---
title: Elasticsearch Python DSL
description: Elasticsearch DSL is a module of the official Python client that aims to help with writing and running queries against Elasticsearch in a more convenient...
url: https://www.elastic.co/elastic/docs-builder/docs/3016/reference/elasticsearch/clients/python/elasticsearch-dsl
products:
  - Elasticsearch
  - Elasticsearch Client
  - Elasticsearch Python Client
---

# Elasticsearch Python DSL
Elasticsearch DSL is a module of the official Python client that aims to help with writing and running queries against Elasticsearch in a more convenient and idiomatic way. It stays close to the Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the whole range of the DSL from Python either directly using defined classes or a queryset-like expressions. Here is an example:
<tab-set>
  <tab-item title="Standard Python">
    ```python
    from elasticsearch.dsl import Search
    from elasticsearch.dsl.query import Match, Term

    s = Search(index="my-index") \
        .query(Match("title", "python")) \
        .filter(Term("category", "search")) \
        .exclude(Match("description", "beta"))
    for hit in s:
        print(hit.title)
    ```
  </tab-item>

  <tab-item title="Async Python">
    ```python
    from elasticsearch.dsl import AsyncSearch
    from elasticsearch.dsl.query import Match, Term

    async def run_query():
        s = AsyncSearch(index="my-index") \
            .query(Match("title", "python")) \
            .filter(Term("category", "search")) \
            .exclude(Match("description", "beta"))
        async for hit in s:
            print(hit.title)
    ```
  </tab-item>
</tab-set>

It also provides an optional wrapper for working with documents as Python objects: defining mappings, retrieving and saving documents, wrapping the document data in user-defined classes.
For other Elasticsearch APIs such as cluster health, use the regular client.