicates or outdated entries. Please provide the finished list in a clean spreadsheet or CSV that I can filter and sort easily. If you already have a recent, reliable dataset, let m...

I need help with cleaning and analyzing a mixed dataset. The data is currently unstructured, and I need it normalized before analysis. Key Tasks: - Normalize data to prepare for analysis - Analyze data to identify patterns and trends Ideal Skills and Experience: - Proficiency in data cleaning tools - Experience with mixed data types - Strong analytical skills to identify patterns - SPSS - R - Excel

I’m running an academic study and need a reliable partner to gather a clean, well-structured dataset. The precise source is still open—fresh survey responses, publicly available web data, or even existing transactional records are all on the table. What matters is that the data be captured ethically, documented thoroughly, and delivered in a format ready for statistical analysis. Here’s what I need from you: • A brief proposal outlining the collection strategy, recommended tools (e.g., Qualtrics, Python/BeautifulSoup, Selenium, SQL, Excel), and estimated timeline • The final dataset in CSV or equivalent, fully de-duplicated and consistently formatted • A concise data dictionary describing each variable • A short methodology note (1-2 pages) exp...

We own social media sites like Wellington LIVE, Knock Knock and 15 community facebook groups. Approx 500,000 profiles. We want to scrape Realestate sentiment, and buyer intent our owned pages,,our web sites and from external platforms such as Google, , Trade Me, Stuff, Herald and OneRoof, reddit and any other public forums. Build the AI intent detection engine that identifies property buyer comments, classifies hot/cold leads, applies internal profile masking, and triggers funnels. Then Focus on AI enrichment agents, CRM sync, follow-ups and automation scaling. When buyer intent appears, the system will classify it and push the user into a compliant lead capture funnel, into a realestate agents dashboard as a new warm or hot lead. On platforms we own, we can directly trigger forms and bo...

I want to turn raw datasets into clear, data-driven insights through an AI-powered analysis workflow. The goal is a self-contained solution that ingests spreadsheets or database exports, cleans and transforms the information, uncovers meaningful patterns and trends, then delivers the results as shareable files and a concise report or dashboard. You may choose the most effective stack—Python with Pandas, scikit-learn, TensorFlow, or similar—so long as it runs reproducibly on a standard Linux environment. I will supply sample data and outline the business questions once we start; from there I expect you to design and code the pipeline, select suitable algorithms, train and validate any models, and document every step clearly. Deliverables • Well-structured, commented sou...