Custom Web Scraping Solution
Budget: ₹1,500 – ₹12,500 INR
Project Title:
Custom Web Scraping Project: Comprehensive F&B Dataset for Hyderabad, Mumbai, and Bangalore
Project Objective:
To develop and deliver a single, comprehensive dataset of all restaurants, bars, pubs, cafes, hotels, and other Food & Beverage (F&B) businesses in Hyderabad, Mumbai, and Bangalore. The dataset must be extracted primarily from Google Maps, Zomato, and optionally other reliable directories, containing relevant business details for marketing and analysis purposes.
Deliverables:
A consolidated dataset in CSV, Excel, or JSON format including:
Business name
Full physical address
GPS coordinates (latitude and longitude)
Phone number(s)
Cuisine type(s)
Business category (e.g., restaurant, bar, pub, cafe, hotel)
Ratings and reviews (where available)
Website or social media links (if available)
The data must be cleaned, deduplicated, and validated for accuracy and completeness.
Documentation describing the data sources, extraction methodology, and any limitations regarding data freshness or completeness.
Project Scope:
One-time data extraction; no ongoing scraping or updates required.
Target sources include Google Maps and Zomato, with permission to use other credible platforms if necessary.
Use of proxies, CAPTCHA solving, and anti-blocking mechanisms to ensure reliable data extraction.
Strict adherence to ethical scraping practices and as much compliance with terms of service as possible.
Skills Required:
Proven expertise in web scraping complex, dynamically loaded websites like Google Maps and Zomato.
Proficiency in Python and libraries such as Selenium, Scrapy, BeautifulSoup, or equivalent technologies.
Experience with proxy management, anti-blocking strategies, and CAPTCHA bypass solutions.
Strong data cleaning and validation skills to provide a high-quality dataset.
Ability to provide clear documentation and final deliverables in requested formats.
Timeline:
Please specify the estimated time needed to complete and deliver the dataset.
Custom Web Scraping Project: Comprehensive F&B Dataset for Hyderabad, Mumbai, and Bangalore
Project Objective:
To develop and deliver a single, comprehensive dataset of all restaurants, bars, pubs, cafes, hotels, and other Food & Beverage (F&B) businesses in Hyderabad, Mumbai, and Bangalore. The dataset must be extracted primarily from Google Maps, Zomato, and optionally other reliable directories, containing relevant business details for marketing and analysis purposes.
Deliverables:
A consolidated dataset in CSV, Excel, or JSON format including:
Business name
Full physical address
GPS coordinates (latitude and longitude)
Phone number(s)
Cuisine type(s)
Business category (e.g., restaurant, bar, pub, cafe, hotel)
Ratings and reviews (where available)
Website or social media links (if available)
The data must be cleaned, deduplicated, and validated for accuracy and completeness.
Documentation describing the data sources, extraction methodology, and any limitations regarding data freshness or completeness.
Project Scope:
One-time data extraction; no ongoing scraping or updates required.
Target sources include Google Maps and Zomato, with permission to use other credible platforms if necessary.
Use of proxies, CAPTCHA solving, and anti-blocking mechanisms to ensure reliable data extraction.
Strict adherence to ethical scraping practices and as much compliance with terms of service as possible.
Skills Required:
Proven expertise in web scraping complex, dynamically loaded websites like Google Maps and Zomato.
Proficiency in Python and libraries such as Selenium, Scrapy, BeautifulSoup, or equivalent technologies.
Experience with proxy management, anti-blocking strategies, and CAPTCHA bypass solutions.
Strong data cleaning and validation skills to provide a high-quality dataset.
Ability to provide clear documentation and final deliverables in requested formats.
Timeline:
Please specify the estimated time needed to complete and deliver the dataset.