Google SERP Scraper
Pay $1.00 for 1,000 results
Google SERP Scraper
Pay $1.00 for 1,000 results
Extracting detailed data from Google Search Engine Results Pages (SERPs) specific to search, including organic and paid listings, descriptions, URLs, and emphasized keywords. Ideal for digital marketers, SEO professionals, and market researchers. It will not scrap each site (easy and light run).
You can access the Google SERP Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("quaking_pail/google-serp-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Google SERP Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google SERP Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
- 17 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Jul 2024
- Modified 13 days ago