Merge pull request #1384 from aparupganguly/feature/v3-extractor

Add examples/ Deepseek V3 Company Researcher
This commit is contained in:
Eric Ciarla 2025-03-28 08:55:29 -04:00 committed by GitHub
commit 830d15f2f6
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 384 additions and 0 deletions

View File

@ -0,0 +1,50 @@
# Environment variables
.env
.env.*
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg
# Virtual environments
venv/
ENV/
env/
# Editor files
.idea/
.vscode/
*.swp
*.swo
*~
# OS specific files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# Logs
*.log
logs/

View File

@ -0,0 +1,81 @@
# DeepSeek V3 Company Researcher
This tool is a powerful company research assistant that combines Google search, DeepSeek Chat V3, and Firecrawl to gather and analyze company information automatically.
## Features
- Automated Google search using SerpAPI
- Intelligent URL selection using DeepSeek Chat V3
- Structured data extraction using Firecrawl
- Real-time progress monitoring and colorized output
- Automated handling of rate limits and polling
## Prerequisites
- Python 3.7+
- API keys for:
- OpenRouter (for DeepSeek Chat V3 access)
- Firecrawl
- SerpAPI
## Setup
1. Clone the repository
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Create a `.env` file in the project root with your API keys:
```
OPENROUTER_API_KEY=your_openrouter_api_key
FIRECRAWL_API_KEY=your_firecrawl_api_key
SERP_API_KEY=your_serpapi_key
```
## Usage
Run the script:
```bash
python deepseek-v3-extract.py
```
Follow the interactive prompts to:
1. Enter the company name you want to research
2. Specify what information you want to gather about the company
The tool will:
- Search for relevant company information
- Select the most promising URLs
- Extract structured data from those URLs
- Present the findings in a clear, formatted output
## Output
The script provides real-time feedback with color-coded status messages:
- 🔵 Blue: User prompts
- 🟡 Yellow: Processing status
- 🟢 Green: Success messages
- 🔴 Red: Error messages
- 🟣 Magenta: Special notifications
- 🔅 Cyan: URL selections
## Error Handling
The script includes comprehensive error handling for:
- API failures
- Network issues
- Invalid responses
- Timeout scenarios
## License
MIT License
## Contributing
Feel free to open issues or submit pull requests with improvements.

