Scalable Python Travel Scraper (Greece): 25k–30k Records (Restaurants, Activities, Cruises)

@leelakalidas32

As a seasoned Python developer with a unique focus on data extraction and web scraping, I'm thrilled to submit my proposal for your project. I've not only survived in the face of large-scale data challenges—exactly like the one you're presenting—but I have thrived by utilizing powerful libraries like Scrapy, BeautifulSoup, Selenium, and requests. My experience spans various verticals including travel aggregation, which enabled me to grasp the nuances of major platforms like TripAdvisor and Google Maps making it easier for me to swiftly adapt.

@ShaikhAneesa

Hello, I have thoroughly reviewed the project requirements for the Scalable Python Travel Scraper (Greece) project, focusing on scraping 25k-30k records from various categories like Restaurants, Activities, and Cruises in Greece. Let's chat and discuss it further. To handle your project, I will start with developing a robust Python script using industry-standard libraries like Scrapy and Selenium for efficient web scraping. My approach involves creating a self-contained script to extract data from major travel platforms and aggregators such as TripAdvisor and Google Maps, ensuring seamless integration with a remote Linux VPS and VPN for IP protection. The deliverables for this project will include a clean, deduplicated CSV file containing 25k-30k unique rows with essential data fields like Establishment Name, Address, Category, and optional fields based on site policies. Before signing-off my bid, I would like to ask a question, i.e., how do you envision utilizing the extracted data for educational and statistical analysis? Best Regards, Aneesa.

@Muhammadzeesha59

Hello Sir/ Mam I have checked Requirements As a seasoned developer with a wealth of Experience in Python , Automation, DevOps ,Web Application , Linux , Penetrating Testing , Network security , Web security , Software Testing , Network Administration, Volp , SIP , Telecom Sales , Docker . Nginx . I'm confident I can bring your virtual reality project to life. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@ashinnd84

Hi, Your project "Scalable Python Travel Scraper (Greece): 25k–30k Records (Restaurants, Activities, Cruises)" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: BeautifulSoup, Selenium, Scrapy, Data Extraction, Python, Web Scraping, Data Mining, Software Architecture, Data Analysis, Data Management. My bid is $128, within your $80-150 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Scalable Python Travel Scraper (Greece): 25k–30k Records (Restaurants, Activities, Cruises) I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statisticaal programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@ianb65

Hi there, The scrape stability issue is usually IP blocking, deduping noise, and inconsistent fields across TripAdvisor-style pages. I’ve spent the last 4 years solving exactly this type of problem, and I’d build a resilient Python pipeline with Scrapy for structured crawling, Selenium only where rendering is required, clean deduplication, throttling, robots.txt-aware request logic, and CSV exports with the exact schema you need. For VPS + VPN integration, I’ll make the scraper detect the VPN interface cleanly, reconnect safely on failures, and fail over without breaking the run on Linux. Best regards, Ian

@robertb297

Hi there, The key here is building a scraper that can reliably produce 25,000+ usable records rather than simply collecting pages, especially with duplicate listings and dynamic travel data. I’d begin with the 100 record validation milestone, then build a resumable Python scraper with structured extraction, deduplication, throttling and VPS deployment support. The final delivery would include the complete CSV, documented source code and requirements file. Budget: $150 fixed Timeline: 5–7 days Which source would you like me to use for the initial 100 record validation?

@MIndlabsAi6

Hey, I’m beyond excited to take this on! I recently wrapped up a similar project with good results. Drawing from my experience in Python, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Extraction, BeautifulSoup, Data Analysis, Selenium, Data Management, I’m ready to dive into your project. Please come over chat and discuss your requirement in a detailed way. Cheers, Vishal Maharaj

@Ritesh11gupta

I can build a solid Python scraper to gather those 25k to 30k records on restaurants and activities in Greece. How do you envision handling the data once it's scraped? Let's make this work!

@adriank06

Hi there, At this scale, the main challenge is not writing a scraper but keeping the dataset consistent, deduplicated and reliable across dynamic travel sources without building a fragile crawler. I would start with the 100 record sample, establish the schema and extraction logic, then build the Python pipeline around throttling, deduplication, validation and resumable execution so a VPS interruption does not corrupt the dataset. The final package would include the source, requirements and documented deployment configuration. Budget: $150 fixed Timeline: 5–7 days Can you confirm which source should be prioritized for the first 100 record sample so I can validate the extraction approach before scaling it?

