SEO teams
AI source tracking
Favorable to scraping
Compare which domains appear as supporting sources for a topic, then pair the export with the Google Search Scraper to compare classic SERP visibility.
Search Engine$50Free
Google AI Mode Scraper for CSV Export
This Google AI Mode scraper exports a best-effort AI answer snapshot and its cited source metadata into a structured CSV. Import the workflow into the UScraper local desktop app, review the bundled reference URLs, and collect AI response, index count, source title, source URL, description, and website name without building a Google AI Mode API integration.
Output
CSV
Columns
7
Inputs
URL loop
Waits
Built in
Template
Free
At a glance
Export Google AI Mode source data without code
Google AI Mode can change markup, block automation, or send referenced pages through anti-bot interstitials. This template handles that reality by shipping an equivalent best-effort workflow based on the source URLs shown in the preview dataset for the query "web scraping." You can replace or extend those URLs in the Navigate block to collect the source set your team wants to review.
The automation path is simple: Navigate opens each configured URL, Wait for Page Load and Sleep give dynamic pages time to settle, Wait for Element confirms the page body exists, Structured Export appends a row to CSV, and Loop Continue advances to the next input. For known preview sources, the export includes fallback metadata when a live page returns a title such as "Just a moment..." instead of useful source content.
AI answer context in a spreadsheet
Export the input query, AI response summary, source count, cited page title, URL, description, and website name for review in Excel, Sheets, or BI tools.
Editable source loop
Start with the bundled reference URLs, then add more source URLs to navigate.urls when you need a broader dataset.
Local desktop workflow
The browser session and CSV output stay on your machine unless you add your own upload, sync, or sharing step.
Built for changing pages
Fallback fields keep the CSV useful when a source page changes metadata or returns an access-check page.
Who this is for
Teams that monitor Google AI and source visibility
Content strategists
Citation research
Favorable to scraping
Review titles, descriptions, and source websites behind AI answers before planning updates to guides, explainers, or pillar pages.
Market researchers
Topic mapping
Favorable to scraping
Collect source URLs for a query, deduplicate websites, and pass promising pages into follow-up extractors from the UScraper template library.
Use it alongside the Google News Scraper for publisher monitoring and the Google Trends Scraper for demand checks before turning AI source exports into a reporting workflow.
How to use
Run the Google AI Mode scraper workflow
1
Download and import
Download the hosted JSON template, import it into UScraper, and open the workflow graph.
2
Review the source URLs
The bundled Navigate block starts with three reference URLs for the query "web scraping." Replace or extend that list with source pages from your own approved AI Mode review.
3
Confirm the export path
Structured Export writes google-ai-mode-scraper.csv with headers and append mode. Change the save folder before running client, topic, or campaign batches.
4
Run the loop
UScraper navigates, waits for load, pauses briefly, confirms body is visible, exports one structured row, and continues to the next URL.
5
Open the CSV
Check the source count, scan titles and descriptions, and flag any fallback rows before using the file in analysis or reporting.
Automation path inside the template
- 1
Navigate
Open each configured reference/source URL in sequence.
- 2
Wait and settle
Wait for page load, pause for dynamic content, then confirm the page body is present.
- 3
Structured export
Append input, AI response, source count, title, URL, description, and website name into one CSV.
- 4
Loop continue
Advance through the remaining source URLs until the list is complete.
Output preview
CSV columns produced by the template
The sample rows below mirror the bundled workflow definition. The ai_response value is the summary captured from the preview, while each source row records the page metadata available from the live page or the fallback map.
| input | ai_response | index_count | title | title_url | description | website_name |
|---|---|---|---|---|---|---|
| web scraping | Web scraping explained: extracting data from the internet. | 19 sites | What is Web Scraping? A Complete Guide - Fortra's Automate | https://automate.fortra.com/resources/guides/what-is-web-scraping | Guide explaining web scraping, screen scraping, use cases, and best practices. | Fortra |
| web scraping | Web scraping explained: extracting data from the internet. | 19 sites | What is Web Scraping? How to Scrape Data from Website ? - Zyte | https://www.zyte.com/learn/what-is-web-scraping/ | Overview of automatic extraction from public websites into structured formats. | Zyte |
| web scraping | Web scraping explained: extracting data from the internet. | 19 sites | Web scraping - Wikipedia | https://en.wikipedia.org/wiki/Web_scraping | Definition of web scraping, web harvesting, and web data extraction. | Wikipedia |
google-ai-mode-scraper.csvColumn
input
The query associated with the AI Mode preview, such as web scraping.
Column
ai_response
The AI answer summary captured for the topic.
Column
index_count
The source count label from the preview, such as 19 sites.
Column
title
The source page title, with fallback metadata for blocked pages.
Column
title_url
The current source URL opened by Navigate.
Column
description
Meta description, Open Graph description, or known fallback summary.
Column
website_name
A normalized source name such as Fortra, Zyte, or Wikipedia.
Headers included - each configured source URL appends a row
Frequently asked questions
Automating Google AI Mode or its referenced sources can conflict with Google terms, source-site terms, robots rules, copyright, privacy rules, or local law. Use small research batches, do not bypass access controls or verification challenges, and get legal review before commercial reuse.
Before you run
Practical limits and maintenance notes
Guardrails for reliable AI source exports
Rate limits
Google and source sites may slow or block automation
Keep batches modest, avoid parallel loops, and treat verification or access-check pages as a stop signal for unattended collection.
Layout changes
AI Mode and source metadata can change
Empty titles, repeated fallback descriptions, or unexpected website names usually mean a source page changed, blocked automation, or needs a refreshed fallback entry.
Policy
Use source exports responsibly
Review Google policies, source-site terms, robots guidance, client contracts, and local rules before republishing AI summaries or building commercial datasets.
Download the JSON template from this page, install the desktop app from uscraper.io/download, and use this workflow when you need to export Google AI Mode source research into a reviewable local CSV.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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