View File

@ -0,0 +1,248 @@
import os
import json
import time
import requests
from dotenv import load_dotenv
from serpapi.google_search import GoogleSearch
from openai import OpenAI
# ANSI color codes
class Colors:
CYAN = '\033[96m'
YELLOW = '\033[93m'
GREEN = '\033[92m'
RED = '\033[91m'
MAGENTA = '\033[95m'
BLUE = '\033[94m'
RESET = '\033[0m'
# Load environment variables
load_dotenv()
# Initialize clients
openrouter_api_key = os.getenv("OPENROUTER_API_KEY")
firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")
serp_api_key = os.getenv("SERP_API_KEY")
if not openrouter_api_key:
print(f"{Colors.RED}Warning: OPENROUTER_API_KEY not found in environment variables{Colors.RESET}")
if not firecrawl_api_key:
print(f"{Colors.RED}Warning: FIRECRAWL_API_KEY not found in environment variables{Colors.RESET}")
if not serp_api_key:
print(f"{Colors.RED}Warning: SERP_API_KEY not found in environment variables{Colors.RESET}")
# Initialize OpenRouter client
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=openrouter_api_key
)
def clean_url(url):
"""Clean a URL by removing tracking parameters and unnecessary query strings."""
if not isinstance(url, str):
return None
# Remove any query parameters
base_url = url.split('?')[0]
# Remove trailing slashes and cleanup
cleaned = base_url.rstrip('/')
cleaned = cleaned.replace('/*', '')
# Ensure it's a valid http(s) URL
if not cleaned.startswith(('http://', 'https://')):
return None
return cleaned
def search_google(query):
"""Search Google using SerpAPI and return top results."""
print(f"{Colors.YELLOW}Searching Google for '{query}'...{Colors.RESET}")
search = GoogleSearch({"q": query, "api_key": serp_api_key})
return search.get_dict().get("organic_results", [])
def select_urls_with_claude(company, objective, serp_results):
"""
Use Claude 3.7 Sonnet to select URLs from SERP results.
Returns a list of URLs.
"""
try:
serp_data = [{"title": r.get("title"), "link": r.get("link"), "snippet": r.get("snippet")}
for r in serp_results if r.get("link")]
prompt = (
"Task: Select relevant URLs from search results.\n\n"
"Instructions:\n"
"1. Analyze the search results for information about the specified company\n"
"2. Select URLs that are most likely to contain the requested information\n"
"3. Return ONLY a JSON object with the following structure: {\"selected_urls\": [\"url1\", \"url2\"]}\n"
"4. Do not include social media links\n\n"
f"Company: {company}\n"
f"Information Needed: {objective}\n"
f"Search Results: {json.dumps(serp_data, indent=2)}\n\n"
"Response Format: {\"selected_urls\": [\"https://example.com\", \"https://example2.com\"]}"
)
# Using OpenRouter's API to select URLs
response = client.chat.completions.create(
model="deepseek/deepseek-chat-v3-0324:free",
messages=[{
"role": "system",
"content": "You are a URL selection assistant. Your task is to select relevant URLs from search results. You MUST return a valid JSON object containing at least one URL."
}, {
"role": "user",
"content": prompt
}]
)
result = response.choices[0].message.content.strip()
# Clean the response text
if result.startswith('```'):
result = result.split('```')[1]
if result.startswith('json'):
result = result[4:]
result = result.strip()
try:
# Parse JSON response
parsed_result = json.loads(result)
if isinstance(parsed_result, dict) and "selected_urls" in parsed_result:
urls = parsed_result["selected_urls"]
else:
# Fallback to text parsing
urls = [line.strip() for line in result.split('\n')
if line.strip().startswith(('http://', 'https://'))]
except json.JSONDecodeError:
# Fallback to text parsing
urls = [line.strip() for line in result.split('\n')
if line.strip().startswith(('http://', 'https://'))]
# Clean up URLs
cleaned_urls = [url.replace('/*', '').rstrip('/') for url in urls]
cleaned_urls = [url for url in cleaned_urls if url]
if not cleaned_urls:
print(f"{Colors.YELLOW}No valid URLs found in response.{Colors.RESET}")
return []
print(f"{Colors.CYAN}Selected URLs for extraction:{Colors.RESET}")
for url in cleaned_urls:
print(f"- {url}")
return cleaned_urls
except Exception as e:
print(f"{Colors.RED}Error selecting URLs: {str(e)}{Colors.RESET}")
return []
def extract_company_info(urls, prompt, company, api_key):
"""Use requests to call Firecrawl's extract endpoint with selected URLs."""
print(f"{Colors.YELLOW}Extracting structured data from the provided URLs using Firecrawl...{Colors.RESET}")
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {api_key}'
}
payload = {
"urls": urls,
"prompt": prompt + " for " + company,
"enableWebSearch": True
}
try:
response = requests.post(
"https://api.firecrawl.dev/v1/extract",
headers=headers,
json=payload,
timeout=30
)
data = response.json()
if not data.get('success'):
print(f"{Colors.RED}API returned error: {data.get('error', 'No error message')}{Colors.RESET}")
return None
extraction_id = data.get('id')
if not extraction_id:
print(f"{Colors.RED}No extraction ID found in response.{Colors.RESET}")
return None
return poll_firecrawl_result(extraction_id, api_key)
except requests.exceptions.RequestException as e:
print(f"{Colors.RED}Request failed: {e}{Colors.RESET}")
return None
except json.JSONDecodeError as e:
print(f"{Colors.RED}Failed to parse response: {e}{Colors.RESET}")
return None
except Exception as e:
print(f"{Colors.RED}Failed to extract data: {e}{Colors.RESET}")
return None
def poll_firecrawl_result(extraction_id, api_key, interval=10, max_attempts=60):
"""Poll Firecrawl API to get the extraction result."""
url = f"https://api.firecrawl.dev/v1/extract/{extraction_id}"
headers = {
'Authorization': f'Bearer {api_key}'
}
print(f"{Colors.YELLOW}Waiting for extraction to complete...{Colors.RESET}")
for attempt in range(1, max_attempts + 1):
try:
response = requests.get(url, headers=headers, timeout=30)
response.raise_for_status()
data = response.json()
if data.get('success') and data.get('data'):
print(f"{Colors.GREEN}Data successfully extracted:{Colors.RESET}")
print(json.dumps(data['data'], indent=2))
return data['data']
elif data.get('success') and not data.get('data'):
if attempt % 6 == 0:
print(f"{Colors.YELLOW}Still processing... (attempt {attempt}/{max_attempts}){Colors.RESET}")
time.sleep(interval)
else:
print(f"{Colors.RED}API Error: {data.get('error', 'No error message provided')}{Colors.RESET}")
return None
except requests.exceptions.RequestException as e:
print(f"{Colors.RED}Request error: {str(e)}{Colors.RESET}")
return None
except json.JSONDecodeError as e:
print(f"{Colors.RED}JSON parsing error: {str(e)}{Colors.RESET}")
return None
except Exception as e:
print(f"{Colors.RED}Unexpected error: {str(e)}{Colors.RESET}")
return None
print(f"{Colors.RED}Max polling attempts reached. Extraction did not complete in time.{Colors.RESET}")
return None
def main():
company = input(f"{Colors.BLUE}Enter the company name: {Colors.RESET}")
objective = input(f"{Colors.BLUE}Enter what information you want about the company: {Colors.RESET}")
serp_results = search_google(f"{company}")
if not serp_results:
print(f"{Colors.RED}No search results found.{Colors.RESET}")
return
selected_urls = select_urls_with_claude(company, objective, serp_results)
if not selected_urls:
print(f"{Colors.RED}No URLs were selected.{Colors.RESET}")
return
data = extract_company_info(selected_urls, objective, company, firecrawl_api_key)
if data:
print(f"{Colors.GREEN}Extraction completed successfully.{Colors.RESET}")
else:
print(f"{Colors.RED}Failed to extract the requested information. Try refining your prompt or choosing a different company.{Colors.RESET}")
if __name__ == "__main__":
main()

View File

@ -0,0 +1,5 @@
python-dotenv>=1.0.0
requests>=2.31.0
openai>=1.12.0
google-search-results>=2.4.2
serpapi>=0.1.5