onemoretry

Import the Metaphor class from the metaphor_python package

from metaphor_python import Metaphor

Replace 'YOUR_API_KEY' with your actual Metaphor API key

api_key = 'c5965b9f-0024-4436-b438-8a6ce8da5452'

Create a Metaphor instance with your API key

metaphor = Metaphor(api_key)

Define your search query for product design roles by startups

query = "hiring product designers"

Set the minimum crawl date to filter results after September 30th, 2023

start_crawl_date = "2023-09-30T00:00:00Z"

Additional search options (if needed)

num_results, include_domains, etc.

Perform the search

search_response = metaphor.search( query=query, start_crawl_date=start_crawl_date, type="neural" # You can choose 'neural' for high-quality content )

Get the search results

results = search_response.results

Print the results

for result in results: print(f"Title: {result.title}") print(f"URL: {result.url}") print(f"Published Date: {result.published_date}") print("----------")

Optionally, you can also access the autoprompt string

autoprompt_string = search_response.autoprompt_string if autoprompt_string: print(f"Autoprompt String: {autoprompt_string}")