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ScrapeLinkedInLinkedInprofiles by search term
Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape Google Search Google AI Search into Make
Google SearchMake

How to Scrape Google Search Google AI Search into Make

Extract google ai search data from Google Search and pipe into Make automatically

Step-by-step guide

1

Choose the Google AI Search scraper

Navigate to the Google AI Search scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

2

Set up your Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

3

Provide your Google Search input URLs

Paste the Google Search URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

4

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

5

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 8 fields like url, prompt, answer_html, answer_text. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

8 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Prompt
sample_prompt
Answer Html
sample_answer_html
Answer Text
sample_answer_text
Links Attached
sample_links_attached
Citations
sample_citations
Organic Results
sample_organic_results
Input Url
https://www.linkedin.com/in/sarahchen

Data Dictionary

8 fields returned per record

Google AI search URL (100.00% fill rate)

The input search prompt (100.00% fill rate)

The AI-generated answer in HTML format (100.00% fill rate)

The AI-generated answer in plain text (98.59% fill rate)

Links attached to the AI answer (40.82% fill rate)

Sub-fields

urlTextLink URL
textTextLink text
positionNumberPosition in the answer

Source citations referenced in the AI answer (87.85% fill rate)

Sub-fields

urlTextCitation source URL
titleTextCitation title
snippetTextCitation snippet

Organic search results alongside the AI answer (72.14% fill rate)

Sub-fields

titleTextResult title
urlTextResult URL
descriptionTextResult snippet
rankNumberPosition in results

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Google Search Google AI Search into Make

Ready to connect Google Search data to Make?

Start extracting google ai search data and pipe into Make in minutes.

Go to Google AI Search scraperBrowse all integration guides
No code requiredAuto-delivery to Make8 data fields