{"id":"f894f1fc-98bd-41a8-9f42-59ed253e88be","entityType":"agent","slug":"clawhub-apify-apify-competitor-intelligence","name":"Apify Competitor Intelligence","canonicalUrl":"https://www.xpersona.co/agent/clawhub-apify-apify-competitor-intelligence","canonicalPath":"/agent/clawhub-apify-apify-competitor-intelligence","generatedAt":"2026-10-10T03:51:49.807Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T09:14:42.454Z","emptyReason":null},"description":"Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Skill: Apify Competitor Intelligence Owner: apify Summary: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-02-11T15:41:41.664Z | auto - Switched from mcporter CLI to mcpc CLI for actor schema and metadata fetching. - Updated required system binaries and node package","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 3.2K downloads reported by the source. 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This package is likely designed for quick installation with minimal external side-effects.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-10T03:51:49.807Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-apify-apify-competitor-intelligence/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-09T09:14:42.454Z","emptyReason":null},"readme":"Skill: Apify Competitor Intelligence\n\nOwner: apify\n\nSummary: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\n\nTags: latest:1.0.1\n\nVersion history:\n\nv1.0.1 | 2026-02-11T15:41:41.664Z | auto\n\n- Switched from mcporter CLI to mcpc CLI for actor schema and metadata fetching.\n- Updated required system binaries and node package to \"@apify/mcpc\".\n- Revised prerequisite steps and command examples to use mcpc instead of mcporter.\n- Updated troubleshooting steps to reference mcpc installation and errors.\n\nv1.0.0 | 2026-02-11T15:11:46.970Z | auto\n\nInitial release of apify-competitor-intelligence.\n\n- Analyze competitor strategies, pricing, ads, and positioning across major platforms (Google Maps, Booking.com, Facebook, Instagram, YouTube, TikTok) using Apify Actors.\n- Simple workflow: identify analysis type, fetch Actor input schema dynamically, collect user preferences, run analysis, and summarize results.\n- Robust input sanitation rules prevent shell injection and enforce safe filenames.\n- Output choices include chat summary, CSV export, or JSON export, with customizable file naming.\n- Enhanced security and privacy: utilizes Apify’s API, scoped tokens, and sandboxes; does not access unrelated files or collect private data.\n- Clear error handling steps for missing configuration, tooling, or API errors.\n\nArchive index:\n\nArchive v1.0.1: 4 files, 8720 bytes\n\nFiles: reference/scripts/run_actor.js (13799b), skill-card.md (2157b), SKILL.md (6995b), _meta.json (148b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: apify-competitor-intelligence\ndescription: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\nversion: 1.0.1\nsource: https://github.com/apify/agent-skills\nhomepage: https://apify.com\nmetadata:\n  openclaw:\n    requires:\n      env:\n        - APIFY_TOKEN\n      bins:\n        - node\n        - mcpc\n    primaryEnv: APIFY_TOKEN\n    install:\n      - kind: node\n        package: \"@apify/mcpc\"\n        bins: [mcpc]\n---\n\n# Competitor Intelligence\n\nAnalyze competitors using Apify Actors to extract data from multiple platforms.\n\n## Prerequisites\n\n- `APIFY_TOKEN` configured in OpenClaw settings\n- Node.js 20.6+\n- `mcpc` CLI (auto-installed via skill metadata)\n\n## Input Sanitization Rules\n\nBefore substituting any value into a bash command:\n- **ACTOR_ID**: Must be either a technical name (`owner/actor-name` — alphanumeric, hyphens, dots, one slash) or a raw ID (exactly 17 alphanumeric characters, e.g., `oeiQgfg5fsmIJB7Cn`). Reject values containing shell metacharacters (`` ; | & $ ` ( ) { } < > ! \\n ``).\n- **SEARCH_KEYWORDS**: Plain text words only. Reject shell metacharacters.\n- **JSON_INPUT**: Must be valid JSON. Must not contain single quotes (use escaped double quotes). Validate structure before use.\n- **Output filenames**: Must match `YYYY-MM-DD_descriptive-name.{csv,json}`. No path separators (`/`, `..`), no spaces, no metacharacters.