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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

Web scraper, powered by AI! Collect structured data from web pages in just a few clicks! What's new šŸ”¹Simplified data collection…
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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
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Introduction

AIScraper is an AI-powered web scraping tool designed to simplify the process of collecting structured data from web pages. With its user-friendly interface and advanced AI technology, users can extract information effortlessly, making data collection accessible to both technical and non-technical users alike.

Feature

Natural Language Data Collection Requests

Users can input their data collection requests using natural language, allowing the AI to analyze and locate relevant information on web pages.

Free Starter Credits

New users receive 10 free coins upon sign-up, enabling them to start scraping immediately without the need for an API key.

AI-Powered Data Extraction

The AI analyzes web pages and extracts relevant information based on user requests, streamlining the data collection process.

Real-Time Data Modification

Users can review and modify extracted data on the fly, ensuring accuracy and relevance of the collected information.

CSV Export

Collected data can be easily downloaded in CSV format for further analysis or integration with other tools.

AI Results Analysis

The tool provides AI-powered analysis of scraped results, offering insights into the collected data.

User Account with Scraping History

Each user has an account that maintains a history of their scraping activities, allowing for easy reference and management of past projects.

FAQ

How do I use AIScraper?

AIScraper is designed for ease of use:

  1. Sign up for an account to receive 10 free coins
  2. Input your data collection request in natural language
  3. Let the AI analyze the web page and extract relevant information
  4. Review and modify the extracted data as needed
  5. Download the collected data in CSV format

Is AIScraper free to use?

AIScraper offers a free plan with 10 coins for new users. These coins can be used to collect data up to a certain limit. Additional coins can be purchased to extend usage limits.

Can I purchase additional coins?

Yes, AIScraper allows users to purchase additional coins to extend their usage limits beyond the initial free allocation.

What format can I download the collected data in?

The collected data can be downloaded in CSV (Comma-Separated Values) format, which is widely compatible with various data analysis tools and spreadsheet applications.

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