The Quora Scraper is a sophisticated tool designed to extract and organize content from one of the world's leading question-and-answer platforms. This powerful scraper offers an efficient method to collect questions, answers, user data, and engagement metrics, providing valuable insights for various industries and applications.
Data Point | Description | Example |
---|---|---|
Question Information | Details about the question | Title, URL, total answers |
Answer Content | Full text of the answer | Detailed response to the question |
Author Data | Profile information | Name, join date, about section |
Engagement Metrics | Interaction data | Upvotes, shares, view count |
Comments | User feedback | Comment text, author, date |
Media Content | Associated visuals | URLs to images or videos |
Temporal Data | Time-related information | Post date, comment dates |
The Quora Scraper is a valuable asset for various sectors, including:
The Quora Scraper API allows you to extract post information from Quora.com. This tool enables developers to integrate Quora content into their applications for knowledge sharing, Q&A analysis, and more.
To use the Quora Scraper API, you'll need to authenticate your requests using your API key. The API provides an endpoint for retrieving post information:
Include your API key in the request headers:
Authorization: Bearer YOUR_API_KEY
The request body should be a JSON object with the following structure:
{
"url": "https://www.quora.com/post-url"
}
Please note that usage is subject to rate limiting. Refer to your plan details for specific limits.
import requests
import json
# Your API Key
api_key = 'YOUR_API_KEY'
# API Endpoint for posts
url = 'https://taskagi.net/api/social-media/quora-scraper/posts'
# Headers
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
# Request Body
data = {
'url': 'https://www.quora.com/example-post-url'
}
# Send POST request
response = requests.post(url, headers=headers, json=data)
# Check if the request was successful
if response.status_code == 200:
# Parse the JSON response
post_data = response.json()
# Print the post information
print(json.dumps(post_data, indent=2))
else:
print(f"Error: {response.status_code}")
print(response.text)