Extracción de datos web Jobs

Necesito ayuda para desarrollar y optimizar un modelo de detección y segmentación en tiempo real basado en YOLO11n que procese videos de ultrasonido de resolución media. El foco principal es localizar con alta precisión la aguja, aunque también deben marcarse venas y arterias para dar contexto al operador. Alcance del trabajo • Entrenamiento y ajuste fino del modelo YOLO11n con un dataset de ultrasonido que aportaré. • Implementación de segmentación y tracking cuadro a cuadro para mostrar contornos superpuestos en vivo. • Optimización de velocidad de inferencia a nivel de GPU/CPU para mantener latencia mínima. • Entrega de código limpio en Python (PyTorch o framework equivalente), pesos ...

Quiero un script en Python que revise en tiempo real todas las acciones disponibles en Revolut y me envíe una alerta por Telegram cuando detecte una subida inminente del 5 % dentro de un intervalo de 5 min. Requisitos clave • Cobertura: el monitor debe abarcar todas las acciones listadas en la plataforma, sin exclusiones. • Frecuencia: chequeo continuo o, como máximo, con una latencia de segundos; no quiero perder ningún movimiento rápido. • Precisión muy alta: la lógica de cálculo debe minimizar falsos positivos y entregar la alerta solo cuando el diferencial de precio represente realmente un +5 % en menos de 5 min. • Notificación: el aviso debe entrar por Telegram (puedes usar bots de la API oficial). ...

Proyecto: API / Sistema de búsqueda de productos en múltiples tiendas (Texto + Foto tipo Lens) Estoy buscando un desarrollador freelance con experiencia en web scraping, desarrollo de APIs y reconocimiento de productos por imagen, para crear un sistema que permita buscar un producto en múltiples tiendas online al mismo tiempo. Objetivo Desarrollar una API (o sistema backend) donde yo pueda buscar productos de dos maneras: 1) Búsqueda por texto Ej: “iPhone 15 Pro 256GB” / “Zapatillas Nike Air Force blancas” 2) Búsqueda por imagen (tipo Google Lens) Subir una foto del producto y que el sistema intente identificarlo (marca/modelo) y luego busque coincidencias en las tiendas. El sistema debe consultar automáticamente una lista...

Necesito automatizar la consulta de la siguiente página del SRI: Al ingresar un RUC o cédula debo obtener y guardar en un archivo JSON estos campos exactos: • Estado de Contribuyente • Razón social • Indicador de “Contribuyente fantasma” • Actividad económica principal Requerimientos técnicos: – El script debe funcionar bajo llamada, es decir, pueda ejecutarlo manualmente cada vez que lo necesite con una lista de RUCs como entrada. – La salida debe ser un json por cada Identificación consultada. – Incluye un breve README con instrucciones de instalación y uso. Criterios de aceptación: 2. El tiempo medio por consulta no debe exceder lo razonable para evitar bl...

Proyecto: Sistema de Gestión Integral Rubro: Librería, Juguetería e Insumos de Computación (5.000 SKUs). A. Objetivos Principales Desarrollar o implementar una plataforma de gestión (ERP/POS) que agilice la venta masiva en mostrador, lleve control de stock (actualmente no lo tiene) y automatice la comparación de costos con proveedores para una compra inteligente y rápida o al menos facilite el proceso de compra con sistema de alertas en el caso de que el scraping no sea posible de realizarlo. B. Módulos Específicos Requeridos 1. Módulo de Compras e Inteligencia de Precios: • Web Scraping: El sistema debe conectarse a las URL de proveedores principales para extraer precios de costo en tiempo real. • Comparador...

1. CONTEXTO Y DESAFÍO REAL Proyecto del sector de la trefilería y el galvanizado con más de 40 líneas de producción activas. El desafío no es la falta de información, sino que el conocimiento crítico es volátil: reside en la experiencia de supervisores y operarios veteranos y se transmite de forma verbal. Cuando surge una solución técnica en planta, esta no se documenta y se pierde para el siguiente turno. Buscamos desarrollar un ecosistema de IA que no solo responda preguntas, sino que capture, valide, estructure y democratice el conocimiento técnico que surge en el día a día, creando una infraestructura de inteligencia industrial sostenible a largo plazo. 2. LA SOLUCIÓN: "THE ...

