Web-Scraping Info Chatbot

@marjanahmed13

Hi! My name is Marjan and I'm here to offer you my services as a skilled applicant with over a decade of experience working on Freelancer.com. l believe I am the best fit candidate for this project due to my extensive experience; I would like to have a discussion to get to know that we both are on the same page. Once the scope will be locked, I will start working on it right away.

@hiberokpars

Hi! I have extensive experience building web scraping and automation systems. I can develop a Node.js-based RAG chatbot that collects information from public websites, indexes it for fast retrieval, and provides accurate answers with source references. The solution will include clean code, documentation, and an API that can be easily integrated into your website or application.

@krupnovdenis

Hello! We can build a real-time information chatbot for your project. 1. Which public websites should the chatbot use first? 2. Do you want a web interface, an API endpoint, or both? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@abhishek060

Hi, I can help you build an AI chatbot that retrieves information from public websites in real time and provides accurate, source-backed answers. I'll develop the chatbot engine, implement a crawler/API-based retrieval pipeline, build a searchable knowledge base, create a citation-based RAG workflow, and provide a web interface or FastAPI endpoint for easy integration. A couple of questions before we begin: Which public websites should the chatbot use as its primary sources, and should it search them in real time for every query or use a periodically updated index for faster responses? I have 10+ years of experience building AI-powered applications, web platforms, and scalable backend systems using Python, FastAPI, LangChain, vector databases, and modern LLM workflows. Once I understand your requirements in detail, I'll provide my timeline and fixed price. Looking forward to working with you!

@cliftonc20

Hello, this looks like a scraping-to-chat workflow where the real work is not the UI layer but keeping ingestion and answer quality stable as source pages change. The main engineering risk is grounding the chatbot on scraped content reliably instead of letting retrieval drift as pages update or parsing breaks. I've built several production systems like this, typically around FastAPI with a clean split between crawling, normalization, indexing, and response generation. That separation matters because scraping failures and retrieval failures need different handling and observability. The closest example is DocIntel AI — Document Intelligence & Event Extraction Platform, where I built the end-to-end pipeline for web ingestion, text extraction, semantic retrieval, and question answering over collected content. I usually structure these systems with separate ingestion, retrieval, and response layers so content refresh does not destabilize the chat layer. The tradeoff is a bit more backend plumbing up front, but it makes source updates, retries, and debugging much cleaner. For reliability, I recommend grounding checks, source-linked answers, and refresh logic for changed pages so the bot does not answer from stale or partial content. If useful, I can outline the retrieval pipeline and sketch the ingestion architecture before implementation. Clifton

@novalitztech

Hi, I hope you're doing well. I have carefully reviewed your project, Web-Scraping Info Chatbot , and I'm confident I can deliver a high quality solution tailored to your requirements. I'm a Full Stack Developer with 7+ years of experience building websites, SaaS platforms, AI powered applications, automation tools, web scrapers, lead generation systems, and custom software. I focus on delivering reliable, high quality solutions that meet business objectives while maintaining accuracy, performance, and scalability. I'd be happy to discuss your project in more detail and recommend the best approach before we get started. I look forward to working with you. Best regards, Abdul Salam Full Stack Developer | Technical Fixes | AI Automation | Lead Generation & Extraction Expert | Websites Dev

@shawanay

I can build this solution with all the required features, including an AI chatbot with natural language understanding, a real-time web crawling/API ingestion pipeline, a retrieval system with source citations and a FastAPI-based web interface The user journey will be straightforward: users submit a question, the chatbot retrieves and indexes relevant information from approved public websites, ranks the most relevant passages, generates an accurate response with source citations, and returns the answer within seconds through a web interface Let's connect so we can discuss the requirements in detail and get started today.

@muhammadsaad90

Hi, I've worked on AI chatbot and retrieval based systems with similar goals, so I understand the importance of building an assistant that provides accurate answers with reliable source references instead of unsupported responses. The main challenge is creating a pipeline that keeps information fresh while maintaining answer quality and low response time. My approach is to combine structured data collection, cleaning, vector based search, and a strong retrieval pipeline with source citations. I'll develop the chatbot engine, build the website content ingestion workflow, configure the searchable knowledge base, create the API or interface, and provide clean documentation with setup instructions and a walkthrough for future expansion. Best Regards, Muhammad Saad K

@codeandcommand

I have done web scraping and NLP work with LangChain and FastAPI before. For this I would pull the source pages with a scheduled scraper, chunk the content, and wire it to a chatbot that answers only from that data, no hallucinated answers outside your site. Can start today, working demo in 3 days. Budget and timeline here are a starting read on the post. Once we go through the actual sources you want scraped, those numbers might move. Want me to send a quick scope doc so we can get moving?

@engruhulajom

Hello There! I’m Ruhul Ajom, and I’m excited to partner with you. I can dive into your project immediately. I have rich experience in AI chatbot development, web scraping, retrieval-augmented generation (RAG), NLP, and full-stack API development. I am skilled in Python, FastAPI, LangChain, OpenAI, vector databases, BeautifulSoup, Scrapy, Selenium, REST APIs, and information retrieval systems. I understand you want an AI chatbot that retrieves information from public websites in real time, provides accurate and traceable responses with source citations, and exposes a web interface or API for future integration. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Ruhul Ajom

@Heorhii01

Hi, I hope you're doing well. I understand you're looking to build an AI chatbot that delivers accurate, source-backed answers by retrieving information from selected public websites in real time. The key goal is a reliable retrieval pipeline that prioritizes verifiable responses, low latency, and a scalable architecture for future expansion. I will develop a Python-based solution using FastAPI and modern RAG techniques, implementing a compliant web scraping and content ingestion pipeline, searchable vector storage, and intelligent retrieval with source attribution. I will build a clean API or lightweight web interface, optimize response performance, and ensure the system is modular so additional websites and knowledge sources can be added easily as your requirements grow. My focus is on delivering a reliable, maintainable AI solution with clean architecture, accurate information retrieval, clear documentation, and a smooth handover process. Best regards, Heorhii

