Competitor-Based Keyword Recommendations for On-Page SEO
Pricing
$20.00/month + usage
Competitor-Based Keyword Recommendations for On-Page SEO
This actor takes a keyword, language, and Google engine, then returns structured SEO insights: ideal word count, title/content terms with usage ranges, relevant questions (H1–H3, PAA), and competitor data including URLs, rankings, titles, and content scores.
Pricing
$20.00/month + usage
Rating
3.9
(3)
Developer

Antonio Blago
Actor stats
3
Bookmarked
59
Total users
1
Monthly active users
4 months ago
Last modified
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Apify SEO Keyword Analyzer and Recommendations
An Apify Actor that performs SEO keyword analysis. It allows you to analyze keywords, retrieve content recommendations, and gain insights into competitors.
⚠️ Please note:
The output may take up to 2 minutes to process, depending on keyword complexity and competitor data volume. It does make a live analysis. Please be a patient. If you do not get a results in the output, write me an email to info@antonioblago.com
📌 Features
✅ Automated Query Submission → Submits keyword queries to SEO analysis.
✅ Retrieves Content Optimization Suggestions → Title terms, content terms & suggested questions.
✅ Competitor Insights → Extracts ranking competitor data for given keywords.
✅ Structured JSON Output → Provides easy-to-interpret results for analysis.
✅ Ideal for SEO Audits, Content Strategy & Keyword Research.
📊 Content Scoring Logic
Each competitor URL is assigned a Content Score, which reflects how well the page is optimized for the target keyword compared to other top-ranking pages.
The scoring is based on multiple content quality dimensions:
| Component | Description | Weight (%) |
|---|---|---|
| Title Term Coverage | Measures how well important keyword-related terms appear in the page’s <title>. | 20% |
| Content Term Coverage | Analyzes how frequently and naturally key terms occur throughout the page content. | 35% |
| Keyword Spread & Density | Evaluates the distribution and placement of keywords across headings, paragraphs, and body. | 15% |
| Semantic Relevance (NLP) | Uses natural language processing to assess how topically aligned the page is to the main keyword. | 20% |
| Structure Quality | Considers formatting aspects like heading structure, paragraphs, and use of semantic HTML tags. | 10% |
Score Ranges Explained
| Score Range | Interpretation |
|---|---|
| 90–100 | Highly optimized content with strong semantic and structural alignment. |
| 70–89 | Well-structured and relevant content with moderate optimization gaps. |
| <70 | Low alignment to keyword intent, missing key terms or poor structure. |
Why this Score Matters
This isn’t just about keyword stuffing — the score reflects how search-optimized, relevant, and semantically strong the content is.
The system uses competitive SERP data to determine which terms matter most, how they’re used by top-ranking pages, and how your content compares. It goes beyond exact matches and evaluates semantic context, keyword prominence, and topic completeness.
Example Output (with Score Breakdown)
{"competitors": [{"rank": 1,"url": "https://example.com","content_score": 91,"score_breakdown": {"title": 18,"content_terms": 33,"spread_density": 12,"nlp_relevance": 18,"structure": 10}}]}
Let me know if you want this section embedded into your full Apify README in one go.
⚙️ Input Parameters
The actor accepts the following input in JSON format:
{"keyword": "seo check","language": "English","google_engine": "google.com"}
| Parameter | Type | Description |
|---|---|---|
keyword | String | The target keyword for analysis (required). |
language | String | Language for keyword analysis (default: English). Supported languages include English, Spanish, French, German, Chinese, Japanese, Italian, Dutch, Russian, and many more. |
google_engine | String | Google search engine version (default: google.com). Supported versions include google.com, google.co.uk, google.ca, google.de, google.fr, google.es, google.it, google.nl, google.ru, google.co.in, google.com.br, and many more. |
📤 Output Format
The actor returns structured JSON output with keyword analysis details.
1️⃣ Keyword Analysis Results
Example output:
{"query": "seo check","metrics": {"word_count": { "target": 1200 }},"terms_txt": {"title": ["SEO", "check", "analysis"],"content_basic": ["SEO tips", "best practices"]},"competitors": [{ "rank": 1, "url": "https://example.com", "content_score": 85 }]}
🚀 How to Run
Option 1: Using Apify Console
- Go to the Apify Actor Page.
- Click Run and provide the input JSON.
- Retrieve results from the Dataset Storage.
Option 2: API Execution (cURL)
Run the actor directly via API:
cat > input.json <<'EOF'{"keyword": "seo check","language": "English","google_engine": "google.com"}EOFcurl "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=$API_TOKEN" \-X POST \-d @input.json \-H 'Content-Type: application/json'
🔍 Example Use Cases
💡 SEO Audits → Get keyword insights and content term recommendations.
💡 Competitor Analysis → Identify top-ranking competitors and their strategies.
💡 Content Optimization → Improve keyword usage in articles for higher rankings.
📚 Resources
🛠️ Author & Support
Developed by [Antonio Blago] 💬 Need help? Reach out via Apify Community