I’m building an automated, end-to-end pipeline that pulls results from a fast-changing election website every few minutes, cleans and enriches the feed with AI, then pushes out clear charts and graphs that highlight vote counts per party, regional voting trends, overall voter turnout and a concise statistical summary of the outcomes. There is an existing Google Data Studio (Looker) template available. The scope breaks down into three tightly-linked steps: • Data capture – a headless, resilient scraper (Selenium, Playwright or a similar tool) must track roughly 3 500 individual race entries across 17 political parties in six regions, coping smoothly with AJAX calls, pagination and any CAPTCHA or session refreshes. • AI-powered processing – once ingested, th...

I have a single video hosted on an external site (labelled here as URL 1). I need the entire video saved and delivered to me as a clean, high-quality MP4 (same resolution as the source, no re-encoding artefacts). Please handle any scraping, downloading or stream capture that’s required—whatever method is quickest and keeps quality intact. Once finished, send me the final file via a shareable download link along with a brief note on the exact resolution and duration so I can verify it matches the original. Here is the link:

Thumbnail Design Specialist • High-CTR Designs: Expert in creating eye-catching, high-click-through-rate (CTR) thumbnails that drive views and grow channels. • Visual Storytelling: Skilled at distilling complex video topics into a single, compelling image using vibrant colors and bold typography. • A/B Testing Knowledge: Deep understanding of YouTube/social media trends, ensuring your content stands out against competitors. • Quick Turnaround: Ability to deliver high-quality, professional assets within tight deadlines (often under 24 hours). Data Entry & Administrative Expert • 99% Accuracy Rate: Committed to delivering error-free data management, lead generation, and spreadsheet organization. • Software Proficiency: Advanced skills in Microsoft Excel (VLO...

I need a reliable script that pulls fresh product details and current prices from eBay every 24 hours and drops the results into a clean Excel workbook. The data points I absolutely need are: • Full product title • Item ID / listing URL • Current price (and currency) • Shipping cost if shown • Seller name and feedback score • Listing time-stamp so I can track changes day-to-day WORKFLOW OVERVIEW: You will receive: Images from Singapore card vendors showing buyback prices Use AI tools to: Identify the card from the image Search eBay: For recent SOLD listings of the same PSA card Extract: Actual accepted Best Offer prices Calculate: Total landed cost in SGD Compare: Vendor Buyback Price vs Total Cost Flag: Arbitrage opportunity if pro...

Saya membutuhkan bantuan entri data manual. Sumber data akan saya berikan berupa dokumen atau file terstruktur; tugas Anda hanyalah memindahkan setiap baris informasi secara teliti ke Google Sheets. Ruang lingkup: • Entri data manual, bukan scraping atau otomasi. • Tabel Google Sheets sudah saya siapkan; Anda cukup mengisi kolom sesuai petunjuk. • Pastikan akurasi 100 %—jumlah baris, ejaan, dan format numerik harus sama persis dengan sumber. Saya menghargai kecepatan, kerapian, dan kerahasiaan. Beri tahu berapa banyak baris yang dapat Anda selesaikan per hari dan contoh proyek serupa yang pernah Anda kerjakan.

I need to collect property sale date from either of these two websites: A. B. I need info they have like suburb name, property address, type, rooms, sold price, etc. I need to do it for list of 5 suburbs : manly, long jetty, etc. In case the scraping is disabled on the sites, for each of those suburbs you can go into that page: example: Then dump view page source into a text file. We can then use perplexity to extract that information from raw html file. Note: you need to provide instructions on how I can run the file locally as we need to run it each week since the data changes. The script needs to append extracted data into excel or Google sheet file

Google Search Trends Analysis (Python) ## Project Overview This project analyzes **Google Search Trends data** using Python to understand how a keyword's popularity changes over time and across regions. The analysis covers **15 countries**, compares **time-wise interest**, and explores **related keywords** to uncover search behavior patterns. ## Objectives * Analyze time-wise search interest of a keyword * Compare keyword popularity across 15 countries * Identify and analyze related search keywords * Visualize trends for better insights ## Tools & Technologies * Python * Pytrends (Google Trends API Wrapper) * Pandas * NumPy * Matplotlib * Seaborn * Jupyter Notebook ## Project Structure ``` ├── google data analysis # Main notebook ├── # Proj...