\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify competitor analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Competitor Analysis Type\n\nSelect the appropriate Actor based on analysis needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Competitor business data | `compass/crawler-google-places` | Location analysis |\n| Competitor contact discovery | `poidata/google-maps-email-extractor` | Email extraction |\n| Feature benchmarking | `compass/google-maps-extractor` | Detailed business data |\n| Competitor review analysis | `compass/Google-Maps-Reviews-Scraper` | Review comparison |\n| Hotel competitor data | `voyager/booking-scraper` | Hotel benchmarking |\n| Hotel review comparison | `voyager/booking-reviews-scraper` | Review analysis |\n| Competitor ad strategies | `apify/facebook-ads-scraper` | Ad creative analysis |\n| Competitor page metrics | `apify/facebook-pages-scraper` | Page performance |\n| Competitor content analysis | `apify/facebook-posts-scraper` | Post strategies |\n| Competitor reels performance | `apify/facebook-reels-scraper` | Reels analysis |\n| Competitor audience analysis | `apify/facebook-comments-scraper` | Comment sentiment |\n| Competitor event monitoring | `apify/facebook-events-scraper` | Event tracking |\n| Competitor audience overlap | `apify/facebook-followers-following-scraper` | Follower analysis |\n| Competitor review benchmarking | `apify/facebook-reviews-scraper` | Review comparison |\n| Competitor ad monitoring | `apify/facebook-search-scraper` | Ad discovery |\n| Competitor profile metrics | `apify/instagram-profile-scraper` | Profile analysis |\n| Competitor content monitoring | `apify/instagram-post-scraper` | Post tracking |\n| Competitor engagement analysis | `apify/instagram-comment-scraper` | Comment analysis |\n| Competitor reel performance | `apify/instagram-reel-scraper` | Reel metrics |\n| Competitor growth tracking | `apify/instagram-followers-count-scraper` | Follower tracking |\n| Comprehensive competitor data | `apify/instagram-scraper` | Full analysis |\n| API-based competitor analysis | `apify/instagram-api-scraper` | API access |\n| Competitor video analysis | `streamers/youtube-scraper` | Video metrics |\n| Competitor sentiment analysis | `streamers/youtube-comments-scraper` | Comment sentiment |\n| Competitor channel metrics | `streamers/youtube-channel-scraper` | Channel analysis |\n| TikTok competitor analysis | `clockworks/tiktok-scraper` | TikTok data |\n| Competitor video strategies | `clockworks/tiktok-video-scraper` | Video analysis |\n| Competitor TikTok profiles | `clockworks/tiktok-profile-scraper` | Profile data |\n\n### Step 2: Fetch Actor Schema\n\nFetch the Actor's input schema and details dynamically using mcpc:\n\n```bash\nmcpc --json mcp.apify.com --header \"Authorization: Bearer $APIFY_TOKEN\" tools-call fetch-actor-details actor:=\"ACTOR_ID\" | jq -r \".content\"\n```\n\nReplace `ACTOR_ID` with the selected Actor (e.g., `compass/crawler-google-places`).\n\nThis returns:\n- Actor description and README\n- Required and optional input parameters\n- Output fields (if available)\n\n### Step 3: Ask User Preferences\n\nBefore running, ask:\n1. **Output format**:\n   - **Quick answer** - Display top few results in chat (no file saved)\n   - **CSV** - Full export with all fields\n   - **JSON** - Full export in JSON format\n2. **Number of results**: Based on character of use case\n\n### Step 4: Run the Script\n\n**Quick answer (display in chat, no file):**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT'\n```\n\n**CSV:**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.csv' \\\n  --format csv\n```\n\n**JSON:**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.json' \\\n  --format json\n```\n\n### Step 5: Summarize Findings\n\nAfter completion, report:\n- Number of competitors analyzed\n- File location and name\n- Key competitive insights\n- Suggested next steps (deeper analysis, benchmarking)\n\n\n## Security & Data Privacy\n\nThis skill instructs the agent to select an Apify Actor, fetch its schema (via mcpc), and run scrapers. The included script communicates only with api.apify.com and writes outputs to files under the current working directory; it does not access unrelated system files or other environment variables.\n\nApify Actors only scrape publicly available data and do not collect private or personally identifiable information beyond what is openly accessible on the target platforms. For additional security assurance, you can check an Actor's permission level by querying `https://api.apify.com/v2/acts/:actorId` — an Actor with `LIMITED_PERMISSIONS` operates in a restricted sandbox, while `FULL_PERMISSIONS` indicates broader system access. For full details, see [Apify's General Terms and Conditions](https://docs.apify.com/legal/general-terms-and-conditions).