This revision is from 2024/08/07 16:42. You can Restore it.

Command:

wget -qO- "http://localhost/searxng/search?q=test&category_general=&language=auto&time_range=&safesearch=0&theme=simple"
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curl "http://localhost/searxng/search?q=test&category_general=&language=auto&time_range=&safesearch=0&theme=simple"
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Build the cache from the keyword dataset

import json
import subprocess

# Path to dataset JSON file
json_file_path = 'path_to_your_json_file.json'

# Read the JSON file
with open(json_file_path, 'r') as file:
    data = json.load(file)

# Iterate through the JSON data to extract keywords
for item in data:
    keyword = item['keyphrase']
    
    # Construct the wget command
    wget_command = f'wget -qO- "http://localhost/searxng/search?q={keyword}&category_general=&language=auto&time_range=&safesearch=0&theme=simple"'
    
    # Execute the wget command
    subprocess.run(wget_command, shell=True)
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Keyword Datasets

1. https://www.kaggle.com/datasets/hofesiy/2019-search-engine-keywords

Running this list produces new keyword suggestions right from searx, extract suggestions...

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