Script Python Web Scraping Volantini

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Reliable Python Scraper for Supermarket Flyers Data ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project needs and see you are looking for a Python programmer to create a reliable scraper. You don’t need to look any further; Zohaib is here to help you! My team has already completed 50+ similar projects for web scraping. I will build a Python script that collects flyer data weekly, ensuring accuracy and efficiency. The scraper will visit specific sites or PDFs, extract product names, prices, categories, and supermarket details, and save images. ➡️ Why Me? I can easily create your scraper as I have 5 years of experience in Python programming, focusing on web scraping, data extraction, and database management. I also have a strong grip on relevant libraries like BeautifulSoup and Selenium, enhancing my approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python 3.x ✅ Web Scraping ✅ Data Extraction ✅ SQLite Database ✅ BeautifulSoup ✅ Selenium ✅ Requests Library ✅ Image Processing ✅ Error Logging ✅ Code Documentation ✅ Task Scheduling ✅ Data Analysis Waiting for your response! Best Regards, Zohaib

@OutsourceMan

⭐⭐⭐⭐⭐ • Project Proposal: Python Scraper for Cesena Supermarket Volantini • We fully understand your requirements: a reliable weekly Python scraper for Conad, Coop, DPiù and other Cesena-area supermarkets to extract exact product name, offer/original price, category, store, validity period; crop and save product images as JPEG; populate SQLite DB with deduplication; modular, configurable code with logs and reports. • Similar Experience: CnELIndia has successfully built 20+ complex Italian retail scrapers handling dynamic sites, PDFs, and image extraction with 98% accuracy for price-monitoring clients. We can share demo code and screenshots upon request. • Proposed Solution: Clean Python 3 script using Requests, BeautifulSoup, Selenium, Pillow; YAML config for easy supermarket additions; SQLite with unique constraints; cron-ready setup. • Realistic Timeline: 10 business days (3 dev, 3 testing/PDF handling, 2 docs, 2 delivery). • Deliverables: Git repo with working script, populated test DB, JPEG images folder, concise README for setup and weekly runs. • CnELIndia Team Help Steps: 1. Kickoff call to confirm sites. 2. Daily progress reports and code reviews. 3. Iterative testing on your sample data. 4. Post-delivery 1-month support for new supermarkets or scheduler tweaks. • Ready to start immediately for precise, on-time delivery.

@skalogir

Ciao, Ho capito che ti serve uno scraper Python settimanale per i volantini dei supermercati nell’area di Cesena, capace di estrarre prodotti, prezzi, categorie, immagini JPEG, supermercato, validità offerte e salvarli in SQLite senza duplicati. Con 9+ anni di esperienza in Python, scraping, automazione, parsing PDF/HTML, gestione immagini, database SQLite/PostgreSQL, logging e pipeline dati, posso realizzare uno script affidabile, modulare e facile da estendere a nuovi punti vendita. Imposterei il progetto con URL configurabili, moduli separati per estrazione/parsing/salvataggio, deduplica intelligente, crop immagini con Pillow/OpenCV, report finale, gestione errori e README per installazione, test iniziale e schedulazione via cron. Posso condividere esempi simili, demo e una stima realistica dei tempi. Cordiali saluti, Stratos

@usmanbashir12100

Hi, I can develop a reliable Python-based flyer scraping system that automatically collects supermarket offer data, product images, and pricing information for stores in the Cesena area, including Conad, Coop, DPiù, and other supported flyer sources. I have experience with: Python web scraping and automation PDF parsing and structured data extraction SQLite database design Image extraction/cropping with Pillow/OpenCV Selenium, BeautifulSoup, requests, OCR workflows Scheduled/repeatable scraping systems with logging and deduplication

@kamran2012

Hey, Realizzerò lo scraper Python per i volantini di Conad, Coop, DPiù e altri supermercati della zona di Cesena — estrazione prodotti, prezzi, categorie, ritaglio immagini JPEG e salvataggio in database SQLite con deduplicazione automatica ad ogni esecuzione settimanale. Per i volantini pubblicati come PDF, utilizzerò pdfplumber per estrarre testo e coordinate, combinato con OpenCV per isolare le immagini dei singoli prodotti. Questo approccio è più affidabile del semplice OCR e gestisce bene i layout a griglia tipici dei volantini italiani. Domande: 1) I volantini di DPiù nella zona di Cesena sono pubblicati su un sito specifico o tramite piattaforme come PromoQui/VolantinoFacile? 2) Preferisci che lo script gestisca anche il download automatico dei PDF oppure li fornirai manualmente? Looking forward to talking through the details. Kamran

@Herculesz

Hi, this project requires a reliable, modular Python scraper to extract structured product data and images from supermarket flyers, a task well within my expertise. The main engineering risk lies in orchestrating robust ingestion from varying flyer formats, especially PDFs, while ensuring no duplicate data in the SQLite database. I usually design scrapers with clear separation between extraction, parsing, and storage modules, enabling easy maintenance and extension for new sources. My experience on Custom Feature Development & Integration involved modular database handling and clean code practices, while the AI-Driven Marketing Suite Development project included automation pipelines and image processing relevant here. I recommend a centralized configuration for URLs and parsing rules, with logging and error reporting to monitor scraper health. I approach systems by ensuring they can run reliably on a schedule, with idempotent data updates and clear documentation for future adaptation. I can outline the ingestion pipeline, review image cropping strategy, and sketch the database schema to align with your requirements. Thanks, Hercules