@eaglegraphics247

I hope you're doing well! My name is Nawal, and I bring over nine years of experience in Scalable Python Travel Scraper (Greece): 25k–30k Records (Restaurants, Activities, Cruises). After carefully reviewing your project brief, I’m confident that I understand your needs and can deliver exactly what you're looking for. Here’s what I offer: ✅ Multiple initial drafts within 24 to 48 hours ✅ Unlimited revisions until you're 100% satisfied ✅ Final delivery in all required formats, including the editable master file and full copyright ownership You can check out my portfolio and past work here: ? Freelancer Profile – eaglegraphics247 I’d love to discuss your project further and explore how we can make your vision a reality. Let me know a convenient time for a quick chat! Looking forward to working together. Best regards, Nawal

@predragr3

✅✅✅ Hi, there ✅✅✅ I can provide you with a comprehensive Python scraping solution tailored to your specific needs in Greece. My fixed price for the project is $XXXX. For VPS + VPN integration, I will set up the script to run on a remote Linux VPS, ensuring seamless operation. I will configure a non-commercial VPN client like OpenVPN/WireGuard to avoid IP blocks and ensure data collection efficiency. In the past, I have successfully completed similar travel scraping projects, including large-scale data spiders for major platforms. You can check out my previous work here: [link to portfolio]. I am confident in my ability to deliver high-quality results within your specified milestones. Let's work together to create a robust scraping solution for your educational and statistical analysis needs. Looking forward to discussing further details with you. ✌️ Predrag ✌️

@davidromano7859

Hi, I'll build you a production-ready Python scraper that collects 25k–30k travel records from Greece sources and stores them in a structured, clean format. I'll design the solution with retry logic, rate limiting, and proxy rotation to handle scale reliably without getting blocked. For data management, I'll set up a pipeline that deduplicates records, validates fields, and exports to your preferred format—CSV, JSON, or a database. I recently built a Python-based data extraction system that processed large datasets with automated quality checks, so I know how to keep things stable under volume. I'll structure the code so it's easy to maintain, extend to new sources later, and run on a schedule if needed. Best regards, David

@emrahg7

Hi, The thing that'll actually cause you grief here isn't the scraping, it's TripAdvisor and Google Maps blocking your IPs mid-run once volume ramps up. That's why I build in throttling plus VPN rotation from day one instead of bolting it on after you get blocked at record 8,000. For the build: I'll use Scrapy for the crawling since it handles retries and pacing well, with a fallback to Selenium for pages that need a browser to render. Everything logs progress so if a run gets interrupted on your VPS, I can restart it without duplicating rows. Output is one deduped CSV with your mandatory fields locked in, and we finalize the optional fields once I see what each site actually exposes without triggering blocks. I've built scrapers exactly like this before, aggregator sites with anti-bot walls, so the VPN piece isn't guesswork for me. I can deliver the sample milestone fast, then the full 25k-30k dataset in a day total. Fixed price for the whole scope is $1,400. Best, Emrah

@zeljkop2

Hi there, Your project needs a resilient, production-ready scraper that can safely collect 25k-30k deduplicated Greece records without breaking on VPS deployment or VPN routing. I have spent the last 4 years solving exactly this type of problem, building Python data pipelines with Scrapy, Selenium, BeautifulSoup, rotating proxies, throttling, and structured export logic. I will design a modular engine that extracts the required fields, normalizes addresses and categories, deduplicates aggressively, and outputs a clean CSV plus requirements.txt. For VPS + VPN integration, I will use a fail-safe OpenVPN/WireGuard CLI wrapper with connection health checks, automatic retry logic, and graceful fallback so the scraper pauses rather than crashes when the tunnel drops. Which sources are highest priority for the first 100-row sample: TripAdvisor only, or TripAdvisor plus Google Maps? Best regards, Zeljko

@edgardop86

Hello, will the VPS be pre-configured with the desired VPN client or is that part of the setup? I can build the Python scraping solution using Scrapy, configuring it for IP rotation and throttling through a VPN CLI to prevent blocks, similar to how I've handled other large-scale data collection projects like TryReplify. This ensures robust and ethical data extraction for your 25k+ records.

@zuaibahmedd

Hi, I can build a scalable Python scraping system using Scrapy/Selenium with intelligent throttling, deduplication and structured CSV output. The scraper will be VPS-ready with reliable VPN routing, error handling, retries and detailed documentation. I’ll first validate a 100-record sample, then scale the same pipeline to the complete dataset. You’ll get a reusable production-ready scraper that can efficiently collect, clean and maintain large datasets.

@richardd208

The project requires a scalable scraping workflow that can produce a large, structured dataset while remaining reliable on a VPS environment and handling source limitations carefully. I would begin by validating the target sources, defining the final schema, and delivering a small sample dataset before expanding the crawler. The full solution would be structured as a maintainable Python scraper with deduplication, throttling, configuration options, and clear dependency setup for deployment. Using Python and data scraping techniques, I would organize the extraction pipeline so categories, locations, and output fields can be adjusted without rewriting the core logic. The VPS setup would be considered during development to ensure the crawler can run consistently with the required network configuration. Could you confirm which exact platforms are mandatory for the final dataset and whether you already have access to the VPS and VPN configuration that should be used?

@JohanEngelb

VPS AND VPN INTEGRATION CAN MAKE OR BREAK A SCRAPING PROJECT. I would love to help you build this scalable Python travel scraper for Greece. My experience includes developing robust scraping solutions for various platforms, ensuring compliance and efficiency. I plan to tackle the VPS and VPN integration by utilizing a reliable configuration of OpenVPN, ensuring that the script can run smoothly without interruptions. Could you clarify if you have preferred libraries for the project? Also, is there a specific timeline you have in mind for the milestones? The worst case of reaching out is a free consultation to discuss your needs further. Regards, Johan