\n\n## Error Handling\n\n`APIFY_TOKEN not found` - Ask user to configure `APIFY_TOKEN` in OpenClaw settings\n`mcpc not found` - Run `npm install -g @apify/mcpc`\n`Actor not found` - Check Actor ID spelling\n`Run FAILED` - Ask user to check Apify console link in error output\n`Timeout` - Reduce input size or increase `--timeout`\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7dwbenp3s7m8hkx5za2fxb5n80xed2\",\n  \"slug\": \"apify-competitor-intelligence\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1770824501664\n}\n\nFile v1.0.1:skill-card.md\n\n## Description:\n\nAnalyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[apify](https://clawhub.ai/user/apify)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nExternal users and business analysts use this skill to select and run Apify Actors for competitor research across local listings, travel, social media, ads, reviews, and video platforms, then summarize or export the results.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill can start Apify Actor runs with the configured token, which may consume account resources.\n\nMitigation: Use a dedicated low-privilege Apify token with spend limits and keep Actor choices within the documented catalog.\n\nRisk: Scraped outputs may contain inaccurate, sensitive, or otherwise untrusted public data.\n\nMitigation: Avoid sensitive input, review generated CSV or JSON before reuse, and treat exported files as untrusted data.\n\nRisk: The mcpc installation path is unpinned, so dependency changes can affect behavior.\n\nMitigation: Pin and review the @apify/mcpc package version in managed environments before deployment.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/apify/skills/apify-competitor-intelligence)\n- [Apify](https://apify.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance, files]\n\n**Output Format:** [Markdown guidance with bash commands; optional CSV or JSON exports from Apify Actor runs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires APIFY_TOKEN, Node.js, and mcpc; quick-answer mode prints a small result sample while file mode exports CSV or JSON data.]\n\n## Skill Version(s):\n\n1.0.1 (source: server release and frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.0: 3 files, 7422 bytes\n\nFiles: reference/scripts/run_actor.js (13799b), SKILL.md (6939b), _meta.json (148b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: apify-competitor-intelligence\ndescription: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\nversion: 1.0.0\nsource: https://github.com/apify/agent-skills\nhomepage: https://apify.com\nmetadata:\n  openclaw:\n    requires:\n      env:\n        - APIFY_TOKEN\n      bins:\n        - node\n        - mcporter\n    primaryEnv: APIFY_TOKEN\n    install:\n      - kind: node\n        package: mcporter\n        bins: [mcporter]\n---\n\n# Competitor Intelligence\n\nAnalyze competitors using Apify Actors to extract data from multiple platforms.\n\n## Prerequisites\n\n- `APIFY_TOKEN` configured in OpenClaw settings\n- Node.js 20.6+\n- `mcporter` CLI (auto-installed via skill metadata)\n\n## Input Sanitization Rules\n\nBefore substituting any value into a bash command:\n- **ACTOR_ID**: Must be either a technical name (`owner/actor-name` — alphanumeric, hyphens, dots, one slash) or a raw ID (exactly 17 alphanumeric characters, e.g., `oeiQgfg5fsmIJB7Cn`). Reject values containing shell metacharacters (`` ; | & $ ` ( ) { } < > ! \\n ``).\n- **SEARCH_KEYWORDS**: Plain text words only. Reject shell metacharacters.\n- **JSON_INPUT**: Must be valid JSON. Must not contain single quotes (use escaped double quotes). Validate structure before use.\n- **Output filenames**: Must match `YYYY-MM-DD_descriptive-name.{csv,json}`. No path separators (`/`, `..`), no spaces, no metacharacters.\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify competitor analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcporter\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Competitor Analysis Type\n\nSelect the appropriate Actor based on analysis needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Competitor business data | `compass/crawler-google-places` | Location analysis |\n| Competitor contact discovery | `poidata/google-maps-email-extractor` | Email extraction |\n| Feature benchmarking | `compass/google-maps-extractor` | Detailed business data |\n| Competitor review analysis | `compass/Google-Maps-Reviews-Scraper` | Review comparison |\n| Hotel competitor data | `voyager/booking-scraper` | Hotel benchmarking |\n| Hotel review comparison | `voyager/booking-reviews-scraper` | Review analysis |\n| Competitor ad strategies | `apify/facebook-ads-scraper` | Ad creative analysis |\n| Competitor page metrics | `apify/facebook-pages-scraper` | Page performance |\n| Competitor content analysis | `apify/facebook-posts-scraper` | Post strategies |\n| Competitor reels performance | `apify/facebook-reels-scraper` | Reels analysis |\n| Competitor audience analysis | `apify/facebook-comments-scraper` | Comment sentiment |\n| Competitor event monitoring | `apify/facebook-events-scraper` | Event tracking |\n| Competitor audience overlap | `apify/facebook-followers-following-scraper` | Follower