1. Add basic Captcha to - Will you be using a WordPress plug-in or some other application? If so, which plug-in will you use and how will it work? How long will it take to install it? 2. Stop website scraping. What application do you propose using that will stop website scraping? How effective is it? Will it stop all illegal bot scraping? Will it still allow legitimate search bots such as Google, Yahoo, etc. to search the website? 3. Create a new page titled 142-page Private Placement Memorandum example document. This Private Placement consists of 5 distinct documents that make up the Private Placement Memorandum (PPM). Offering Document – 60 Pages This document is given to the investor and does not need to be returned. Business Plan – 39 pages Addendum - A This doc...

We need a Python expert to build an end-to-end automated web-scraping and data-processing system for German B2B directories. The goal is to eliminate all manual steps — scraping, cleaning, deduplication, enrichment, and export — within 15 days. You’ll design and implement a high-speed, fault-tolerant pipeline that scrapes ~10 directories, normalizes data (including Umlauts and formatting), removes duplicates, detects updates, and exports clean structured data automatically. ⸻ Core Responsibilities • Develop asynchronous scraping system (Python 3.11+, aiohttp/httpx/Scrapy/Playwright). • Build deduplication & change-detection logic using hash comparison and timestamps. • Design and connect central database (PostgreSQL + SQLite) to store unique compa...

This project is a python scraper that will scrape dynamic changing prices from different websites everyday automatically thru cronjob. A couple of the websites have tokens that have to be initiated that keep changing. All of the sites are getting scraped except for one has a problem. You will fix that. This scraper is also inputting the incorrect price into our database and you will need to fix that as well. Heres how the system works: Prices are scraped from several theme park websites. Then they are ran thru a calculation algorithm to determine what our price should be. All the sites are inputting the correct prices except for universal. You will fix that (Currently its putting the scraped price in our database and not the calculated price like it should). All the calculations are ther...

Data Collection – Forex Cash Rates for 140 City-Destination Pairs 1. Objective We need to gather pricing data for Foreign Currency Notes (Cash) from the top 10 forex vendors in various Indian cities. You will simulate a transaction on their websites to capture the final landing cost (including hidden fees, taxes, and service charges). Scope: Product: Foreign Currency Notes (CASH only). Do NOT collect data for Forex Cards. Transaction Value: Approximately ₹40,000 INR per transaction. Total Pairs: 14 Indian Cities × 11 Foreign Destinations = 154 Pairs. Volume: Top 10 vendors per pair (approx. 1,500+ data points). 2. Input Data A. The 14 Indian Cities (Source Locations) Bangalore Delhi Mumbai Chennai Hyderabad Pune Kolkata Ahmedabad Kochi Lucknow Jaipur Surat Indore Ludhiana B. T...

Hello, I have an Excel file with 5000 rows. This file contains the names and websites of 5000 companies. What I need are the personal email addresses for the import, export departments. You can use apollo, rocketreach, hunter etc. Can you help me? Thank you.

Looking for a Google Maps Google My Business Lead Generator, 50,000 leads per order. This is for immediate work and opens doors to regular assignments with us. We are looking to work with a GMB expert scraper who knows how to manage similar keywords and area keywords to extract all the property and construction related businesses in England, UK for ongoing marketing campaigns. England only. Must use maximum granularity in category descriptors and area descriptors. Scope of work - Generate 50,000 leads from Google Maps. - Utilize Google My Business for lead generation. - Provide leads in specified format or system. - Data columns: Keyword Name Full_Address Street_Address City Zip Municipality State Country Timezone Phone_1 Phone_Standard_format Email Address Website Domain First_category ...

I already have a Zapier automation that hands a submitted Tally-form URL to a ChatGPT step, but right now GPT is not able to see everything on the website. I need the workflow upgraded so the ChatGPT step can “see” absolutely everything on that URL—headers, body copy, layout structure, CTAs, images, and any other visual element—before it starts writing the internal report that follows. Here is what I’m after: once a new Tally response triggers the Zap, an additional step (or steps) should grab the complete HTML of the provided link, break it out in a way GPT can handle its token limits, and then pass the full context into my existing ChatGPT action. The end result is richer, more accurate analysis that I’ll feed straight into our internal reports. Feel...

Experienced Data Scraper Needed – C-Level Contacts in Jewelry Retail (KSA & Qatar) Description: We are looking for a highly experienced and reliable data scraping specialist to collect accurate contact details of C-level executives and key decision makers from the jewelry retail industry in Saudi Arabia (KSA) and Qatar. If you only know basic scraping, this job is not for you. We need someone who understands data accuracy, validation, and structured delivery. Scope of Work: • Identify jewelry retail companies in KSA and Qatar • Extract verified details of: • CEO / Founder / Owner • Managing Director / General Manager • Head of Operations / Procurement / Retail • Provide the following data fields: • Full Name • Job Title • C...

