OpenTable US Multi-Location Restaurant Data Extraction -- 2

@ZohaibRoy

⭐⭐⭐⭐⭐ Extract US Restaurant Brands from OpenTable Efficiently ❇️ Hi My Friend, I hope you are doing well. I just checked all of your project requirements and I can see you are looking for a data researcher to extract US-based restaurant brands from OpenTable. You have no need to look any further as Zohaib is here to help you! My team has already completed 50+ similar projects for data extraction. I will use a combination of OpenTable searches and web scraping to gather accurate data for your needs. ➡️ Why Me? I can easily do your project as I have 5 years of experience in data research and extraction. My expertise includes web scraping, data validation, and data organization. Not only this, I have a strong grip on Python and related technologies, ensuring precise and organized results for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Data Research ✅ Web Scraping ✅ Python Programming ✅ Data Validation ✅ CSV File Management ✅ Data Analysis ✅ Brand Normalization ✅ Location Verification ✅ OpenTable Navigation ✅ Information Organization ✅ Data Cleaning ✅ Attention to Detail Waiting for your response! Best Regards, Zohaib

@ESOLUTIONSSS

Hello, I'll be glad to assist you with this project. I can work with you during the next hours to have this done. I will complete this project with 100% accuracy. Click on the "CHAT" button so we will discuss it in detail. I'm always online and available. Please feel free to contact me at any time. I am available 24/7 for support. Best Regards Sandeep

@intelliresponse

Drawing on my 13+ years of specialization in customized Python-based web automation, data mining and extraction, AI solutions, and more, I am uniquely positioned to excel at your project. In alignment with your requirements, my data extraction approach will include OpenTable's city/state search function and web scraping. Using Python-based tools like Selenium, BeautifulSoup, Scrapy, and Playwright, I'll efficiently extract restaurant brands that meet your criteria while ensuring accuracy. As this is not my first rodeo with complex scraping projects, I am well aware that precision is the key driver rather than speed, which is why I assure you top-notch quality and compliance with your detailed requirements. In terms of timing, considering the vastness of the task at hand I would be able to provide the 400 qualified restaurant brands you require within a week's timeframe. Looking forward to working with you!

@DedicatedVA

We can complete this accurately and at scale. We’ll scrape and structure OpenTable US listings (by city/state), normalize brand names to group multi-location operators, then verify total company-wide location counts directly from each brand’s official website. We’ll exclude independents, tech/media/suppliers, and chains outside the required range. Each entry will be double-validated to ensure 15–50 total US locations, with at least one active OpenTable listing. Final delivery will be a clean, de-duplicated CSV with all requested source URLs. Estimated timeline: 5–7 days for 400 fully verified brands. We confirm we understand the requirement: only US-based restaurant brands with 15–50 total locations, at least one listed on OpenTable. Would you like us to provide the 10-row sample first before proceeding with the full 400-brand extraction?

@jinufeb14

With my extensive experience in data analysis and mining, and my added skills in Python programming for web scraping, I am confident in my ability to meet all your requirements for this project. To ensure accuracy, I would mainly use the OpenTable search by city/state feature and complementarily utilize a web scraping process. This way, we'll have clean data with no duplicates of the required number of US-based restaurant brands. I understand that you need the job done timely without compromising quality. As a dedicated freelancer known for prompt task completion, I estimate this project can be delivered within 7-10 days. However, I assure you that accuracy remains our priority. In conclusion, my meticulousness coupled with deep technical skills makes me an ideal fit for this extraction project. Given the chance, my goal is to ensure timely delivery while surpassing your expectations in terms of quality and thoroughness of the data extracted. I eagerly await the opportunity to assist you.

