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.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llama_index_readers_zendesk-0.6.0.tar.gz.
File metadata
- Download URL: llama_index_readers_zendesk-0.6.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
acade07f8572a943d69670b47ab1e21d86fce7542fd920bd860bd8f7ab94686e
|
|
| MD5 |
0a36fd2ae64ae8c79779d506c9b5c15f
|
|
| BLAKE2b-256 |
8dd330994e85a566f4c40ec0fc606d83d092161ef06da5ae1ad5c553a9fdb999
|
File details
Details for the file llama_index_readers_zendesk-0.6.0-py3-none-any.whl.
File metadata
- Download URL: llama_index_readers_zendesk-0.6.0-py3-none-any.whl
- Upload date:
- Size: 3.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3db4758b870bab63fa28b724bf7f8adb6a1212d6b76a78467c9e057b578b496e
|
|
| MD5 |
465d4dd303dd653004c4a3bdfb442341
|
|
| BLAKE2b-256 |
e732548a9642bba4564fb49cf2a3dc48df1a9a8dc3176a482c35fa2732a31747
|