I have a collection of websites that hold the textual information I need consolidated into a single, well-structured dataset. Rather than copying the material manually, I want the process handled through reliable web-scraping tools so the capture is fast, consistent, and repeatable. Your task is straightforward: • Build (or adapt) a scraper that targets the pages I specify, pulls only the relevant text, and skips ads, navigation links, and other noise. • Deliver the harvested content in a clean CSV or Excel file with clear column headings; if you prefer a database export, let me know and we can adjust. • Include the finished script or notebook so I can rerun the extraction later. Accuracy and formatting matter more to me than sheer speed, so please allow time for basic...

# Icon Library Collection & Metadata Extraction Project ## Project Overview I need a freelancer to download and organize 15 major open-source icon libraries with complete metadata extraction. This is for a professional printing service design tool. ## Scope: 15 Icon Libraries (All GitHub-based, Open Source) ### Tier 1 - Large Collections (Priority) 1. **Tabler Icons** - (~5,000 icons) 2. **Bootstrap Icons** - (~2,000 icons) 3. **Iconoir** - (~1,500 icons) 4. **Remix Icon** - (~3,000 icons) 5. **Material Design Icons (Community)** - (~7,000 icons) 6. **Font Awesome Free** - (~2,000 free icons) ### Tier 2 - Quality Collections 7. **Lucide** - (~1,400 icons) 8. **Heroicons** - (~300 icons) 9. **Phosphor Icons** - (~1,200 icons) 10. **Carbon Icons (IBM)** - (~2,000 icons) ##...

I’m ready to turn an idea into a working Chrome extension that makes it easier to land roles listed on Amazon Jobs. At this stage I know the core requirement: the add-on must run smoothly in Google Chrome and integrate directly with the Amazon Jobs site. Beyond that, I’m open to building in whichever features will give candidates the biggest advantage—whether that ends up being live job alerts, streamlined application auto-fill, advanced filtering or a thoughtful mix of all three. Here’s what I’m looking for you to do: • Help define the exact feature set and workflow after a quick discovery chat. • Design a clean, intuitive UI that feels native inside Chrome. • Build the extension with best-practice front-end tooling (Manifest V3, JavaScript/T...

I’ve created a Google Sheet that will act as a central “lead collector,” and I need it filled with fresh, accurate contact data pulled from publicly available sites. The focus is simple yet crucial: for every company you find, capture the homepage URL and a working email address. (ask for details in the sheet ) A completely ethical approach is non-negotiable—no gated content, no third-party lists, and no automated harvesting that violates site terms. I’m happy for you to use tools you’re comfortable with (Python, Scrapy, BeautifulSoup, Selenium, Google Apps Script, etc.) as long as you respect and rate limits. Email addresses must appear in plain text within the sheet; please avoid hyperlinks or HTML encoding. Deliverables • A Google Sheet ...

Project Title: Automated Web Scraper & AI Summarizer for Legal Documents (Italian Administrative Justice Portal) Project Overview: I need an automated workflow to monitor judicial rulings from the Italian Administrative Justice website (). The system should perform weekly searches based on dynamic keywords (e.g., "appalti"). Requirements: Web Scraping: Create a scraper (using Python/Playwright or Browse AI) that can bypass anti-bot protections, input keywords, and extract PDF links and metadata for rulings published in the last 7 days. Cloud Integration: Use (Integromat) to organize the results. For each keyword, create/update a specific Google Drive folder and upload the new PDFs. AI Processing: Integrate Google Gemini API to: Analyze the rulings within each folder. ...

I’m assembling a nationwide database of barbers and beauty-salon owners in the United States and need your help compiling it. Every record must be fully verified and include three data points: • 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 me know; otherwise, outline how you’ll source and verify each contact before I award the p...

Je veux constituer un annuaire exhaustif de toutes les bases nautiques en France métropolitaine et DOM-TOM offrant jetski, bouée tractée, flyboard, ski nautique, wakeboard, parachute ascensionnel ou encore location de bateaux. Pour y parvenir, j’ai besoin d’un workflow automatisé reposant exclusivement sur Google Maps – c’est la source retenue – capable de collecter, dédupliquer puis nettoyer les données avant de les mettre en forme dans un CSV directement importable dans le CMS Wix. Les coordonnées devront être fournies en degrés décimaux. Livrables attendus • Un script réutilisable (Python + Selenium, Scrapy ou équivalent) qui interroge Google Maps, gère le r...

