{
  "query": {
    "match": {
      "field_name": "search_term"
    }
  }
}

{
  "query": {
    "bool": {
      "must": [
        { "match": { "field1": "value1" } },
        { "match": { "field2": "value2" } }
      ],
      "filter": [
        { "range": { "timestamp": { "gte": "now-1d/d" } } }
      ]
    }
  }
}

{
  "size": 0,
  "aggs": {
    "group_by_field": {
      "terms": {
        "field": "category.keyword",
        "size": 10
      }
    }
  }
}

from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search

client = Elasticsearch(['http://localhost:9200'])

s = Search(using=client, index="your_index") \
    .query("match", title="python") \
    .filter("range", date={"gte": "2023-01-01"}) \
    .aggregations.bucket("per_category", "terms", field="category.keyword")

response = s.execute()

for hit in response:
    print(hit.title)

for category in response.aggregations.per_category.buckets:
    print(f"{category.key}: {category.doc_count}")

curl -X POST "http://localhost:9200/your_index/_search" -H 'Content-Type: application/json' -d'
{
  "query": {
    "bool": {
      "must": [
        { "match": { "title": "search term" } }
      ],
      "filter": [
        { "term": { "status": "published" } }
      ]
    }
  },
  "aggs": {
    "popular_tags": {
      "terms": { "field": "tags.keyword" }
    }
  }
}
'