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Google Search Results Scraper

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Pay $3.50 for 1,000 results

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Google Search Results Scraper

Google Search Results Scraper

apify/google-search-scraper
Try for free

Pay $3.50 for 1,000 results

Scrape Google Search Engine Results Pages (SERPs). Select the country or language and extract organic and paid results, ads, queries, People Also Ask, prices, reviews, like a Google SERP API. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

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You can access the Google Search Results 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    "queries": """javascript
10typescript
11python""",
12    "resultsPerPage": 100,
13    "maxPagesPerQuery": 1,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("apify/google-search-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Search scraper and SERP API 🔎 API in Python

The Apify API client for Python is the official library that allows you to use Google Search Results 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 Apify
Actor metrics
  • 1.7k monthly users
  • 197 stars
  • 100.0% runs succeeded
  • 2.6 days response time
  • Created in Feb 2019
  • Modified about 12 hours ago