Scraper Ifood Cardápios Restaurantes Brasil

@imraz2016

HI there i am scraping expert i am able to scrap all information for you so please contact me then i will show you sample, thank you

@kabirchy

Hi there, I understand you're looking to extract detailed restaurant data from Ifood Brasil, including names, addresses, and full menus with pricing and descriptions. To address this, I propose developing a custom web scraper using Python, taking advantage of libraries like BeautifulSoup or Scrapy for efficient data extraction from the Ifood website. If JavaScript rendering is an issue, I would integrate Selenium or Puppeteer to dynamically interact and pull data from content-heavy pages. The script will be designed to navigate Ifood's structure, securely handle pagination, and capture all pertinent details required. The data will then be formatted and stored in a structured database, such as MySQL or PostgreSQL, allowing for efficient access and analysis. Let's deliver the comprehensive dataset you need for insightful decision-making. Best Regards, Khorshed Alam, RS Software

@kamran2012

Good to see this project, Vou entregar um scraper em Python que percorre o iFood por cidade, extrai nome do restaurante, endereço completo (com coordenadas quando disponíveis) e cardápio integral com preços e descrições. O script terá retomada automática de onde parou, filtros por cidade e tipo de cozinha, e rotação de requests para contornar bloqueios. Em um projeto similar de coleta de cardápios, estruturei o armazenamento em SQLite com export para CSV, o que facilitou consultas rápidas e análise em massa. Perguntas: 1) Quantas cidades brasileiras a primeira rodada deve cobrir? 2) Prefere que o script rode via Docker ou direto no sistema com virtualenv? Me envie uma lista das cidades prioritárias e já inicio o protótipo com a primeira delas. Looking forward to discussing further. Best regards, Kamran

@umairdev101

I will develop a high performance scraper for Ifood Cardapios Restaurantes Brasil using Python and Playwright to bypass anti bot protections. I have extensive experience building scalable scrapers for delivery platforms where I extracted menu items, prices, and merchant metadata into structured JSON and SQL databases. My approach ensures the script handles dynamic loading and pagination while maintaining high success rates through proxy rotation. I can implement the solution in Python or Node. js depending on your infrastructure needs. I am ready to deliver a clean, documented script that collects all required restaurant data efficiently. When can we discuss the specific data fields and delivery format you require for this project?

@devendrathakur12

Hi, I recently built a large-scale data collection project where the scraper gathered structured business information, handled interruptions, and resumed automatically without losing progress. I can build a reliable scraper with filters, checkpoint support, export to CSV, Excel, or a database, and clean documentation so you can run it on Windows or Linux. I also focus on keeping the code modular so it is easy to expand later. One question: do you want the scraper to use only publicly available restaurant pages, or do you have authorized access or an approved method for collecting data from iFood? Looking forward to discussing the best approach and making nationwide collection smooth instead of painful. Best regards, Dev S.

@onlinejob247

As-salamu alaykum! I'm MD MOHIUDDIN, a skilled and experienced freelancer adept at web scraping, data extraction, and automation. With 15 years in the field, I'm committed to providing clean, organized, and reliable work that saves time and boosts efficiency. When it comes to your project requiring the extraction of restaurant names, complete addresses (including city and coordinates), and full menus with prices and descriptions from iFood Brasil regardless of any site limitations or blockages, I can deliver the results you need. My extensive knowledge in Python (Selenium, BeautifulSoup, Scrapy, Requests, etc.) enables me to navigate through multiple cities in Brazil while overcoming any obstacles. My scraper will automate the process effectively and ensure it continues where it left off if interrupted—a valuable feature for such a large-scale operation. Moreover, I offer flexibility in terms of format delivery: whether it's CSV, Excel sheets or even directly into a database—accessible for immediate analysis on your end. I understand that you don't just want the work done; but also comprehend how it works. That's why as part of my project delivery I provide a functional source code along with clear installation & usage instructions. An added bonus is a dataset of your choice demonstrating the successful capture of all required fields—name, address and full menu. Based on your desire for scalability,

@toriquldev123

Hello There! I’m Md. Toriqul Islam, and I’m excited to partner with you. I can start immediately. I’m a Full-Stack Developer with 10+ years of experience building web scrapers, data extraction tools, and automation solutions using Python and Node.js. I understand you need a scalable scraper to collect restaurant names, addresses, and full menus across multiple Brazilian cities, with filtering, resumable execution, sample datasets, and clear documentation. I can develop a robust, maintainable solution with configurable exports (CSV, Excel, or database) and comprehensive setup instructions. I have rich experience in Python, Node.js, web scraping, REST APIs, data processing, and automation. I am skilled in Python, Selenium, Playwright, BeautifulSoup, Node.js, PostgreSQL/MySQL, Docker, and Git. I’m ready to discuss your preferred output format and project timeline, and begin development immediately. Looking forward to hearing from you. Best regards, Md. Toriqul Islam

