feat: add scrape_url import to ai_backlinking.py for enhanced functionality
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@@ -127,7 +127,10 @@
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# Database: MongoDB or PostgreSQL to track leads, emails, and responses.
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# Database: MongoDB or PostgreSQL to track leads, emails, and responses.
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#
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#
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#This solution will significantly streamline the backlinking process by automating the most tedious tasks, from finding sites to personalizing outreach, enabling marketers to focus on content creation and high-level strategies.
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#This solution will significantly streamline the backlinking process by automating the most tedious tasks, from finding sites to personalizing outreach, enabling marketers to focus on content creation and high-level strategies.
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from lib.ai_web_researcher.firecrawl_web_crawler import scrape_website
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from lib.ai_web_researcher.firecrawl_web_crawler import scrape_website
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from lib.ai_web_researcher.firecrawl_web_crawler import scrape_url
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def generate_search_queries(keyword):
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def generate_search_queries(keyword):
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"""
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"""
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@@ -181,7 +184,7 @@ def find_backlink_opportunities(keyword):
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results.append(result)
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results.append(result)
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return results
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return results
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from lib.ai_web_researcher.firecrawl_web_crawler import scrape_url
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def search_for_urls(query):
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def search_for_urls(query):
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"""
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"""
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@@ -199,6 +202,7 @@ def search_for_urls(query):
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return result['urls']
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return result['urls']
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return []
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return []
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def extract_contact_info(scraped_data):
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def extract_contact_info(scraped_data):
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"""
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"""
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Placeholder function to extract contact information from scraped data.
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Placeholder function to extract contact information from scraped data.
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