google_maps_scraping_presentationnn.pptx

tahrimmariya2007 0 views 13 slides Oct 07, 2025
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About This Presentation

This is scraping data from Google maps it is required for maps and finding resturant hospital in our area


Slide Content

Scraping Data from Google Maps (Basics & Best Practices) A short PPT — kaam ki cheezen, legalities, aur code snippets Prepared for: Tahrim Mariya

Agenda 1. Overview: Google Maps data kya hota hai 2. Legal & Terms — kya allowed hai, kya nahi 3. Official APIs (recommended) — Google Maps Platform 4. Scraping (automation) — Selenium, BeautifulSoup etc. (when and how) 5. Rate limits, proxies, ethical considerations 6. Code snippets & demo idea 7. Storage, parsing, best practices 8. Resources & next steps

Google Maps Data — kya milta hai? Place name, address, coordinates (lat/lng) Phone number, website, opening hours (agar available) Reviews, ratings, photos (user-generated) Directions, place_id (unique identifier)

Legal & Terms — zaroori baatein Google Maps data pe Google ke Terms of Service lagu hote hain. Official method: use Google Maps Platform APIs (Places, Geocoding, Maps JavaScript). Unauthorized scraping of UI results can violate Terms and may block your IP or lead to legal action. Always check Google Maps Platform pricing, quota, and attribution requirements.

Official APIs — kyun use karein? Reliable, supported, scalable (Places API, Geocoding API, Maps JavaScript API). Proper attribution and billing; consistent data formats (JSON). Example use-cases: bulk place details, geocoding addresses, autocomplete.

Places API — short example (recommended) # Python example: Google Places API (Place Search -> Details) import requests API_KEY = "YOUR_API_KEY" search_url = "https://maps.googleapis.com/maps/api/place/textsearch/json" params = {"query": "restaurants in Hyderabad", "key": API_KEY} r = requests.get(search_url, params=params) results = r.json().get("results", []) for place in results: name = place.get("name") place_id = place.get("place_id") location = place.get("geometry", {}).get("location") print(name, place_id, location)

Automation / Scraping (Selenium) — concept # Selenium example (conceptual) - extract names from search results from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.chrome.options import Options opts = Options() opts.add_argument('--headless') driver = webdriver.Chrome(options=opts) driver.get('https://www.google.com/maps/search/restaurants+in+Hyderabad') # wait for results, then: places = driver.find_elements(By.CSS_SELECTOR, 'div[role="article"]') for p in places[:10]: try: name = p.find_element(By.CSS_SELECTOR, 'h3').text except: name = "N/A" print(name) driver.quit() # NOTE: Scraping the Maps website can trigger blocks and violates Terms.

Rate limits, Proxies & Ethics Avoid high-frequency automated scraping; it can get blocked. If you must automate, respect robots.txt, backoff, and use caching. Proxies and headless browsers may hide identity — but can violate ToS. Prefer API; ask for permission from data owner if needed.

Parsing & Storage — madadgar tips Store raw JSON (if API) + cleaned CSV/DB for analysis. Normalize place_id to avoid duplicates. Include timestamp, source, and snapshot of data. Consider GDPR and privacy — do not store sensitive personal data.

Best Practices — workflow 1) Try API first (Places, Geocoding). 2) Implement rate limiting, retries, and exponential backoff. 3) Respect attribution and pay for usage if required. 4) Keep a data audit log & use secure storage.

Tools & Demo Idea Tools: Google Maps Platform, requests, python-pptx, Selenium, BeautifulSoup, Postgres, MongoDB Demo project: 'Local Restaurants Dataset' using Places API -> clean -> map visualization If API limit reached: consider batching, caching, or contacting Google for higher quota.

Resources (check official docs) Google Maps Platform docs (Places API, Geocoding API) Selenium documentation for automation python-requests, BeautifulSoup for parsing Read Google Maps Terms of Service before scraping

Conclusion & Next Steps Official APIs are safest and recommended. Scraping UI should be last resort & carries legal risk. Want? I can also add screenshots, flow diagrams, or translate slides to Roman Urdu fully.
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