WIP- Try AI-Writer and Web research; working.
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lib/check_blog_seo/cgpt_seo_analyzer.py
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135
lib/check_blog_seo/cgpt_seo_analyzer.py
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###################################################
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#
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# The script covers many SEO factors, including keyword presence, title length,
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# meta description, images, img alt text, headings, internal links, external links,
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# spelling errors, grammar errors, and readability.
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#
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##################################################
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import re
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from bs4 import BeautifulSoup
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from textstat import flesch_reading_ease
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import spellchecker
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class SEOAnalyzer:
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def __init__(self, html_content, target_keywords):
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self.html_content = html_content
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self.target_keywords = target_keywords
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def analyze_html_content(self):
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try:
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soup = BeautifulSoup(self.html_content, 'html.parser')
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# Extract and clean text from HTML
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text = ' '.join(soup.stripped_strings)
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text = re.sub(r'\s+', ' ', text)
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# Calculate keyword density
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keyword_density = {}
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for keyword in self.target_keywords:
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keyword_density[keyword] = (text.lower().count(keyword.lower()) / len(text.split())) * 100
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# Check for the presence of keywords in the title
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title_tag = soup.find('title')
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title_text = title_tag.text.lower() if title_tag else ''
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keyword_presence_in_title = {keyword: keyword.lower() in title_text for keyword in self.target_keywords}
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# Check for the presence of images and keywords in image alt text
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images = soup.find_all('img')
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img_alt_text = [img.get('alt', '').lower() for img in images]
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keyword_presence_in_img_alt_text = {keyword: any(keyword.lower() in alt_text for alt_text in img_alt_text) for keyword in self.target_keywords}
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# Check for the presence of headings
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headings = soup.find_all(['h1', 'h2', 'h3', 'h4', 'h5', 'h6'])
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headings_text = ' '.join(heading.text.lower() for heading in headings)
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# Check for the presence of internal and external links
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internal_links = len([link for link in soup.find_all('a') if '#' not in link.get('href', '')])
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external_links = len([link for link in soup.find_all('a') if 'http' in link.get('href', '')])
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# Calculate readability score
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readability_score = flesch_reading_ease(text)
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# Check for spelling and grammar errors
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spell = spellchecker.SpellChecker()
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spelling_errors = len(spell.unknown(text.split()))
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grammar_errors = len(spell.check_grammar(text))
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# Calculate SEO score
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seo_score = 0
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# Check for the presence of relevant keywords
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for keyword in self.target_keywords:
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if keyword in text.lower():
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seo_score += 1
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# Check for title length
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title_length = len(title_text.split()) if title_text else 0
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recommended_title_length = (50, 70)
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if recommended_title_length[0] <= title_length <= recommended_title_length[1]:
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seo_score += 1
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# Generate suggestions for improvement
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suggestions = []
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if seo_score < 5:
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suggestions.append("Add more relevant keywords to your HTML content.")
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suggestions.append("Make sure your title contains keywords.")
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suggestions.append("Add keywords to image alt text.")
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suggestions.append("Add headings to your HTML content.")
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suggestions.append("Add internal links to your HTML content.")
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return {
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'Keyword Density': keyword_density,
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'Keyword Presence in Title': keyword_presence_in_title,
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'Keyword Presence in Image Alt Text': keyword_presence_in_img_alt_text,
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'Headings Text': headings_text,
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'Internal Links': internal_links,
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'External Links': external_links,
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'Readability Score': readability_score,
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'Spelling Errors': spelling_errors,
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'Grammar Errors': grammar_errors,
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'SEO Score': seo_score,
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'Suggestions': suggestions
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}
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except Exception as e:
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return {'error': str(e)}
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# Example usage:
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if __name__ == "__main__":
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html_content = """
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<!DOCTYPE html>
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<html>
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<head>
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<title>SEO Analyzer - Sample Page</title>
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<meta name="description" content="This is a sample page for SEO analysis.">
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</head>
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<body>
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<h1>Welcome to the SEO Analyzer</h1>
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<p>This is a sample page with some sample content for SEO analysis. It mentions the target keywords SEO, keywords, and content.</p>
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<img src="image1.jpg" alt="SEO image">
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<img src="image2.jpg" alt="Keywords image">
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</body>
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</html>
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"""
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keywords = ['SEO', 'keywords', 'content'] # Replace with your target keywords
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seo_analyzer = SEOAnalyzer(html_content, keywords)
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results = seo_analyzer.analyze_html_content()
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print("SEO Analysis Results:")
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print(f"Keyword Density: {results['Keyword Density']}")
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print(f"Keyword Presence in Title: {results['Keyword Presence in Title']}")
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print(f"Keyword Presence in Image Alt Text: {results['Keyword Presence in Image Alt Text']}")
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print(f"Headings Text: {results['Headings Text']}")
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print(f"Internal Links: {results['Internal Links']}")
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print(f"External Links: {results['External Links']}")
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print(f"Readability Score: {results['Readability Score']}")
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print(f"Spelling Errors: {results['Spelling Errors']}")
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print(f"Grammar Errors: {results['Grammar Errors']}")
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print(f"SEO Score: {results['SEO Score']}")
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print("Suggestions:")
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for suggestion in results['Suggestions']:
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print(suggestion)
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