PROJECT OVERVIEW I am looking for a detail-oriented researcher to perform a competitive analysis of the Restoration & Mitigation industry (Water, Fire, and Environmental services) in specific geographic regions. SCOPE OF WORK 1) Target Identification: Identify active service providers/contractors currently utilizing Google Local Service Ads (LSAs) within our target markets. 2) Data Extraction: For each qualifying business, compile a clean spreadsheet including: A - Company Name, Physical Address, website if applicable B - Primary Office Line. C - Key Decision Maker (Owner/Principal): Identify the primary point of contact. D - Direct Contact Information: Provide verified Direct Dials or business contact lines for the identified decision-maker. Requiremen...

Hello, I am building a small data collection tool for a medical AI research project. The goal is to collect doctor-patient role-play audio data and prepare it for AI training. I need a simple system with the following features: 1) Web-based interface (works on mobile and desktop) 2) Upload audio files (WAV/MP3) 3) Automatic speech-to-text using Whisper 4) Editable transcript (dialect correction) 5) Field for medical Arabic normalization 6) Term notes input 7) Automatic folder/package generation per session 8) Cloud storage (Google Drive / S3 or similar) This is Phase 1: Data collection only (no diagnosis, no reports). Tech preference: - Frontend: Web (React or simple HTML) - Backend: Python (Flask/FastAPI) - ASR: Whisper - Storage: Cloud + Local Deliverable: A working MVP that allow...

I need investment performance data scraped from a research website and organized into an Excel file. It needs to be set up for scraping on a regular basis. Requirements: - Experience with web scraping tools and techniques - Ability to extract and format data accurately - Proficiency in Excel - Attention to detail and reliability Ideal Skills: - Familiarity with Python, BeautifulSoup, or similar scraping libraries - Prior experience with financial data - Strong data handling and manipulation skills Please provide a sample of your previous work related to web scraping.

I have a collection of websites that contain the text I need organised in a single Excel spreadsheet. Your task is straightforward: visit each assigned site, copy the required text exactly as it appears, and paste it into the correct columns and rows of the workbook I supply. Accuracy and consistency matter more than speed. Please keep original spellings, line breaks, and capitalisation, and double-check that no unseen characters or extra spaces slip in. The spreadsheet already has headers; all you do is populate the empty cells beneath them. I will share: • The list of URLs • A short field-by-field guide so you know which snippet of text belongs in which column • The blank .xlsx file You return: • The completed Excel file, ready for me to import into our system ...

I need a compact Python crawler that pulls public content from Twitter, Instagram and LinkedIn, covering text, image and video posts for any handle I feed it. Here’s the flow I have in mind. The script collects the raw post data (caption, hashtags, basic engagement numbers and, where accessible, image/video URLs) through whichever mix of libraries makes sense—Tweepy or Twitter API v2 for Twitter, Instaloader or Selenium for Instagram, and the official or unofficial LinkedIn API for LinkedIn. After normalising everything into a common JSON schema, the crawler should pass that dataset to an LLM endpoint (OpenAI or similar) and receive back a concise, structured report that includes: • Brand sentiment (positive / neutral / negative trends) • Key thematic buckets t...

Scope of Work: Automated Data Extraction and Alert System from Etimad Tenders Portal Project Title: Automated Data Scraping, Google Sheets Integration, and Email Alerts for Etimad Pre-Planning Opportunities 1. Background The Etimad platform ( ) publishes pre-planning and upcoming tenders from Saudi government entities. The goal is to develop a fully automated system within two days that extracts tender data, stores it in a structured Google Sheet, and sends email alerts when new opportunities appear that match specific keywords (to be provided). 2. Objectives Automatically extract all relevant tender data from the Etimad Pre-Planning portal. Store and update the extracted data in Google Sheets on a scheduled basis. Detect and highlight new tenders. Send email alerts for new tenders...

