🛠 How It Works
- Click Try it! to open the Google AI Overview Scraper & Tracker.
- Enter the keywords or queries you want to monitor, one per line.
- Choose the language and region for your target market.
- Click Start and select a run mode. Octoparse will run each search and collect available AI Overview content, citations, and organic results.
- Export the data to Excel, CSV, or JSON for analysis and reporting.
💡 Tips
- Use scheduled cloud runs to build a historical Google AI Overview tracking dataset.
- Run smaller batches when testing a new keyword set or target region.
- Combine it with other GEO tracking templates, such as the Google AI Mode Scraper and ChatGPT AI Response Scraper, to get an overall view of your brand’s AI visibility.
Data Preview
Search Query | Region | AI Response | Index_Total | Title | Title_URL | Description | Website_Name |
how to make a crawler | US | To build a simple web crawler, you need a URL queue, a set for visited links, and a script to fetch and parse pages. Use Python with the library to download pages and to find new links. Key Steps to Code a Crawler Define seed URLs: Pick the first web pages where your crawler will start. Manage queues and sets: Keep a queue of URLs to visit next and a separate set of already visited links so you do not repeat pages or loop infinitely. Fetch the content: Send an HTTP GET request to download the raw HTML of the current web page. Parse for links and data: Read the HTML to extract the text you need and find all tags containing new hyperlinks. Be polite: Add a short time delay (sleep) between requests and check the site's file so you do not overload the target server. If you'd like, let me know: Are you trying to build a software web crawler or an RC rock crawler vehicle? What programming language or scale size do you want to use? I can give you more exact code or parts lists. | 5 | Crawler architecture - Stanford NLP... | https://nlp.stanford.edu/IR-book/html/htmledition/crawler-architecture-1.html | Stanford NLP Group | |
how to make a crawler | US | To build a simple web crawler, you need a URL queue, a set for visited links, and a script to fetch and parse pages. Use Python with the library to download pages and to find new links. Key Steps to Code a Crawler Define seed URLs: Pick the first web pages where your crawler will start. Manage queues and sets: Keep a queue of URLs to visit next and a separate set of already visited links so you do not repeat pages or loop infinitely. Fetch the content: Send an HTTP GET request to download the raw HTML of the current web page. Parse for links and data: Read the HTML to extract the text you need and find all tags containing new hyperlinks. Be polite: Add a short time delay (sleep) between requests and check the site's file so you do not overload the target server. If you'd like, let me know: Are you trying to build a software web crawler or an RC rock crawler vehicle? What programming language or scale size do you want to use? I can give you more exact code or parts lists. | 5 | From 0 to 1: how to build a web... | https://medium.com/@lena.li25/from-0-to-1-how-to-build-a-web-crawler-from-scratch-by-python-part-i-1deb4c39f832 | Medium | |
how to make a crawler | US | To build a simple web crawler, you need a URL queue, a set for visited links, and a script to fetch and parse pages. Use Python with the library to download pages and to find new links. Key Steps to Code a Crawler Define seed URLs: Pick the first web pages where your crawler will start. Manage queues and sets: Keep a queue of URLs to visit next and a separate set of already visited links so you do not repeat pages or loop infinitely. Fetch the content: Send an HTTP GET request to download the raw HTML of the current web page. Parse for links and data: Read the HTML to extract the text you need and find all tags containing new hyperlinks. Be polite: Add a short time delay (sleep) between requests and check the site's file so you do not overload the target server. If you'd like, let me know: Are you trying to build a software web crawler or an RC rock crawler vehicle? What programming language or scale size do you want to use? I can give you more exact code or parts lists. | 5 | How to Build a Web Crawler from... | https://iproyal.com/blog/how-to-build-a-web-crawler/ | IPRoyal.com | |
how to make a crawler | US | To build a simple web crawler, you need a URL queue, a set for visited links, and a script to fetch and parse pages. Use Python with the library to download pages and to find new links. Key Steps to Code a Crawler Define seed URLs: Pick the first web pages where your crawler will start. Manage queues and sets: Keep a queue of URLs to visit next and a separate set of already visited links so you do not repeat pages or loop infinitely. Fetch the content: Send an HTTP GET request to download the raw HTML of the current web page. Parse for links and data: Read the HTML to extract the text you need and find all tags containing new hyperlinks. Be polite: Add a short time delay (sleep) between requests and check the site's file so you do not overload the target server. If you'd like, let me know: Are you trying to build a software web crawler or an RC rock crawler vehicle? What programming language or scale size do you want to use? I can give you more exact code or parts lists. | 5 | 3 Easy Methods to Build a Web Crawler... | https://www.octoparse.com/blog/how-to-build-a-web-crawler-from-scratch-a-guide-for-beginners | Octoparse | |
how to make a crawler | US | To build a simple web crawler, you need a URL queue, a set for visited links, and a script to fetch and parse pages. Use Python with the library to download pages and to find new links. Key Steps to Code a Crawler Define seed URLs: Pick the first web pages where your crawler will start. Manage queues and sets: Keep a queue of URLs to visit next and a separate set of already visited links so you do not repeat pages or loop infinitely. Fetch the content: Send an HTTP GET request to download the raw HTML of the current web page. Parse for links and data: Read the HTML to extract the text you need and find all tags containing new hyperlinks. Be polite: Add a short time delay (sleep) between requests and check the site's file so you do not overload the target server. If you'd like, let me know: Are you trying to build a software web crawler or an RC rock crawler vehicle? What programming language or scale size do you want to use? I can give you more exact code or parts lists. | 5 | How to build a web crawler in Python... | https://www.proxy-cheap.com/blog/how-to-build-a-web-crawler | Proxy-Cheap | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | Best Data Analytics Courses &... | https://www.coursera.org/courses?query=data%20analytics | Coursera | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | I Tried 50 Data Analyst Courses. Here... | https://www.youtube.com/watch?v=Yy7c4Up9ZnM&vl=en | YouTube | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | Training for Data Analysts |... | https://learn.microsoft.com/en-us/training/career-paths/data-analyst | Microsoft Learn | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | Best Data Analysis Courses &... | https://www.coursera.org/courses?query=data%20analysis&skills=Data%20Analysis | Coursera | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | Free Data Analysis Courses &... | https://www.coursera.org/courses?query=free&skills=Data%20Analysis | Coursera | |
