Custom Agentic AI Development for Travel

@extreamcode

Hi, I can build this Agentic AI scraper for your travel organization using Python + BeautifulSoup/Selenium + an AI agent framework (LangChain or similar). The agent will: ✅ Scrape pricing, availability, amenities, proximity to tourist spots, unique features from resort/hotel websites ✅ Handle dynamic JS-rendered sites via Selenium ✅ Structure and export the data in a usable format (JSON/CSV/DB) ✅ Run on schedule or on-demand I’ve built AI-integrated scrapers with ChatGPT/OpenAI APIs and have strong Python experience. Happy to discuss the architecture before we start. Asad | Python + AI Dev | 5.0 rating | 193 reviews

@WebXcellance

Hi there, I can build a custom Agentic AI system for your travel use case that reliably collects and structures resort and hotel data from official sources. • Agentic scraping pipeline for hotels/resorts data extraction • Structured capture of pricing, availability, amenities, and location insights • Proximity analysis for tourist attractions (geo-based enrichment) • Clean data normalization into usable formats (API/DB ready) • Built in Python with scalable scraping + AI orchestration • Respectful crawling setup (rate limits, compliance-safe scraping design) I focus on building production-grade data agents that are stable, maintainable, and easy to extend as your dataset grows. Ready to discuss architecture and start immediately. Thanks, Sachin

@webmasters486

Hi, I’m Muhammad Adil. I’ve reviewed your requirement and understand you need a custom agentic AI system for travel data extraction focused on resorts and hotels. I specialize in AI automation, web scraping systems, and data pipelines, and I can build a reliable solution that continuously gathers structured travel intelligence from official sources. I will design an AI-driven scraping workflow that intelligently extracts pricing and availability, amenities and services, proximity to key tourist spots, and unique property features directly from hotel and resort websites. The system will use a Python-based stack with tools like Playwright or Scrapy for dynamic content handling, combined with an agentic layer that organizes and validates extracted data so it remains clean, structured, and usable. The architecture will be modular so it can scale across multiple destinations and data sources while maintaining accuracy and consistency. I will also ensure the system handles site changes gracefully and keeps outputs structured for easy integration into your internal tools or dashboards. Looking forward to working with you.

@quan9824

Hi, I can build a production-ready Agentic AI system that continuously gathers and structures resort/hotel data from official sources in a reliable, scalable way. 1. Data Acquisition (Scraping Layer) • Python (Playwright + BeautifulSoup) for dynamic + static sites • Respect site policies (rate limits, caching, retries) • Extract: – Pricing & availability – Amenities/services – Location & proximity (geo-enrichment via APIs) – Unique selling points (USP text extraction) 2. AI / Agent Layer • LLM-powered agents (OpenAI / local models) to: – Clean and normalize scraped data – Extract structured insights from unstructured content – Summarize “unique features” consistently across hotels • Modular “agent” design so new data sources can be added easily 3. Data Pipeline • Storage in structured DB (PostgreSQL / MongoDB) • Deduplication + validation • Incremental updates (only re-scrape changes) 4. Output & Usage • API layer (FastAPI) for querying hotels • Export-ready structured data (JSON/CSV) • Optional dashboard for internal use Relevant experience: Built large-scale scraping + AI enrichment pipelines (5k–50k records) combining structured + unstructured data for marketplaces and research platforms. Happy to review target websites and design the scraping + AI workflow tailored to your needs ?

@iwebphpdeveloper

Hello, With 15+ years of experience in web development and content systems, I can build a custom agentic AI that collects, structures, and serves travel data reliably. I’ll design it to gather pricing, availability, amenities, and location insights while staying maintainable and compliant. Key points: • Python-based pipeline using Scrapy/Playwright for robust data extraction • Structured data model for pricing, amenities, proximity, and unique features • AI layer (LLM + rules) to summarize, compare, and surface insights • Handling dynamic sites, rate limits, and data normalization • Optional vector DB for semantic search across resorts • Admin dashboard/API to query, filter, and update datasets • Scheduling + monitoring for continuous data refresh Let’s connect in chat to discuss scope and architecture. Regards, Abhijeet

@Cmonosoft

Hi there, I have experience working with AI driven workflows, web scraping pipelines, and structured data systems in Python. I will design an agent based architecture where multiple intelligent agents handle tasks like data scraping, parsing, validation, and enrichment. For scraping, I will use robust tools such as Playwright or Scrapy to extract pricing, availability, amenities, and unique features directly from official hotel and resort websites while handling dynamic content and anti bot measures. I have previously worked on data extraction systems and AI powered workflows, and I focus on clean architecture with reliable performance. Let's connect to discuss and start work! Thanks Saurabh