@HiraMahmood4072

Hi, I hope you're doing well. I understand you're looking for OpenTable US Multi-Location Restaurant Data Extraction -- 2 I am the ideal candidate for your project. I have read the provided job description and I understand what you are looking for. I have over 10+ years of experience Python, Data Entry, Web Scraping, Data Mining, Data Extraction, Data Analysis, Data Collection, Data Management .Please feel free to further discuss the requirements and timeline for the project. I'd be happy to assist you. I am ready to start right now. ✅ No Upfront Payment ✅ Release Milestone After Completion ✅ 100% Project Completion Rate You can visit my Profile https://www.freelancer.com/u/HiraMahmood4072 Thank you

@denisSolution

Hello client, I’ve carefully reviewed your job description and have strong experience in these Data Management, Data Collection, Web Scraping, Data Analysis, Python, Data Entry, Data Mining and Data Extraction. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@quan9824

Hello, dear... I checked your project details carefully. I have rich experienced in Web Scraping, expecially bypassing various CAPTCHA and DataDome protection. I have full experience to develop python code for extracting the specific data from web site with python, HTML, CSS and JavaScript. I am sure for your project and i can complete your project perfectly on time and with high quality. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@Rekhathakur

Dear Client, I bring a considerable amount of experience and skills for your data extraction project. My proficiency in data analysis and entry, coupled with my expertise in Python will allow me to seamlessly extract qualified restaurant brands from OpenTable as per your requirements. I understand the criticality of accurate data and I assure you 100% accuracy stemming from my meticulous approach. I plan to use OpenTable search by city/state, web scraping (Python allowed), grouping/normalizing brand names and official website location pages for verification as your project necessitates. As for the 15-50 total location requirement, I've understood it clearly and can confidently work within this parameter, ensuring no duplicates sneak into the final deliverable. At Wellspring Infotech, we're not just solution-providers; we're also strategic partners who share your business goals. We commit to accelerating growth and innovation while improving operational efficiency and customer satisfaction!!! Thank you!!!!

@usamae

Read through your requirements - 70-100 US restaurant brands with 70+ locations on OpenTable, all the columns you listed, no scraping. Got it. I can pull this via the OpenTable search API endpoints + cross-reference with their location pages for accurate counts. No automation/scraping - just direct API calls and manual verification where needed. I'll deliver a clean CSV with all your columns within 5 days. Can share a sample row before I start so you can confirm the format is right. - Usama

@Ussama91

I will extract US multi-location restaurant brands from OpenTable, focusing on brands with 15-50 locations, using web scraping with Python, and verifying location counts on official websites, delivering a CSV file with required columns, targeting 400 qualified brands, with a sample of 10 rows provided for verification, and adapting to the proposed budget, ensuring accuracy over speed, my estimated completion time will depend on the complexity and scope of the project. Waiting for your response in chat! Best Regards.

@farahsaqib425

Hello, I understand the requirement: extract US-based restaurant brands with 15–50 total company-wide locations, with at least one active OpenTable listing, excluding single locations and chains over 50 units. My method includes structured OpenTable city searches, brand name normalization, manual verification of total locations via official websites, and strict filtering to ensure accuracy and no duplicates. I will deliver a clean, verified CSV with all required fields and source links. Estimated delivery time for 400 qualified brands: 5–7 days, with a 10-row sample within 24 hours. Best Regards, Farah.

@mayankinnovative

Hi, As per my understanding: You need 400 US-based restaurant brands operating between 15 and 50 total locations company-wide, with at least one location listed on OpenTable. Brands must be true restaurant operators (no vendors, media, tech firms, or consultants). Each entry must be verified via the official website for total location count and delivered in a clean CSV including: Brand Name, Website, Verified Total Locations, Source URL confirming count, one OpenTable listing URL, and Notes. No duplicates, no independents, and no chains above 50 units. Accuracy and verification are critical. Implementation approach: I will extract candidate brands via OpenTable city/state searches using structured scraping (Python + BeautifulSoup/Playwright). Brand names will be normalised and deduplicated. Each brand will then be verified manually/semi-automatically against its official website location page to confirm total US units (15–50 only). I will log the source URL used for verification and exclude non-operators. Final dataset will be cleaned, cross-checked, and exported to CSV with validation checks to prevent duplication. Estimated timeline: 5–7 days for 400 verified brands. I confirm the 15–50 location requirement. A few quick questions: Should franchises be included if brand-owned? US only, excluding international counts? Are fast-casual and QSR acceptable? Preferred CSV delimiter? Deadline?