data analytics courses | US | Top data analytics courses include the Google Data Analytics Professional Certificate on Coursera, Microsoft Power BI Data Analyst training, and the IBM Data Analyst program. These options teach core skills like SQL, Excel, and visualization tools. Popular Beginner Programs Google Data Analytics: Covers R, SQL, Tableau, and data cleaning basics. IBM Data Analyst: Focuses on Excel, Python, and SQL fundamentals. Microsoft PL-300 Prep: Trains users on Power BI dashboards and data modeling. Core Skills to Learn Excel: For data organization and simple calculations. SQL: For pulling data from large databases. Visualization: Using tools like Tableau or Power BI to present findings. If you want to narrow this down, tell me: Are you looking for free or paid courses? Do you prefer a specific tool (like Excel, SQL, or Python) to start with? | 7 | Data Analytics Course - Ed2Go | https://www.ed2go.com/courses/computer-science/data-science/ctp/data-analytics-course | Ed2Go |
Google does not generate an AI Overview for every search query. When no AI Overview is triggered, the relevant AI Overview fields may show “AI Overview not available,” while available organic search results are still collected.
📌Use This Google AIO Scraper to Track Your GEO Visibility
Extract Complete Google AI Overviews
Automatically collect the AI-generated answers displayed in Google Search. Save time spent manually searching, expanding AI Overviews, copying answers, and recording sources.
Analyze Google AI Overview Citations
Extract cited page titles, URLs, domains, and source information. Discover which websites Google trusts and uses to generate answers for your target topics.
Track Google AI Overview Mentions
Monitor whether your brand, products, website, or competitors are mentioned across a list of strategic search queries.
Monitor Brand Visibility in AI Search
Build a structured dataset to measure where your brand appears, which competitors receive more visibility, and which topics create the strongest opportunities.
Track Visibility Changes Over Time
Run the same keyword set regularly to monitor changes in AI Overview availability, answer content, brand mentions, competitors, and cited sources.
Scale Your GEO Research
Turn Google AI Overview data into a repeatable Generative Engine Optimization workflow for AI visibility tracking, citation analysis, competitive research, and content optimization.
⚠️ Important Notes Before You Start
- Google AI Overviews are not available for every search query.
- Results may vary by location, language, device, time, and Google account status.
- AI Overview answers and cited sources may change between searches.
- Some AI Overviews load dynamically and may require additional processing time.
- Large keyword batches may take longer to complete or trigger Google’s anti-bot checks.
- Use this template responsibly and comply with applicable laws and Google’s Terms of Service.
❓ FAQs
1. What is a Google AI Overview?
A Google AI Overview is an AI-generated answer that may appear above traditional organic search results. It summarizes information from multiple sources and usually provides links for users to explore the topic further.
2. Does every Google search return an AI Overview?
No. Google decides whether to generate an AI Overview based on the query, language, location, search context, and other factors.
3. What is the difference between a Google AI Overview scraper and a traditional SERP scraper?
A traditional Google SERP scraper mainly collects organic rankings, titles, descriptions, and URLs. This template is specifically designed to extract the AI-generated answer and its cited sources, enabling AI visibility and citation tracking.
4. Can I use this template as a Google AI Overview tracker?
Yes. Simply save the task and schedule runs to monitor changes in AI Overviews.
5. Can I track brand mentions in Google AI Overviews?
The template collects the complete AI Overview answer, which you can use to identify and analyze mentions of your brand, products, and competitors. Export this data to Excel or an AI tool for further analysis.
6. Can I track citations in Google AI Overviews?
Yes. The template extracts available source titles, URLs, and domains, allowing you to analyze which websites Google AI cites across your target keywords.
7. Do I need a Google API key to track Google AI Overviews?
No. Octoparse simulates browser-based searches and does not require a Google API key.
8. Can I track results from different regions?
Of course. AI Overview results vary by region. You can easily select the language and target region to compare how AI Overviews, brand mentions, and citations vary across markets.
9. What is the difference between this Google AI Overview Scraper and the Google AI Mode Scraper?
Google AI Overviews appear within standard Google search results, while Google AI Mode is a separate, conversational search experience. Use the corresponding scraper based on where you want to track AI answers and citations.
10. Can I use the data for Generative Engine Optimization?
Yes. This is one of the main reasons we developed this template. The extracted data can support GEO research by showing whether your brand appears in AI answers, which competitors are mentioned, which sources are cited, and how these results change over time.
🔗 Related Templates
- Google SERP scraper (Top 5 results) — Use Google SERP scraper (Top 5 results) for a complementary workflow on the same source site.
- Google Job Scraper (by Keywords) — Use Google Job Scraper (by Keywords) for a complementary workflow on the same source site.
- Google Local Service Scraper (by URL) — Use Google Local Service Scraper (by URL) for a complementary workflow on the same source site.