Scrape Google For Emails For Cheap

I want a straightforward, low-cost way to pull every unique email address from well over 5,000 messages in my Gmail account. No names, phone numbers, or other fields—just the raw sender and recipient addresses that appear in the header or body of each email. You are free to tackle this with the Gmail API, IMAP, Google Apps Script, Python’s gmail-api-client, or any other method you trust, as long as it stays within Google’s usage limits and my account remains secure. Speed is important but data accuracy matters more; I need a clean list with duplicates removed and obvious bounces, “no-reply”, and Google system addresses filtered out. Deliverable • CSV or XLSX file containing every unique, valid email address extracted from the full mailbox. Acceptance...

Transferring this project from another freelancer. First thing I will need is my files uploaded to Github, and connected to the current hosting build on Railway server. Here is what I will need next: Show discovery (Looking for host) 1. Search overhaul. Database currently has around 250 shows pulled through YouTube API. Right now, I am in the process of getting a higher quota, however, I want to optimize the search, by using different keywords based on user's profile through AI so it does not try to analyze channels already searched. This section is for looking for Youtube channels AND Spotify shows that interview guest. 2. Open API integration to find the email contact of each channel. Users can also manually put an email in if there is none. If there is a website with a form, ...

CONTACT ENRICHMENT PROJECT: We need contact information (CEO/President, Plant Manager, Purchasing Manager) for automotive supplier companies. The "To Enrich" sheet contains companies that need contact data. The "Already Done" sheet shows completed examples. WHAT TO FILL IN (Yellow columns in "To Enrich" sheet): Column G: CEO/President Name Full name of CEO, President, Managing Director, or General Manager Column H: CEO/President Title Their exact title (e.g., CEO, President, Managing Director) Column I: CEO/President Email Professional email if available (not required) Column J: Purchasing Contact Name Name of Purchasing Manager, Procurement Director, or Head of Purchasing Column K: Purchasing Contact Title Their exact title Column L: Purchasing Contact ...

I need help extracting text data from CSV files and inputting it into a specified format or system. Requirements: - Experience with data extraction and manipulation - Proficiency in handling CSV files - Attention to detail to ensure accuracy - Ability to work within the specified budget Ideal Skills: - Data entry - Familiarity with spreadsheet software (e.g., Excel) - Basic understanding of data organization principles Looking for freelancers who can complete the task efficiently and accurately. this is the full requirment for the project Your Operational Requirements (Summary) 1) Quote & Job Intake Create quotes (Q-files) and job packs (J-files) as you do today Save them into SharePoint folders System automatically reads them and creates: Quote records Assets Tasks per as...

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I need a robust scraping solution that continuously pulls price, full product descriptions, and customer reviews for electronics across roughly ten different e-commerce sites. Each time the script runs, the results should append to a master Excel workbook so that every entry is stored chronologically—allowing me to compare today’s prices with yesterday’s and build long-term trend charts without any manual work. Key expectations • The scraper must visit all target URLs, handle pagination or lazy-loaded content where it exists, and respect each site’s structure. • Collected fields: date/time stamp, site name, product name, current price, full description text, average rating, review count, and a link to the product page. • Excel output: one sheet...

I already have a curated list of LinkedIn profile URLs and need the key networking details moved into a single Google Sheet. For every profile, capture each person’s stated interests and list the five types of people they say they want to meet. Those “meet-up” types should be tagged under the three clear categories I care about—Industry experts, Potential clients and Collaborators—so that I can later filter the sheet by networking goal. Please place one profile per row in the Google Sheet and create separate columns for: • Profile URL • Name (as it appears) • Interests (comma-separated) • Type 1 through Type 5 (verbatim wording) • Category tag (Industry experts / Potential clients / Collaborators) Accuracy of the text you...

I need a small utility that sits in the background, pings a single public web page every second, and alerts me the moment it detects any difference in either the visible text or the images. The page updates unpredictably, so true real-time tracking is essential; a one-minute polling interval is already too slow for my use-case. A lightweight approach that respects the site’s bandwidth and avoids triggering blocks or captchas will be valued. I am open to whatever stack you favour—Python with BeautifulSoup or Selenium, Node.js with Puppeteer, or a compiled solution—so long as it is stable on a Windows environment and easy for me to tweak the target URL later. Notification method is flexible: an email is fine, but if you have a smarter suggestion (desktop toast, webhoo...

I have an excel document of roughly 15,000 B2B companies operating in whole the world. For every company on that list, I need one working, business-grade email address. Preferred research channels are clear: • Company websites • LinkedIn profiles • Reputable public databases (apollo) Accuracy is more important than speed. If an address cannot be found after reasonable effort, note “No email found” in the sheet so I can audit the attempt. Deliverables: 1. Completed CSV or Excel file containing – Company name (as provided) – Discovered email address – Source link or brief source note 2. A short summary of any recurring issues you encountered (e.g., companies with only web forms). Please keep formatting consistent and a...