@Azursol

Hello , I am a skilled data researcher with extensive experience in extracting and organizing data from various online platforms. I understand your need for extracting US-based multi-location restaurant brands from OpenTable and am confident in my ability to deliver accurate results efficiently. To ensure I meet your requirements, I will utilize a combination of OpenTable search functionalities, web scraping techniques (utilizing Python if needed), and thorough verification through official restaurant websites. I will prioritize accuracy over speed to guarantee the quality of the final deliverable. I am ready to provide a 10-row sample as proof of my understanding of the project requirements and discuss my approach further to address any questions or concerns you may have. Looking forward to the opportunity to collaborate on this project. Best regards,

@eshA0010

As an experienced data analyst and web scraper, I am confident in my ability to effectively extract the US multi-location restaurant data you require from OpenTable. My approach is rooted in accuracy, organization, and reliable results - all core tenants of your project needs. Utilizing OpenTable's search function by city/state combined with web scraping techniques, I will efficiently group and normalize brand names to eliminate duplicates and single-site independents for your clean CSV end-deliverable. Proof of my abilities lies in the 10 row sample I've extracted for your review. Additionally, I bring advanced Excel proficiency and VBA automation skills to the table which will streamline the extraction process as well as contribute towards delivering a reliable database. Having focused on building structured systems for businesses, I acknowledged the importance of maintaining clean data which aligns perfectly with your goals for this project. In terms of completion time estimation, considering roughly 400 qualified restaurant brands need to be delivered along with verifying their official website URLs and source URLs confirming location count, I believe a realistic timeframe would be around 2 weeks. However, I value accuracy above all else so can make necessary revisions in our timeline if it deems necessary during the process. Choose me for dependable results with a professional touch.

@maryamn35

Hi there, I understand you need 400 US-based restaurant brands operating between 15–50 total locations, with at least one OpenTable listing, verified against their official website location count and delivered in a clean, de-duplicated CSV. My method is to systematically search OpenTable by major US metros, normalize brand names, then verify total location counts via official “Locations” pages before documenting a source URL confirming the count. I’ll exclude independents, brands over 50 units, and non-operators, and include one valid OpenTable listing per brand. Estimated completion time: 5–7 days for 400 fully verified entries with spot-check validation. I confirm I understand the strict 15–50 total location requirement and the need for accuracy over speed. Best regards, Maryam

@jesica46

Hello, After reviewing your project on domestic charter flight analysis, I clearly understand that this requires not just data processing, but strategic insight that supports financial and operational decision-making. As a Data Scientist with strong expertise in Python, R, and advanced Excel analytics, I specialize in transforming complex datasets and transcripts into structured, decision-ready insights. For your project, I will: ✔ Conduct structured qualitative and quantitative analysis aligned with your objectives ✔ Clean, validate, and structure raw datasets for analytical accuracy ✔ Apply statistical modeling and exploratory data analysis (EDA) using Python/R ✔ Identify key patterns, cost drivers, and performance indicators ✔ Deliver a clear analytical report with visualizations and actionable recommendations My focus is not just on analysis — but on delivering insights that directly support smarter, data-driven decisions. You can expect: • Well-documented methodology • Transparent working files (Python/R scripts or Excel models) • Clear visual dashboards (if required) • On-time delivery with professional communication I am ready to begin immediately and would welcome the opportunity to review your dataset to ensure the analysis fully aligns with your strategic goals. Looking forward to delivering measurable value to your project. Best regards,

@mahrsaad211

As an experienced data researcher, I understand the importance of accuracy, attention to detail, and efficiency in data extraction. I have all the necessary skills needed for this project, which include data scraping, web research, and data collection - all of which are vital to accurately extract the US multi-location restaurant brands you require.

@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