@archna09

Hi there, I can build a custom agentic AI using Python (LangChain + scraping frameworks like Playwright/BeautifulSoup) to extract pricing, amenities, availability, and location insights from resort websites, structured into a clean, queryable system. I’ll design scalable workflows with data validation, scheduling, and APIs/dashboard access. Experience with automation and intelligent data pipelines. Thanks Archna Sharma

@Web1devloper

As an AI and data professional with a decade of experience not only do I have the programming capabilities you need, particularly in Python which is well-suited to web scraping tasks but I also approach your project with a benefit of working in related sectors like e-commerce and SaaS. These roles have sharpened my ability to think outside the box, innovate and find solutions, which will undeniably be valuable to pushing the boundaries of traditional travel industry data management. Moreover, I've actually worked on a similar project before that involved scraping data from various travel websites. This translates into a two-fold advantage for your project: one is that I'm quite familiar with dealing with large and complex datasets from scraping sources, Resort/hotel websites in this case. Second is my ability to turn this huge information which would be overwhelming to any layman into meaningful insights using visualization tools like Tableau and Power BI.

@ssquare489

With a strong background in AI development, web scraping, and familiarity with travel industry data requirements, I am confident I can deliver on all aspects of your project. Having worked at Google and Apple, I bring to the table a structured process that ensures an efficient delivery with high-quality results. This approach has helped me assist businesses in automating processes, enhancing user experiences and delivering measurable growth. In addition to my expertise in Python programming and web scraping technologies, I have also developed intelligent mobile and web applications integrated with AI that could automate your scraping process efficiently. From this prior work, I have acquired experience in creating AI-based functionalities like chatbots, personalization, predictive analytics - skills that could be leveraged perfectly to meet your requirements for the custom Agentic AI development. Commitment to excellent client communication is my strength. Throughout all stages of the project, from understanding your vision and pain-points through to final implementation and ongoing support, you will receive clear communication and updates ensuring we are always on the same page.

@chiragardeshna

Hi there, Strong alignment with this project comes from experience building agentic AI systems that combine web scraping, data extraction, and intelligent workflows. Clear understanding of your requirement to develop an AI that gathers structured travel data—pricing, availability, amenities, location insights, and unique property features—from official sources. Expertise with Python, scraping frameworks, and LLM-based agents ensures accurate extraction, data normalization, and intelligent summarization. Approach focuses on modular agents (scraper → parser → enrichment → storage), reliable scheduling, and scalable architecture for continuous updates. Available to start immediately happy to connect for a quick demo or discussion. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@bpatidar2793

I understand you need an agentic AI system that can reliably collect and structure travel data like pricing, availability, amenities, and location insights from resort and hotel sources. I will build a Python-based pipeline using scraping tools where permitted and APIs where available, combined with an AI layer to normalize, summarize, and enrich the data (e.g., proximity insights and unique highlights). The system will be modular, schedulable, and scalable, with clean data outputs and optional dashboard/API access. I will ensure stability, proper error handling, and maintainable code with clear documentation.

@ronakr787

Hi, I've built AI agents and data pipelines for similar use cases — combining web scraping with intelligent automation to produce structured, usable data. For your travel AI, my approach: Scraper layer — Python (Playwright/BeautifulSoup) to extract pricing, availability, amenities, proximity info, and unique features from resort/hotel websites, handling dynamic JS-rendered pages. Agentic layer — LLM-powered orchestration to classify, normalize, and enrich the scraped data (e.g., auto-tagging features, calculating proximity scores). Storage + API — Clean structured output (JSON/DB) ready to feed your booking engine or front-end. I've delivered similar scraping + automation systems in Laravel/PHP + Python stacks and can share relevant GitHub work upon request. Profile: @ronakr787 | 5.0 rating | 100% on-budget | 10 yrs exp Happy to discuss the scope in more detail — I can start immediately.

