realtime_websearch
4.0
realtime_websearch is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of realtime_websearch and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Aigeon AI Real-Time Web Search is a Python-based server application designed to provide real-time organic search results from across the web.
# Aigeon AI Real-Time Web Search
## Project Overview
Aigeon AI Real-Time Web Search is a Python-based server application designed to provide real-time organic search results from across the web. It leverages advanced search parameters and geo-targeting to simulate real user searches, offering support for various Google Search parameters and advanced search operators. This project is ideal for developers looking to integrate real-time search capabilities into their applications.
## Features Overview
- Real-time search results retrieval from the web.
- Support for Google Search parameters such as `gl`, `hl`, `tbs`, and more.
- City-level geo-targeting to simulate searches from specific locations.
- Integration of Google Advanced Search operators like `inurl:`, `site:`, and `intitle:`.
- Batch processing capability to handle up to 100 queries in a single request.
## Main Features and Functionality
### Real-Time Search
The application provides a tool to perform real-time searches using a variety of parameters to refine and target search results. It supports advanced search operators and allows for detailed customization of the search process, including language and region specifications.
### Batch Search
A lightning-fast endpoint is available for batch processing, enabling the submission of up to 100 queries in a single request. This feature is designed to efficiently handle large volumes of search requests, making it suitable for applications requiring high throughput.
## Main Functions Description
### `search`
This function retrieves real-time organic search results with support for various Google Search parameters and city-level geo-targeting. It allows for detailed customization of the search query through the following parameters:
- `q` (str): The search query.
- `num` (int|float, optional): Maximum number of results to return.
- `start` (int|float, optional): Number of results to skip for pagination.
- `gl` (str, optional): The country/region for the query.
- `hl` (str, optional): The language for the search.
- `tbs` (str, optional): Advanced search parameters.
- `location` (str, optional): The origin location of the search, recommended at the city level.
- `nfpr` (str, optional): Exclude or include results of auto-corrected queries.
### `batch_search`
This function provides a high-performance endpoint for retrieving organic search results in real-time, supporting up to 100 queries in a single request. It is designed for applications that require processing multiple search queries efficiently.
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This project is a robust solution for integrating real-time web search capabilities into applications, offering flexibility and efficiency through its advanced features and functionalities.