From the perspective of internet search trends, Google indexes the vast majority of search pages. A Google SERP scraper is a tool or software used to extract data from Google Search Results Pages (SERPs). The extracted data includes information such as titles, URLs, and other elements from specific search queries. By analyzing these trends, scraping Google Search Results pages allows us to access richer datasets.
How to Scrape Google Search Results Pages?
Method 1: Traditional Web Scraping with Tools like Web Scraper
First, install the Web Scraper extension and open Chrome Developer Tools by pressing F12.
Next, click "Create new sitemap," set the starting URL to the Google Search Results page you want to scrape, configure the selector, and specify the data to be extracted.
Finally, run the crawler, wait for the scraping process to complete, and export the results as a CSV file.
Note: For non-structured data like email addresses, use the following regular expression formula in Excel to extract them:
language
[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}Method 2: Using Third-Party SERP APIs
Third-party SERP crawler APIs, such as Bright Data, SerpApi, and Apify, can be used. Choose one, install it, and configure it accordingly. Select the appropriate options based on the content you want to scrape. Below is a small example for reference (Python).
Python
import requests
import json
import os
# --- 1. Configuration ---
# It is recommended to set through environment variables.API Key: set SERPAPI_KEY=YOUR_KEY
API_KEY = os.getenv("SERPAPI_KEY", "YOUR_API_KEY_HERE")
# Search parameters
params = {
"q": "best pizza in new york city",
"location": "New York, New York, United States",
"engine": "google",
"gl": "us",
"hl": "en",
"api_key": API_KEY
}
# --- 2. Main Logic ---
try:
print(f"🚀 Searching: '{params['q']}'...")
response = requests.get("https://serpapi.com/search.json", params=params, timeout=20)
response.raise_for_status()
# Directly obtain the parsed JSON data.
results = response.json()
# --- 3. Extract and print core results ---
local_places = results.get("local_results", {}).get("places", [])
if local_places:
print(f"\n--- 📍 GooglePopular results of the map package ---")
for place in local_places:
print(f" - {place.get('title')} ({place.get('rating')} ⭐)")
# --- 4. Save the file ---
with open("nyc_pizza_results.json", "w", encoding="utf-8") as f:
# Save the entire JSON response for later analysis.
json.dump(results, f, ensure_ascii=False, indent=2)
print("\n✅ The complete data has been saved to nyc_pizza_results.json。")
except requests.exceptions.RequestException as e:
print(f"❌ Request failed: {e}")