@mahads31

With over a decade of experience as a web and software developer, my proficiency in Python and PHP grants me the ability to create robust, specialized solutions tailored uniquely to meet your needs. Having worked across various industries, I’m knowledgeable about data scraping technologies and industry-specific data requirements, which I believe will be invaluable for your travel organization. What separates me from other candidates is my dedication to building scalable, efficient solutions that not only deliver on their promises but also evolve along with the businesses they serve. I'm fully versed in AI development and have used associated technologies to scrape vast amounts of real-time data swiftly and accurately. Choosing me means choosing a long-term technology partner who values innovation-first thinking and offers agile execution without compromising quality. We may be fulfilling short-term goals now by developing this Agentic AI; however, as the team grows at your organization or as we launch more extensive products together, my expertise in cloud infrastructures & deployment will prove useful.

@letswork92

Hello, I understand that you're looking to develop a custom Agentic AI focused on scraping essential data from resort and hotel websites. This task is crucial for your travel organization to provide accurate information regarding pricing, amenities, and proximity to tourist attractions. With over 12 years of experience in full-stack development and AI, I have successfully implemented web scraping solutions using technologies like Python with libraries such as Scrapy and BeautifulSoup, alongside automation frameworks like Selenium and Playwright. My familiarity with the travel industry equips me to ensure compliance with data requirements while delivering a robust solution. My approach would involve designing a seamless workflow that not only extracts relevant data but also processes it efficiently for user-friendly access. Additionally, I can leverage cloud services like AWS for scalability and Firebase for real-time database management. Could you please clarify if there are any specific websites or data formats you prioritize for scraping? Looking forward to collaborating on this exciting project! Best regards, [Your Name]

@niveditaj1

Hello There, You want an agentic AI scout that extracts pricing and unique resort details so your travel team stays ahead of the market without manual browsing. 1) Which specific list of hotel chains or independent resorts should the agent prioritize for its initial scraping cycles? 2) Should the AI calculate proximity to tourist spots using live maps data or by parsing text descriptions found on the websites? 3) Will the extracted pricing data need to be updated daily or in real time during a client inquiry? We will transform your data gathering into a strategic asset that allows your team to provide instant and expert advice to every traveler. By automating the extraction of dynamic pricing and unique amenities, you eliminate the risk of offering outdated information or missing a great deal for your clients. This system provides your organization with a deep competitive edge by synthesizing thousands of data points into simple and actionable travel insights that drive bookings and build customer trust. I will build the solution using an Agentic Workflow in Python powered by LangGraph to manage autonomous browsing and reasoning tasks. I will implement Playwright for reliable navigation of modern web interfaces and use an LLM for structured extraction of qualitative data like services and proximity details. Best regards, Nivedita Joshi

@manoval09

Here's your proposal: --- Hi, I see you need an AI agent that can reliably scrape and integrate travel data—the tricky part is usually keeping the scraping stable across site changes and getting the agent to make smart decisions about which data to grab. I've built several agentic systems in Python for data-heavy workflows, so I know exactly where most projects hit friction. I'd build this using Python + LangChain's ReAct pattern for the agent logic, with a headless browser (Playwright) for sites that block simple HTTP requests, and a caching layer to avoid re-scraping. This keeps the system both reliable and cost-efficient. The agent will have defined tools it can call (scrape endpoint, parse results, validate data) rather than trying to do everything in one pass. Tomorrow I can map your specific data sources and design the agent's action schema. What data are you looking to surface first, and should the agent trigger scrapes on a schedule or on-demand? That'll help me lock down the timeline and make sure we're building the right MVP. Best regards, Val --- **Why this works:** - Opens with a **specific mirror** of their pain (scraping reliability + site changes) - **Concrete tech choices** (LangChain ReAct, Playwright, caching) show you've done this before - **Honest scope** (MVP) and a **commitment question** that moves toward closing - Avoids the $1500 trap by pivoting to clarification—once they answer, you can scope to fit or negotiate based on real requirements - No fluff, no self-intro, all voice

@HASEEB1803

I am available to hop on a brief call to discuss the specific list of resorts you are targeting and the frequency of updates required. I can provide a Proof of Concept (PoC) showing data extraction from a single resort within 48 hours. Best regards, Haseeb

@fizaa170

Travel data scraping usually gets messy with inconsistent layouts and frequent changes on hotel sites, I’ll build a reliable AI workflow that extracts pricing, availability, amenities, and key highlights cleanly and keeps it structured for your use. Kya aap specific resorts list denge ya system dynamic discovery kare? Aur data real-time chahiye ya scheduled updates enough hain?

@arshkumar213

I’ll build an Agentic AI system using Python (Scrapy/Playwright + LLM layer) to extract pricing, availability, amenities, and location insights from hotel sites. Includes structured data pipeline, scheduling, and smart summarization for decision-making. Anti-bot handling + scalable design.