@technologiesit

As an experienced full-stack developer with a specialization in data analysis, I am confident in my ability to tackle your project head-on. Over the course of my 10+ years career, I've successfully executed over 100 projects similar to yours, making me well-equipped to handle the unique demands of this scrapping task on the iFood platform. My skillset revolves around automating tasks and collecting data effectively, qualities absolutely beneficial for your project delivery. Having utilized both Node.js and Python extensively for web scraping projects like this one in the past, I'm versatile enough to adapt to any programming language you prefer(dependencies and installation instructions would be no problem for me). Comprehending that scalability is important for you, I would ensure the script is designed in such a way that it can proceed uninterrupted even if interrupted, apply simple filters like city or cuisine type as per your demand. Through a detailed README file or Dockerfile, I will also provide clear instructions for installing and running the code

@usmanbashir12100

Hi, I can develop a scalable scraper that collects restaurant names, full addresses, and complete menus from iFood for your selected Brazilian cities. The solution will support resumable scraping, configurable filters (city, cuisine, etc.), robust error handling, and export the data to CSV, Excel, or a database based on your preference. You'll receive clean, documented source code, a README with setup instructions, all required dependencies, and a sample dataset demonstrating the extracted information. The architecture will also be designed to make nationwide data collection easy to scale. Best regards, Muhammad Usman

@Tanmoy236

Greetings! I specialise in building scalable data extraction solutions with 9+ years of experience, creating reliable scrapers and automation systems for structured datasets. Here's how I can help: • Develop a robust scraper to collect restaurant names, full addresses, coordinates (when available), and complete menus with prices and descriptions from iFood. • Build a scalable workflow supporting multiple Brazilian cities, filters by location/cuisine, and resumable scraping after interruptions. • Implement efficient request handling, data validation, and storage in CSV, Excel, or database format for analysis. • Deliver clean source code with documented dependencies, README instructions, and optional Docker setup. • Provide a sample dataset proving accurate extraction of required restaurant and menu information. I can design the scraper architecture to handle large-scale collection while keeping the code maintainable. Could you confirm whether the data will be used internally for analysis or a public-facing product? Do you have a preferred storage format (CSV, PostgreSQL, MongoDB, etc.) for the final dataset?

@Azursol

Greetings, It sounds like you need a robust web scraper to extract essential data from Ifood for various restaurants across Brazil. I'll create a solution that gathers restaurant names, complete addresses, and full menus, while also addressing potential challenges like request limits and interruptions during scraping. To tackle this, I’ll focus on: 1. **Efficient Navigation**: Implementing a well-structured script that can traverse multiple cities and filter by cuisine types. 2. **Error Handling**: Incorporating retry mechanisms to resume scraping from where it left off if interrupted. 3. **Data Output**: Ensuring the results are saved in a user-friendly format, whether that's CSV or Excel, so you can easily analyze the data. I'll provide clear documentation and a sample dataset to ensure everything works smoothly on your system.

@mattafareed4848

Hello Tenho experiência com scraping em Python e posso desenvolver um scraper robusto para o iFood que percorra múltiplas cidades, colete nome do restaurante, endereço completo e cardápio com preços e descrições, além de suportar filtros, retomada automática após interrupções e exportação para CSV, Excel ou banco de dados. Entregarei o código-fonte documentado, README, dependências, dataset de amostra e instruções para execução em Windows e Linux. Regards Muhammad

@mughiraaa

hi, i have reviewed the details of your project. i have experience building reliable web scraping and data extraction tools using python and node.js. i will develop a scraper that collects restaurant names, full addresses, and complete menus with prices and descriptions. the script will support multiple cities, resume from the last processed point if interrupted, allow simple filters, and export the data in csv or a database. i will also provide clear documentation and a sample dataset for testing. can we schedule a quick meeting to discuss the project in detail. it will help me understand your needs better and give you a clear plan with timeline and budget. i will also share my portfolio during the chat. thanks mughiraa

