Domain Keyword Intelligence Scraper > Turn keywords into real domain-market intelligence. This Apify Actor queries DomainLeads.com and transforms raw domain data into actionable intelligence, helping domain investors, SaaS founders, SEO researchers, and brand protection teams understand how competitive, saturated, or brandable a keyword is across global TLDs. Unlike normal domain scrapers, this Actor doesn't just return SLD lists. It analyzes them, scores them, and tells you what the data means. --- ## 🔍 What This Actor Delivers For every keyword, the Actor retrieves all related SLDs and augments them with computed insights: ### Directly Collected From DomainLeads - sld — matched domain label (e.g., "font", "pizza", "cloudapi") - extensions_taken — how many TLDs currently register this SLD - extensions_list — full list of taken TLDs for that SLD - domain_count — number of domains worldwide containing that SLD - ext_count_dev — number of developer-focused TLDs used (.dev, .app, .io, .ai, .tech) - extensions_list_dev — list of dev-focused TLDs in use ### Actor-Computed Intelligence Metrics These derived metrics make the output useful and "decision-ready": | Field | Meaning | |-------|---------| | popularity_score (0–100) | Based on log-scaled domain_count + saturation across TLDs | | developer_interest_score (0–100) | Measures tech/SaaS relevance via dev extensions + domain signals | | brand_risk_score (0–100) | Higher risk if SLD is heavily registered, especially in ccTLDs | | availability_count | How many major TLDs remain unregistered | | top_available_tlds | First 10 available TLDs from the canonical list | | market_category | Simple classifier (AI/SaaS, ecommerce, creative, food, general) | | difficulty | Indicates keyword saturation across domains (easy → very competitive) | | summary | A 2–3 sentence human-readable market interpretation | These fields turn raw domain metadata into true keyword intelligence. --- ## ⭐ Who This Actor Helps This Actor provides immediate value for anyone analyzing digital naming or domain markets: - Domain investors → identify high-demand, low-saturation terms - SaaS founders → check brandability, availability & dev-TLD interest - SEO/branding teams → evaluate naming competitiveness - Brand protection teams → detect high-risk or widely-registered keywords Instead of manually checking TLD saturation, this tool gives you a one-shot competitiveness report for every keyword. --- ## 🧠 How Derived Fields Are Computed A quick breakdown of the scoring logic: ### Popularity Score (0–100) - Log-scaled domain_count contributes up to 60 - extensions_taken across major TLDs contributes up to 40 ### Developer Interest Score (0–100) - Each dev TLD (.dev, .app, .io, .ai, .tech) increases score - Additional boost from total domain_count - Indicates SaaS relevance / developer adoption ### Brand Risk Score (0–100) - High domain_count = more potential trademark or confusion risk - Many global + country-code TLDs increase risk - Useful for brand safety teams ### Availability & Opportunity - Uses a built-in canonical TLD list - availability_count tells you how many important TLDs are open - top_available_tlds shows first 10 available options ### Difficulty Classification Based on: - popularity - availability - general saturation Labels: easy, moderate, competitive, very competitive --- ## 🧾 Input Schema Provide a single keyword or an array: json { "keywords": ["font", "pizza", "ai"], "maxResults": 20, "parallel": true, "concurrency": 8 } ### Parameters | Field | Type | Description | |-------|------|-------------| | keywords | string | string[] | Keywords/SLDs to analyze | | maxResults | number | Max SLDs to return per keyword | | parallel | boolean | Enables parallel processing | | concurrency | number | Max concurrent API calls | --- ## 📤 Output Example json { "keyword": "fonts", "sld": "fonts", "extensions_taken": 121, "extensions_list": ["AI", "APP", "AT", "..."], "domain_count": 5193, "ext_count_dev": 12, "extensions_list_dev": ["DEV", "APP", "IO"], "popularity_score": 82, "developer_interest_score": 51, "brand_risk_score": 79, "availability_count": 20, "top_available_tlds": ["cloud", "gallery", "reviews"], "market_category": "design / creative", "difficulty": "competitive", "summary": "The term 'fonts' shows strong demand with 121 TLDs taken and ~5,193 related domains. Developer interest is moderate due to adoption across dev-oriented TLDs. Overall competition is high, but several notable TLDs remain available." } Each item is self-contained, meaning third-party tools can ingest the dataset directly. --- ## 🚀 Why This Actor Is Valuable This is not a simple "keyword → SLD list" scraper. It transforms domain data into market insights that answer: - ✅ How saturated is this keyword globally? - ✅ Is it attractive for SaaS or developer-first branding? - ✅ How risky is it from a brand protection perspective? - ✅ Which TLDs are still open for use? - ✅ Is the keyword easy, moderate, or competitive to build a brand around? --- ## 🤝 Support For issues or questions, please contact the Actor maintainer. Email: leafydevjr@gmail.com