# Thunderbit

| **Thunderbit**   | Quick Overvi**ew**                                                                               |
| ---------------- | ------------------------------------------------------------------------------------------------ |
| URL              | <https://thunderbit.com/>                                                                        |
| What it does     | AI-driven web scraper that turns websites into structured data in seconds with no coding needed. |
| How to use it    | Install and add to the browser, then get started.                                                |
| Cost             | Partially Free.                                                                                  |
| Account required | Yes.                                                                                             |
| Cookies          | A mix of essential functionality and third-party tracking cookies.                               |
| Ownership        | Owned and founded by Shuai Guan, San Francisco.                                                  |
| Use in Reporting | Great for gathering bulk web data quickly, but requires verification before publication.         |

### What does Thunderbit do?

Thunderbit is a next-gen AI scraping tool that lets you extract data from websites without writing code. It uses AI to identify patterns (like listings, tables, or profiles) and automatically structures the data into formats like spreadsheets. Think of it as “point-and-click scraping” powered by machine learning.

**The lowdown:** It’s a fast, beginner-friendly AI scraper that removes the technical barrier to web data extraction.

### How to Use:

**1. Install the browser extension or access the platform.**

**2. Open the target webpage and let Thunderbit detect extractable data.**

<figure><img src="https://2429831402-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3YeRsjw1gI6xxIP4cuOd%2Fuploads%2FUqYvMgBjLZcHUgnDaCah%2Funknown.png?alt=media&#x26;token=4c82f3fb-5a48-45d9-b971-9cdfbea24bd6" alt=""><figcaption></figcaption></figure>

**3. Select fields or use AI auto-detection, then export to CSV, Excel, or database.**

<figure><img src="https://2429831402-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3YeRsjw1gI6xxIP4cuOd%2Fuploads%2F7mRwgXEJyiTvjuQY0rJI%2Funknown.png?alt=media&#x26;token=3d6f45c8-80b3-48a2-a4d6-c407aabd0f8e" alt=""><figcaption></figcaption></figure>

**See it in action** [**here.**](https://x.com/osintnewsletter/status/2031762079510929723)

### Cost

* [ ] Free
* [x] Partially Free
* [ ] Paid

Limited free use with paid subscription tiers.

## Data Processing

### Account Required:

* [x] Yes
* [ ] No

### Cookies:

Thunderbit primarily uses a secure session cookie to manage login and user activity, while additional Microsoft/Bing cookies enable analytics, preferences, and cross-site tracking. Overall, it’s a mix of essential functionality and third-party tracking cookies.&#x20;

### Use in Reporting

Thunderbit fits best in investigations where you need structured data fast from messy websites, especially when manual copy-paste would be slow or inconsistent.&#x20;

This could include:&#x20;

* **Company & network mapping** – scraping directories to link people, companies, and addresses.
* **Marketplace monitoring** – tracking listings, sellers, and pricing patterns.
* **Public records collection** – pulling data from gov sites, courts, and tenders.
* **Social media scraping (basic)** – gathering visible profiles & engagement data.
* **Asset tracking** – extracting property listings, prices, and ownership clues.
* **Event & network mapping** – collecting attendee/speaker lists.
* **Dataset building** – turning messy web pages into clean, analysable spreadsheets.

| **Capabilities**                                            | **Limitations**                                             |
| ----------------------------------------------------------- | ----------------------------------------------------------- |
| AI-powered field detection (auto-identifies data points).   | Accuracy depends on page structure and AI interpretation.   |
| No-code scraping interface.                                 | May struggle with highly complex or anti-scraping websites. |
| Handles dynamic/modern websites better than basic scrapers. | Limited transparency on how AI selects fields.              |
| Easy, browser-based workflow.                               | Requires login for full functionality.                      |
| Export to structured formats (CSV, Excel).                  | Paid tiers needed for scale.                                |

### Summary

Thunderbit is best used in the OSINT workflow to quickly extract and structure large amounts of web data into usable datasets, after sources are identified but before analysis and verification. Ultimately, it’s best used as a data collection accelerator, not a standalone investigation tool, and data should always be verified as AI extraction can mislabel fields.

### Ownership

Thunderbit (specifically Thunderbit, Inc.) is owned and was founded in 2023 by [Shuai Guan](https://www.linkedin.com/in/shuaiguan/), based in San Francisco.

### Ethical Considerations

* Respect website terms of service and legal restrictions.
* Avoid scraping personal or sensitive data without justification.
* Be mindful of rate limits and server impact.
* Ensure compliance with data protection laws.

### Related Tools:

* Octoparse
* ParseHub
* Apify
* Import.io

#### Sources

<https://thunderbit.com/>&#x20;

<https://www.linkedin.com/in/shuaiguan/>&#x20;

<https://x.com/osintnewsletter/status/2031762079510929723>&#x20;

<https://www.linkedin.com/pulse/comprehensive-trustability-analysis-thunderbit-inc-its-faenzi-lyxhf/>&#x20;


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