@rishi9343

As your project demands a well-versed professional with skills in developing web-based applications, I believe my proficiency in Python, FastAPI, and Java would fit perfectly. Not only I have extensive experience in backend service development and database optimization like MySQL, PostgreSQL, MongoDB, but I'm also adept at taking on the challenges of AI automation and Database Visualization - two prized talents that are quintessential for this Project. In addition to these core technical skills, my deep understanding of NLP pipelines and information retrieval techniques lend me an advantage for your web-scraping needs. I’m well-equipped in creating retrieval-augmented chatbots and holistic yet independent solutions such as responsive mobile apps that can accommodate your chatbot interface seamlessly. Smooth integration is the key to maximizing the utility of any AI assistant and I promise to deliver just that. My comprehensive approach doesn't stop at mere deliverables - I'm ready to go that extra mile by providing you future scalability suggestions along with a thorough guide to ensure smooth local setup and operation post-delivery. Accuracy, latency control and adherence to site usage policies are critical features which will be handled with utmost care in my work. Combining professional finesse with an innate curiosity, let’s create an AI assistant that doesn't just answer questions but sources verifiable answers from the web instantly.

@omarz33

Hello, I am excited about the opportunity to work on your project to develop an AI chatbot that retrieves information from public websites in real-time. With over 10 years of experience in software development, I have expertise in building chatbot engines, implementing web scraping solutions, and designing information retrieval pipelines. To meet your requirements, I will focus on developing a robust chatbot engine with natural language understanding capabilities. I will also create a crawler or API-based scraper to fetch and store content from selected websites for accurate answers. Using Python and relevant libraries like LangChain and FastAPI, I will ensure the chatbot operates efficiently with low latency. I have successfully worked on similar projects in the past and can provide you with relevant examples to showcase my expertise. Let's discuss how we can create an effective and reliable information chatbot together. Best regards,

@vzaretsky

The scraper piece is the real risk here — most public sites don't expose a stable API, so "fetch, clean, and store in a searchable format" within a $10-30 job usually means picking 2-3 target sites, writing targeted parsers for their structure, and accepting that a fully generic crawler isn't realistic at this budget. I'd build it as a FastAPI service: a scraper module (requests/BeautifulSoup, or Playwright if the pages are JS-rendered) that pulls and cleans text into chunks, stores them with embeddings in a local vector store like Chroma or FAISS, and a retrieval step that ranks passages and passes them to an LLM for answer generation with source links attached. A single /ask endpoint returns the answer plus citations so you can trace every response back to its source. Which specific websites do you want it pulling from, and do their pages update often enough that the scraper needs to run on a schedule rather than a one-time pull? I work solo, keep a 4.9/5 rating across 12 reviews on freelancer.com, and can have a working version ready in 4 days. Send over the target URLs and I'll get started.

@Lazarone1

hi, your ai chatbot needs a reliable information retrieval system that can collect public web data, understand user questions, and provide accurate source based answers. i can build a python based solution with web scraping, langchain, fastapi, vector database integration, and optimized ai responses with clear documentation for future expansion. which websites and data sources should the chatbot support in the first version?

@hoangvanp

Hello, Building an AI chatbot to provide real-time answers by scraping publicly available websites requires a thoughtful approach. The focus should be on accuracy, low latency, and respecting site usage policies. I would start by developing the chatbot engine for natural language understanding and dialogue management, followed by implementing a crawler or API-based scraper for content retrieval. Designing an information-retrieval pipeline to rank and cite relevant passages is crucial for traceability. I suggest using Python with libraries like LangChain and FastAPI for this project. In past projects, I have successfully developed similar chatbots and worked on web scraping/NLP pipelines. I believe my experience aligns well with the requirements of this project. A few questions: Which specific websites do you intend to scrape for information? How frequently will the bot need to update its data? Best regards,

@jamik414

Hello, I am excited about the opportunity to develop an AI chatbot that retrieves real-time information from public websites for your project. My approach involves developing a robust chatbot engine with natural-language understanding, implementing a crawler or API-based scraper for content retrieval, designing an information-retrieval pipeline for accurate responses, and providing a user-friendly interface for easy integration. For this project, I will leverage my expertise in Python, NLP, and API Development to ensure accurate answers, low latency, and compliance with site usage policies. I will focus on clean code structure, responsive design, secure development, and efficient management for seamless functionality. Deliverables will include well-documented source code, setup guide, demonstration of the chatbot in action, and optional scalability suggestions for future enhancements. I look forward to collaborating with you on this innovative project. Best regards, Jamila

@Abror86

Hello WEB-SCRAPING INFO CHATBOT needs a reliable retrieval pipeline, not just a chat interface — the key is making answers traceable to real website data instead of generating unsupported responses. I would build the system with a Python-based backend using a crawler/API ingestion layer, content cleaning pipeline, vector search storage, and retrieval-augmented generation flow. The chatbot would fetch relevant source passages, rank them, and use those references to generate answers that can be verified. A common edge case in website-based AI systems is outdated or duplicated content creating incorrect retrieval results, so I would include source tracking, refreshable indexing, and filtering rules to keep the knowledge base accurate. Do you already have the specific websites and data sources to index, or should the first step include designing the scraping and content ingestion strategy? Looking forward to helping you build a reliable information assistant.

@Ritesh11gupta

Building a chatbot that pulls data sounds exciting! I have hands-on experience with Python and web scraping. What kind of questions do you want the chatbot to answer? Let's brainstorm some ideas together!