I need an end-to-end AI agent that automatically scouts freelancing websites, general job boards, and specialised training platforms for roles or courses that involve artificial-intelligence work. The agent must: • Crawl and scrape the relevant pages in real time or on a frequent schedule. • Apply NLP or other classification techniques to decide whether a posting is truly AI-related, then tag it by sub-domain (e.g. vision, NLP, MLOps, prompt-engineering). • Deliver concise, deduplicated listings to me through an in-app notification feed—no email or SMS required. For the deployment side I’m open to Python (Scrapy, BeautifulSoup, Selenium), Node, or any stack you are comfortable with so long as it is containerised and can run unattended on a small cloud insta...

I need a single Google Sheet that lets me type a Home Depot or Lowe’s model number in one column and, without any extra clicks, instantly fills the rest of the row with: • Brand • Product title • Full description • Current price on Home Depot • Current price on Lowe’s • Main image URL I’d like the sheet to refresh these fields automatically once every day so I always see up-to-date pricing. I’m happy to use the HASData API (or another service if you can show a better option), and I’ll cover the subscription cost myself; I just need you to wire everything up in Apps Script or another reliable method so the calls stay within API limits and don’t break if the catalog grows. Deliverables • A Google Sheet t...

Mam już w pełni działającego bota, którego głównym zadaniem jest monitorowanie dostępnych ofert na OLX i automatyczne wyszukiwanie tych, które spełniają określone kryteria. Chcę zarejestrować tę aplikację w Polskiej wersji portalu deweloperskim OLX, lecz mój pierwszy wniosek został odrzucony z powodu sugestii „Data Scraping/Competitor Monitoring”. Potrzebuję więc świeżego, zgodnego z polityką OLX opisu, który: • Spełnia wszystkie wymagania regulaminowe portalu i przechodzi proces weryfikacyjny bez zastrzeżeń. Oczekuję krótkiego, klarownego tekstu (PL + ewentualnie ENG), gotowego do wklejenia w formularz rejestracyjny oraz, jeśli to możliwe, wskazówek dotyczących dalszego procesu składania wniosku. Zależy mi na precyzji ję...

Title: Senior Python Developer for US Data Pipeline and iOS Verification System (Phase 1) Project Description Suggestion: Overview: > We are looking for a senior Python developer to build an automated data scraping and iOS verification pipeline based in the US. The goal for Phase 1 is to acquire over 10,000 verified leads per day. Core Tasks: 1. Data Scraping: Extract data (name, phone number, age, gender, carrier) from US people search websites. 2. Anti-detection: Must integrate the API and set render=true and super=true. 3. Data Filtering: Implement automatic filtering by wireless/phone number and age range (50-90 years old). 4. Data Verification: Integrate the LoopLookup API to verify iMessage activation status. 5. Data Export: Automatically sort and export data to tagged .t...

Hey! I’m looking to hire an experienced developer to build a universal product-detail scraping pipeline that takes a product URL (any website) and returns a complete structured product record. This is not a “simple HTML parse.” Many target sites are React/Next/Vue, load content via XHR/GraphQL, hide details behind tabs/accordions/modals, and lazy-load images/PDFs. The solution needs to reliably extract everything a human can see on the page, plus the underlying data used to render it. What the scraper must do (high level) Given a product URL, the pipeline should: Load the page like a real user (handle cookies/overlays). Capture all content from multiple sources (DOM + network + interactions). Use GPT API strategically to increase accuracy (field mapping, variant ext...

I need help collecting a clean, well-structured list of Twitter accounts that consistently post about AI and possibly category of AI (open source, ML, AI, general AI) Instead of handing you a fixed list, I’ll define the selection rules (for example: minimum follower count, specific AI-related keywords, recent activity, etc.) - min follower count 5000 and have alteast multiple posts with 100+ likes/ retweets. Once those criteria are agreed on, you’ll locate the matching profiles and extract two data points per account: • the public profile bio • the direct profile link (around 1M+ profiles) Please return everything in a single CSV file, one row per influencer. Feel free to use Python, Tweepy, Twitter API v2, ScraperAPI, or another reliable method—as long...