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Google Search Scraper

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Google Search Scraper

Google Search Scraper

epctex/google-search-scraper
Try for free

3 days trial then $20.00/month - No credit card required now

Boost SEO with our tool! Explore organic & paid results, People Also Ask, and Related Queries. Select countries, languages, and precise locations for tailored insights.

You can access the Google Search 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    "startUrls": ["https://www.google.com/search?q=fitness"],
10    "queries": ["sculpture"],
11    "locationUule": "w+CAIQICIIaXN0YW5idWw=",
12    "maxItems": 20,
13    "endPage": 1,
14    "extendOutputFunction": "($) => { return {} }",
15    "customMapFunction": "(object) => { return {...object} }",
16    "proxy": { "useApifyProxy": True },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("epctex/google-search-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Search Scraper API in Python

The Apify API client for Python is the official library that allows you to use Google Search Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 55 monthly users
  • 3 stars
  • 98.3% runs succeeded
  • 5.4 hours response time
  • Created in Sep 2023
  • Modified about 10 hours ago