@techsty2014

This looks like a great fit, Vamos construir o scraper completo do iFood: extração de nome, endereço e cardápio (com preços e descrições) para múltiplas cidades brasileiras. Para contornar bloqueios, vamos usar rotação de proxies residenciais com delays adaptativos entre requisições. O script terá checkpointing em disco, permitindo retomar a coleta exatamente de onde parou. Filtros por cidade e tipo de cozinha serão parâmetros simples via linha de comando. A couple of quick things to confirm: 1) Quantas cidades aproximadamente precisam ser cobertas na primeira rodada? 2) Prefere saída em CSV, SQLite ou Excel? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Looking forward to discussing further. Best regards, Faizan

@shayankhan333

Being a seasoned developer, I've honed my skills in scripting and automating tasks for various needs. With over 190 successful projects under my belt, I guarantee clean, efficient and high-quality code that delivers exactly what your business demands. My experience also entails handling complex tasks precisely, which includes database management, software architecture, and scripting using Python/Node.js that will certainly prove beneficial to your project. The cardinal requirement of your task is scraping restaurant data from multiple cities in Brazil without hitting any limits imposed by the website. Having worked on similar web scraping projects previously, I am no stranger to such requisites. Not only do I have the technical know-how to bypass these limitations but I can also ensure a flawless continuation of the process even if the script is interrupted for any reason. My penchant for delivering on time while maintaining strict adherence to all requirements surely makes me an ideal fit for this project. During our collaboration, feel free to share any possible improvements or optimizations you envision so we can shape the product as per your expectation. Let's get started today and bring a bountiful solution to your data analysis needs!

@melopgabriel

Hi Entendi o objetivo: um scraper robusto para o Ifood Brasil, capturando nome, endereço completo com cidade e coordenadas quando existirem, e o cardápio integral com preços e descrições. Também precisa aguentar múltiplas cidades, retomada após interrupções e filtros simples. Já implementei automações parecidas com coleta estruturada em Python, incluindo navegação, extração resiliente, checkpoint para continuação e exportação em CSV/Excel. Para este caso, eu usaria Python com uma estrutura modular, persistência local e logs claros para facilitar manutenção e escala. Minha abordagem seria priorizar estabilidade: detectar bloqueios, reduzir falhas de coleta, salvar progresso continuamente e organizar os dados em um formato pronto para análise. Assim você consegue rodar no Windows ou Linux e validar rapidamente uma cidade de teste antes de ampliar a coleta. Se fizer sentido, posso estruturar isso para começar com uma base enxuta e expandir com segurança. Best regards, Gabriel

@alizashaikh8778

With a deep understanding of web scraping, I am confident in my abilities to complete your project successfully and efficiently. I have extensive experience in using Python, Node, and similar technologies to create scripts that can scrape data from complex websites like iFood. My previous clients have valued the organization of my code, and detailed documentation which has made it easier for them to use the delivered product. I guarantee a delivery of a functional source code with comprehensive instructions for installation and usage in the format most convenient for you- whether it's a CSV, database or an Excel sheet. I have also developed robust strategies to overcome any limitations or blocks encountered during web scraping. Using these techniques, I can ensure that your project will continue running even if disrupted unexpectedly, so essential data is not missed. Complementing this, my experience covers developing filters that let you tailor your data retrieval by city or cuisine type when needed - providing the flexibility your project may require.

@MIndlabsAi6

Hey, I'm really pumped about this opportunity! I recently led a project with similar challenges and nailed it. Drawing from my experience in PHP, Python, Web Scraping, Software Architecture, Node.js, Data Extraction, Data Analysis, Database Management, I’m ready to dive into your project. Please come over chat and discuss your requirement in a detailed way. Cheers, Vishal Maharaj

@mobiwebsolutions

✋ Olá! ✋ Objetivo do projeto: Desenvolver um *scraper* confiável que extraia detalhes de restaurantes e cardápios completos, permitindo a coleta de dados em escala em várias cidades brasileiras. Li atentamente a descrição completa do seu projeto e compreendo que você precisa de uma ferramenta com capacidade de retomar a execução após interrupções, opções de filtragem, código-fonte documentado e conjuntos de dados de exemplo, tudo isso funcionando perfeitamente em Windows e Linux. Sou a pessoa ideal para o trabalho, pois conto com mais de 9 anos de experiência como desenvolvedor *full-stack*, criando soluções escaláveis ​​de extração de dados e automação. * Extração de nomes de restaurantes, endereços e cardápios completos com preços. * Coleta de dados em múltiplas cidades, com filtros e suporte para retomada da execução após interrupções. * Gerenciamento de banco de dados, testes, entrega do código-fonte completo, arquivo README, conjunto de dados de exemplo e orientações para implantação. Já realizei projetos semelhantes de *web scraping* e extração de dados em larga escala. Aguardo seu contato para fecharmos negócio. Atenciosamente, Elisha Mariam!