parsera

A lightweight Python library for web scraping using large language models.

CommonProductProgrammingPythonData Scraping

Parsera is a lightweight Python library specifically designed to simplify the process of web data scraping in conjunction with large language models (LLMs). It enhances speed and reduces costs by using minimal tokens, making data scraping more efficient and economical. Parsera supports multiple chat models and allows users to customize their experience with various models, such as those from OpenAI or Azure.

Supports multiple large language models for web data scraping.
Offers asynchronous operation methods to enhance data processing efficiency.
Allows users to customize scraping elements for flexible task configuration.
Supports environment variable setup for easy integration into different development environments.
Provides comprehensive documentation and sample code for users to learn and utilize.
Compatible with Jupyter Notebook
facilitating data analysis for data scientists and researchers.

The primary audience includes data scientists
researchers
and developers who need to scrape data from websites. Due to Parsera's lightweight nature and support for large language models
it is particularly suited for users requiring efficient and cost-effective data scraping.

Use Parsera to scrape news headlines
likes
and comments from news websites.
Integrate Parsera into data analysis projects to automatically scrape and analyze website data.
Employ Parsera to collect data from specific domain-related websites for further research analysis.

1. Install the Parsera library.
2. Set up necessary environment variables
such as `OPENAI_API_KEY`.
3. Define the target website URL and the elements to scrape.
4. Create an instance of Parsera and specify the model to use.

Visit

parsera Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

parsera Visit Trend

parsera Visit Geography

parsera Traffic Sources

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