@gauravgargcs

Hello, I will build a modular Python scraping system that handles flyer websites/PDFs, extracts product names, prices, categories, validity dates, and supermarket data, processes and saves product images locally in JPEG format, and maintains a structured SQLite database designed for reliable weekly updates and scalability. I have 10+ years of experience in Python development, web scraping, PDF/data extraction, image processing, and database automation, including building scheduled scraping systems with clean architecture and duplicate-safe data pipelines. Please share sample flyer sources or URLs you want prioritized first, and I’ll review the data formats and discuss the best extraction approach for building a stable weekly scraper. thank you Regards Gaurav Garg

@dfordesigners

I specialize in Python web scraping and have successfully completed similar projects. I can develop a reliable scraper to collect supermarket flyers in Cesena, extracting product details, prices, categories, store information, and saving product images in JPEG format. Using Python 3.x with libraries like BeautifulSoup and Selenium, I will ensure clean, modular code, centralized URL configuration, error logging, and a user-friendly guide for future use. I have experience in complex scraping tasks and can deliver a fully functional Python script, populated SQLite database, image files, and comprehensive documentation. Let's discuss further.

@quan9824

Hi. I can develop a robust and modular Python scraper for the weekly collection of supermarket flyers in the Cesena area, with a focus on Conad, Coop, DPiù, and other online stores. The goal will be to build a reliable, re-executable, and scalable system that: • Extracts data from websites and/or flyer PDFs • Identifies each product with its name, sale price, original price (if any), category, supermarket, and expiration date • Crops and saves product images in JPEG format • Populates a structured, duplicate-free SQLite database • Manages weekly runs without overwriting existing data • Includes detailed logging and a final execution report The project will be developed in Python 3.x with a modular architecture (extraction, parsing, image management, data saving), centralized URL configuration, and clear documentation for automatic installation and scheduling (cron/Task Scheduler). Deliverables: • Complete repository with clean and commented code • Initialized SQLite database with initial test scraping • JPEG image folder • README with setup and maintenance instructions I can share examples of similar large-scale structured scraping projects upon request.

@Solutionzhere

As an AI-driven automation expert, I am well-versed in the Data Mining expertise that your project requires. Over the years, I have developed and implemented complex scrapers capable of collecting and organizing large amounts of data accurately and efficiently. My proficiency in Python with libraries like BeautifulSoup, Selenium combined with my ability to work with images using Pillow or OpenCV, will ensure you get a high-quality, reliable web scraper for your supermarket flyers. Let’s transform your supermarket flyer game together!

@Badhan685

Ciao, Posso creare uno scraper Python affidabile per raccogliere settimanalmente i volantini dei supermercati di Cesena, estrarre dati completi dei prodotti, salvare immagini JPEG e popolare un database SQLite senza duplicati. Il progetto includerà codice modulare, logging, configurazione semplice e documentazione per aggiornamenti futuri. Disponibile a iniziare subito. Cordiali saluti, Md Shamim

@toriquldev123

Hello There! I’m a Python developer experienced in building reliable web scrapers and data pipelines for structured extraction and scheduled automation. I understand you need a weekly scraper for supermarket flyers in Cesena (Conad, Coop, DPiù, and others), extracting product data, images, and storing everything in SQLite with clean structure and no duplicates. My approach: • Build modular Python scraper (requests, BeautifulSoup, Selenium when needed) • Handle PDFs and web flyers with parsing + image extraction (Pillow/OpenCV) • Normalize product data (name, price, category, supermarket, validity period) • Store cleanly in SQLite with deduplication logic • Add configuration file for easy supermarket URL expansion • Implement logging + weekly automation via cron/task scheduler • Generate structured reports after each run Experience: • Built scraping systems for e-commerce and retail pricing data • Experience handling dynamic pages, PDFs, and image-based product extraction • Strong focus on stable, repeatable, production-ready scrapers Deliverables: • Fully working Python project • SQLite database populated with sample run • Downloaded product images (JPEG) • Clean README with setup and scheduling instructions Best regards, Md Toriqul Islam

@teodorgeorge

Hello, Posso creare uno script Python pulito e ri-eseguibile per raccogliere settimanalmente i volantini dei supermercati a Cesena, partendo da Conad, Coop e DPiù, con estrazione di nomi prodotti, prezzi, categorie, validità, immagini JPEG e salvataggio ordinato in SQLite. Ho già lavorato su scraping complessi da pagine dinamiche e PDF usando requests, BeautifulSoup, Selenium e strumenti per immagini come Pillow/OpenCV, con gestione duplicati, log errori, configurazione centralizzata delle sorgenti e report finale. Ti consegnerò codice modulare e commentato, database di prova già popolato, cartella immagini e un README semplice per installazione, avvio e pianificazione periodica con cron o task scheduler. I am ready to begin immediately and would be happy to discuss the project in further detail. Thanks, Teo

