> ## Documentation Index > Fetch the complete documentation index at: https://docs.platform.statista.ai/llms.txt > Use this file to discover all available pages before exploring further. # Intranets and Federated Search > Using Statista's Discovery Advanced API to search for content Statista does not allow for crawling systematically across our data. If you attempt to do so; we will disable your API key. In the case where you want to show Statista content to your users based on a search query in a federated search system or intranet; this guide is for you. This guide will use the **Discovery Advanced API** and requires an **API Key**. Using Python, you'll learn how to: 1. Configure variables needed for HTTP client 2. Execute an API query 3. Render information returned back by the Statista API ### 1. Configure variables needed for HTTP client You'll connect to the API using a request header: `x-api-key`. In order to fetch content, you'll need to decide which endpoint you want to request from; `/statistics`, `/marketInsights`, `/studies` or `/infographics`. See API Reference.{" "} For this example we'll fetch content from `/statistics` with two parameters. ```python theme={null} import requests import json import pprint base_url = "https://api.statista.ai/v1/statistics" # Alternate between endpoints as needed headers = {"x-api-key": ""} params = {"q": "basketball", "limit": "5"} # Using the URL parameters available on the API. See API Reference. ``` This is the basic setup you'll need to get this example running on your machine - we don't recommend using this code in production. ### 2. Execute an API query Next, we can execute a request and get a response from the API. ```python theme={null} response = requests.get(base_url, headers=headers, params=params) # Fetch data print(response.status_code) # Check if request was successful data = json.loads(response.text) # Load raw data as JSON pprint.pp(data) ``` ### 3. Render information returned back by the Statista API While you can do this in a multitude of ways; we'll show an example for putting the received data into a pandas data frame - and show you what that looks like: ```python theme={null} import pandas as pd df = pd.json_normalize(data['items']) pprint.pp(df) ``` Which yields a structured table: | Index | ID | Title | Subject | Premium | Description | Link | Date | Sources | Chargers | Geolocations | Industries | Platform | Teaser Image URL | Image URL | XLS File | PDF File | | ----- | ------ | -------------------------------------------------------- | ------------------------------------------------------------------ | ------- | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ | -------------------- | --------------------------------------------- | --------------------------------------------- | ------------- | ---------- | -------- | ----------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------- | | 0 | 910248 | South Korea: total WKBL basketball games attendance 2023 | Total number of spectators in the Women's Korean Basketball League | True | In 2023 in South Korea, over 93 thousand people attended... | [Link](https://www.statista.com/statistics/910248/south-korea-total-wkbl-basketball-games-attendance/) | 2024-08-26T12:00:00Z | Ministry of Culture, Sports and Tourism (MOT) | Ministry of Culture, Sports and Tourism (MOT) | Korea, South | Basketball | en | [Image](https://cdn.statcdn.com/Statistic/910248.jpg) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ4OQ==/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ4OQ==/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ4OQ==/) | | 1 | 910245 | South Korea: total KBL attendance 2023 | Total number of spectators in the Korean Basketball League | True | In 2023, around 690 thousand people attended... | [Link](https://www.statista.com/statistics/910245/south-korea-total-kbl-attendance/) | 2024-08-26T12:00:00Z | Ministry of Culture, Sports and Tourism (MOT) | Ministry of Culture, Sports and Tourism (MOT) | Korea, South | Basketball | en | [Image](https://cdn.statcdn.com/Statistic/910245.jpg) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ1OQ==/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ1OQ==/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMjQ1OQ==/) | | 2 | 193467 | Total NBA league revenue 2024 | National Basketball Association total league revenue | True | During the 2023/24 season, the 30 franchise teams in the NBA generated... | [Link](https://www.statista.com/statistics/193467/total-nba-league-revenue/) | 2024-10-24T12:00:00Z | Forbes | Forbes | United States | Basketball | en | [Image](https://cdn.statcdn.com/Statistic/193467.jpg) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNDY3/) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNDY3/) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNDY3/) | | 3 | 910300 | South Korea: KBL games number 2023 | Number of matches in the Korean Basketball League | True | In South Korea in 2023, there were a total of 54 games in the... | [Link](https://www.statista.com/statistics/910300/south-korea-kbl-games-number/) | 2024-08-26T12:00:00Z | Ministry of Culture, Sports and Tourism (MOT) | Ministry of Culture, Sports and Tourism (MOT) | Korea, South | Basketball | en | [Image](https://cdn.statcdn.com/Statistic/910300.jpg) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMzAw/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMzAw/) | [Download](https://www.statista.com/download/MCMjMCMjOTEwMzAw/) | | 4 | 193503 | Average revenue of NBA teams 2024 | National Basketball Association average revenue by team | True | During the 2023/24 season, the average revenue for NBA teams reached approximately... | [Link](https://www.statista.com/statistics/193503/nba-team-average-revenue/) | 2024-10-24T12:00:00Z | Statista | Forbes, Statista | United States | Basketball | en | [Image](https://cdn.statcdn.com/Statistic/193503.jpg) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNTAz/) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNTAz/) | [Download](https://www.statista.com/download/MCMjMCMjMTkzNTAz/) | (See API Reference for more info on what data is available)