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return jsonify(response["hits"]["hits"])
data = [] for source in sources: response = requests.get(source) soup = BeautifulSoup(response.content, 'html.parser') # Extract relevant data data.append({ "title": soup.find("title").text, "description": soup.find("description").text })
def update_index(data): es = Elasticsearch() for item in data: es.index(index="megamind-index", body=item) The search interface will be implemented using a web application framework (e.g., Flask) and will provide a simple search form for users to find Megamind-related content.
def collect_data(): # Collect data from APIs and web scraping sources = [ "https://example.com/megamind-api", "https://example.com/megamind-web-page" ]
import requests from bs4 import BeautifulSoup
return jsonify(response["hits"]["hits"])
data = [] for source in sources: response = requests.get(source) soup = BeautifulSoup(response.content, 'html.parser') # Extract relevant data data.append({ "title": soup.find("title").text, "description": soup.find("description").text })
def update_index(data): es = Elasticsearch() for item in data: es.index(index="megamind-index", body=item) The search interface will be implemented using a web application framework (e.g., Flask) and will provide a simple search form for users to find Megamind-related content.
def collect_data(): # Collect data from APIs and web scraping sources = [ "https://example.com/megamind-api", "https://example.com/megamind-web-page" ]
import requests from bs4 import BeautifulSoup
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