@photop2

✅✅ It’s My Best Pleasure to SUPPORT You ✅✅ €400 EUR (fixed) | ⏱ 6 giorni per scraping, parsing, salvataggio dati, gestione immagini e configurazione Portfolio: https://www.freelancer.com/u/photop2 Con esperienza nella programmazione Python, scraping web complesso, gestione immagini e database, posso sviluppare uno scraper affidabile per raccogliere i dati settimanalmente dai volantini dei supermercati a Cesena, inclusi Conad, Coop, DPiù e altri punti vendita online. Scraping & Parsing • Utilizzo di Python 3.x, librerie di scraping come requests, BeautifulSoup e Selenium per visitare i siti e raccogliere i dati dei volantini • Estrazione dei dati come: - Nome prodotto - Prezzo in offerta e prezzo originale (se presente) - Categoria merceologica - Supermercato e periodo di validità • Ritaglio e salvataggio immagine prodotto in formato JPEG utilizzando Pillow o OpenCV se necessario Database & Automazione • Popolazione di un database SQLite con tutti i dati raccolti in modo strutturato • Configurazione centralizzata delle URL dei supermercati per facile estensione a nuovi punti vendita • Gestione automatica per eseguire lo scraper settimanalmente e aggiornare il database senza duplicare i dati esistenti Gestione Errori & Report • Implementazione di log degli errori per tenere traccia di eventuali problemi durante l’esecuzione • Creazione di un report riepilogativo a fine esecuzione, con i dettagli dei record aggiunti Pier M

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@nassimgho

Ciao, Ho capito che non ti serve un semplice scraper, ma uno strumento stabile e riutilizzabile che raccolga automaticamente i dati completi dei volantini, organizzi tutto in modo pulito e possa essere eseguito ogni settimana senza creare duplicati o richiedere interventi manuali continui. Imposterei quindi una struttura modulare che separa estrazione, parsing e salvataggio, così da poter aggiungere facilmente nuovi supermercati in futuro. Lo script potrà gestire sia siti web sia PDF, estrarre dati prodotto, validità offerte, immagini ritagliate e salvarli in SQLite con logging ed error handling per monitorare eventuali problemi. Configurerò URL e parametri in modo centralizzato, con codice commentato e documentazione semplice per esecuzione manuale o schedulata tramite cron o task scheduler. Posso consegnare script completo, database di test già popolato, cartella immagini e README operativo per manutenzione e ampliamento. Ho esperienza con scraping Python, parsing PDF e automazioni data collection, e posso condividere esempi simili in chat.

@rbtech1984

Hi There!!! ★★★★ ( Python scraper per volantini supermercati con database SQLite e gestione immagini ) ★★★★ Project understanding: Ho capito che ti serve uno script Python robusto che raccolga ogni settimana i dati dei volantini online (Conad, Coop, DPiù e altri), estragga prodotti, prezzi e immagini, e li salvi in un database SQLite strutturato, con possibilità di ri-esecuzione senza duplicati. ⚜ Web scraping con requests/BeautifulSoup/Selenium ⚜ Parsing PDF e pagine web dei volantini ⚜ Estrazione prodotti (nome, prezzi, categoria, validità) ⚜ Download e ritaglio immagini prodotto in JPEG ⚜ Database SQLite con struttura anti-duplicati ⚜ Logging errori e report esecuzione automatica ⚜ Configurazione modulare per aggiungere nuovi supermercati Ho esperienza in Python scraping, data mining e automazione di raccolta dati complessi, inclusa gestione di siti dinamici e PDF extraction. Lavoro con script strutturati, riutilizzabili e pronti per schedulazione automatica. Approach: prima analizzo le fonti dei volantini, poi costruisco scraper modulare, integrazione parsing immagini + database SQLite, e infine aggiungo logging + setup cron per esecuzione settimanale stabile. Posso iniziare subito e consegnare uno script pulito, documentato e facilmente estendibile. Warm Regards, Farhin B.

@craigd43

With my substantial experience and demonstrated expertise in web scraping, especially complex operations like your project requires, I am absolutely confident of delivering excellent results on Scrpt Python Web Scraping Volantini. I am not only adept and proficient in Python 3.x, including libraries such as requests and BeautifulSoup for scraping but also experienced in using Pillow and OpenCV when necessary for image management. Working with a clear focus on strong code infrastructure, efficient extraction techniques, accurate data parsing and organization in structured SQLite database are areas where I've consistently thrived. To summarize, choosing me to undertake this task guarantees you a highly-dedicated professional who will deliver outstandingly on time while creating value-added documentation to ease your future operation on different supermarket circulars. While I don't have previous projects specifically featuring Cesena region supermarkets, I have worked extensively with similar challenging scrapings that equip me fully on project expectations. Let's team up to gather complete product data from your targeted supermarketsóa task made easy with my profile skills in data mining and processing- all ensuring quality delivered precisely within specified timeframe!