Load Zendesk help articles into LlamaIndex
Zendesk Loader fetches text from Zendesk help articles via API and parses HTML to load documentation into LlamaIndex.
Why it matters
Extract and load help article content from Zendesk into LlamaIndex for indexing and retrieval. This enables users to build RAG applications and search systems on top of their Zendesk knowledge base without requiring authentication.
Outcomes
What it gets done
Fetch help articles from Zendesk API using subdomain
Parse HTML content with BeautifulSoup to extract clean text
Configure locale settings for multi-language article retrieval
Transform articles into LlamaIndex document format for indexing
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/li-reader-readers-zendesk | bash Overview
Zendesk Loader
Zendesk Loader is a LlamaIndex data reader that fetches text content from Zendesk help articles using the Zendesk API. It parses HTML with BeautifulSoup to extract clean text and converts articles into LlamaIndex document objects. Use Zendesk Loader when you need to load text content from Zendesk help articles into LlamaIndex. It is designed to be used as a way to load data into LlamaIndex.
What it does
Zendesk Loader extracts text content from Zendesk help articles using the Zendesk API and loads it into LlamaIndex. It uses BeautifulSoup to parse HTML and extract clean text from articles.
Inputs and outputs
You provide a Zendesk subdomain (the unique identifier for your Zendesk account) and optionally specify a locale for language-specific articles. The loader returns LlamaIndex document objects containing the extracted text content from your help articles.
Integrations
This loader integrates directly with LlamaIndex as a data reader component. It connects to the Zendesk API to fetch article content and uses BeautifulSoup for HTML parsing.
Installation and usage
Install the package:
pip install llama-index-readers-zendesk
Load your Zendesk articles:
from llama_index.readers.zendesk import ZendeskReader
loader = ZendeskReader(zendesk_subdomain="my_subdomain", locale="en-us")
documents = loader.load_data()
Who it's for
Zendesk Loader is built for developers and data engineers who need to load Zendesk help article content into LlamaIndex.
Source README
Zendesk Loader
pip install llama-index-readers-zendesk
This loader fetches the text from Zendesk help articles using the Zendesk API. It also uses the BeautifulSoup library to parse the HTML and extract the text from the articles.
Usage
To use this loader, you need to pass in the subdomain of a Zendesk account. No authentication is required. You can also set the locale of articles as needed.
from llama_index.readers.zendesk import ZendeskReader
loader = ZendeskReader(zendesk_subdomain="my_subdomain", locale="en-us")
documents = loader.load_data()
This loader is designed to be used as a way to load data into LlamaIndex.
Discussion
Questions & comments · 0
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