ChatTuesday.com is a platform that enables users to create personalized chatbots similar to ChatGPT, integrated with their own data. It transforms user data into an advanced Generative AI digital assistant, which can be embedded on websites or utilized through integrations and API. This platform offers comprehensive features for customization, multiple bot creation, and multi-language support.
ChatTuesday.com - Customized Data. Empower with Gen-AI Platform
Unlock the full power of a custom-made chatbot, just like ChatGPT, perfectly combined with your unique information.
Introduction
Feature
Customized Data Integration
- Combine PDF, Dropbox, Typeform, and website data
- Simple integration process: link data sources, upload files, or include website for crawling
Flexible Bot Configuration
- Customize each bot with different models and roles
- Create multiple bots for various use cases
- Configure digital assistants for specific roles (e.g., sales agent, customer service)
Multilingual Support
- Pre-built translation modules for different languages
Lead Generation
- Capture leads and acquire customer data
- Deliver tailored experiences to potential clients
Easy Installation and Use
- Install "Chat Tuesday Redirect" Chrome extension
- Click extension icon in browser toolbar
- Access personalized dashboard or relevant pages based on subscription status
Pricing
- Affordable subscription plan available
- Detailed pricing information on the ChatTuesday.com website
FAQ
What is the purpose of the "Chat Tuesday Redirect" extension?
The extension enhances the Chat Tuesday experience by providing seamless redirection based on the user's browsing context and subscription status.
How do I benefit from plan-based redirection?
To benefit from plan-based redirection, ensure you are logged into Chat Tuesday and have an active subscription. This allows for personalized access to your dashboard or relevant pages.
What are some helpful tips for using ChatTuesday.com?
- Customize your chatbot to align with your brand's needs
- Utilize the lead generation feature to capture leads and acquire customer data
- Integrate the chatbot with your website for a seamless user experience
Latest Traffic Insights
Monthly Visits
290.25 M
Bounce Rate
55.49%
Pages Per Visit
2.84
Time on Site(s)
113.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.68%
- Paid Referrals:0.54%
- Email:0.11%
- Referrals:14.58%
- Search Engines:15.20%
- Direct:68.89%
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![AIScraper
This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API.
Features:
* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.
Installation:
```bash
pip install aiscraper
```
Usage:
```python
from aiscraper import AIScraper
Create an instance of the AIScraper class
scraper = AIScraper()
Perform a search for "laptops"
results = scraper.search("laptops")
Print the product titles
for result in results:
print(result["title"])
```
Documentation:
https://github.com/aiscraper/aiscraper](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-aiscraper-mfjniiodgjhlmleaakofgijfccdgppbc-thumbnail-1720072105.png "AIScraper
This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API.
Features:
* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.
Installation:
```bash
pip install aiscraper
```
Usage:
```python
from aiscraper import AIScraper
Create an instance of the AIScraper class
scraper = AIScraper()
Perform a search for \"laptops\"
results = scraper.search(\"laptops\")
Print the product titles
for result in results:
print(result[\"title\"])
```
Documentation:
https://github.com/aiscraper/aiscraper")
AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper
AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraperWeb scraper, powered by AI! Collect structured data from web pages in just a few clicks! What's new 🔹Simplified data collection…
290.25 M
