Octoparse Tutorial #2 - How to scrape business listings from Google Maps? No coding required!
Автор: Michael Kitas
Загружено: 2024-12-11
Просмотров: 1218
Описание:
💥 Use 24MK20 at checkout to Get 20% off: https://bit.ly/octoparse-signup
Need to Scrape More Contact Details via Google Maps?
Option 1:
Step 1: Use Google Maps Scraper to scrape the website URLs first, which can scrape 1,000 results max instead of 120 results per search: https://bit.ly/octoparse-advanced
Step 2: Input the website URLs into Email & Social Media Scraper or Contact Details Scraper:
https://bit.ly/octoparse-socials-scraper
https://bit.ly/octoparse-contacts-scr...
Option 2:
Download Octoparse AI and use the app Google Maps Contact Extractor which supports unlimited URLs and can scrape faster and more stable. It can scrape all emails from the webpage source code as well as social media links including Facebook, YouTube, TikTok, Twitter, and Instagram:
https://bit.ly/octoparse-ai
🎥 Video Description:
Welcome to the second episode of the Octoparse Tutorial Series! In this video, we’ll show you how to use Octoparse to extract listings from Google Maps quickly and effortlessly. No complex configurations or setups—just straightforward steps to get the data you need.
🔍 What You’ll Learn in This Episode:
Using Octoparse templates for listings scraping on Google Maps.
Setting up and running the pre-built template for accurate data collection.
Extracting listings details without manual configuration or scripting.
Tips for maximizing efficiency and accuracy with Octoparse templates.
🧩 Learn About:
The ease of using pre-designed templates for data extraction.
How to gather listings details from Google Maps.
Automating repetitive tasks with minimal effort.
🔗 Helpful Links:
Google Maps Listings Scraper Template (by URL): https://bit.ly/octoparse-by-url
Google Maps Listings Scraper Template (by keyword): https://bit.ly/octoparse-by-keyword
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🏷 Tags:
#octoparse #webscraping #googlemaps #emailscraping #scrapingtutorial
Let’s get started with Octoparse templates to simplify your data extraction process—subscribe for more easy-to-follow tutorials! 🚀
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