analysis |\n| Competitor review benchmarking | `apify/facebook-reviews-scraper` | Review comparison |\n| Competitor ad monitoring | `apify/facebook-search-scraper` | Ad discovery |\n| Competitor profile metrics | `apify/instagram-profile-scraper` | Profile analysis |\n| Competitor content monitoring | `apify/instagram-post-scraper` | Post tracking |\n| Competitor engagement analysis | `apify/instagram-comment-scraper` | Comment analysis |\n| Competitor reel performance | `apify/instagram-reel-scraper` | Reel metrics |\n| Competitor growth tracking | `apify/instagram-followers-count-scraper` | Follower tracking |\n| Comprehensive competitor data | `apify/instagram-scraper` | Full analysis |\n| API-based competitor analysis | `apify/instagram-api-scraper` | API access |\n| Competitor video analysis | `streamers/youtube-scraper` | Video metrics |\n| Competitor sentiment analysis | `streamers/youtube-comments-scraper` | Comment sentiment |\n| Competitor channel metrics | `streamers/youtube-channel-scraper` | Channel analysis |\n| TikTok competitor analysis | `clockworks/tiktok-scraper` | TikTok data |\n| Competitor video strategies | `clockworks/tiktok-video-scraper` | Video analysis |\n| Competitor TikTok profiles | `clockworks/tiktok-profile-scraper` | Profile data |\n\n### Step 2: Fetch Actor Schema\n\nFetch the Actor's input schema and details dynamically using mcporter:\n\n```bash\nmcporter call apify.fetch-actor-details actor='ACTOR_ID' --json\n```\n\nReplace `ACTOR_ID` with the selected Actor (e.g., `compass/crawler-google-places`).\n\nThis returns:\n- Actor description and README\n- Required and optional input parameters\n- Output fields (if available)\n\n### Step 3: Ask User Preferences\n\nBefore running, ask:\n1. **Output format**:\n   - **Quick answer** - Display top few results in chat (no file saved)\n   - **CSV** - Full export with all fields\n   - **JSON** - Full export in JSON format\n2. **Number of results**: Based on character of use case\n\n### Step 4: Run the Script\n\n**Quick answer (display in chat, no file):**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT'\n```\n\n**CSV:**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.csv' \\\n  --format csv\n```\n\n**JSON:**\n```bash\nnode {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.json' \\\n  --format json\n```\n\n### Step 5: Summarize Findings\n\nAfter completion, report:\n- Number of competitors analyzed\n- File location and name\n- Key competitive insights\n- Suggested next steps (deeper analysis, benchmarking)\n\n\n## Security & Data Privacy\n\nThis skill instructs the agent to select an Apify Actor, fetch its schema (via mcporter), and run scrapers. The included script communicates only with api.apify.com and writes outputs to files under the current working directory; it does not access unrelated system files or other environment variables.\n\nApify Actors only scrape publicly available data and do not collect private or personally identifiable information beyond what is openly accessible on the target platforms. For additional security assurance, you can check an Actor's permission level by querying `https://api.apify.com/v2/acts/:actorId` — an Actor with `LIMITED_PERMISSIONS` operates in a restricted sandbox, while `FULL_PERMISSIONS` indicates broader system access. For full details, see [Apify's General Terms and Conditions](https://docs.apify.com/legal/general-terms-and-conditions).\n\n## Error Handling\n\n`APIFY_TOKEN not found` - Ask user to configure `APIFY_TOKEN` in OpenClaw settings\n`mcporter not found` - Run `npm install -g mcporter`\n`Actor not found` - Check Actor ID spelling\n`Run FAILED` - Ask user to check Apify console link in error output\n`Timeout` - Reduce input size or increase `--timeout`\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7dwbenp3s7m8hkx5za2fxb5n80xed2\",\n  \"slug\": \"apify-competitor-intelligence\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1770822706970\n}","readmeExcerpt":"Skill: Apify Competitor Intelligence Owner: apify Summary: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-02-11T15:41:41.664Z | auto - Switched from mcporter CLI to mcpc CLI for actor schema and metadata fetching. - Updated required system binaries and node package","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Task Progress:\n- [ ] Step 1: Identify competitor analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings"},{"language":"bash","snippet":"mcpc --json mcp.apify.com --header \"Authorization: Bearer $APIFY_TOKEN\" tools-call fetch-actor-details actor:=\"ACTOR_ID\" | jq -r \".content\""},{"language":"bash","snippet":"node {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT'"},{"language":"bash","snippet":"node {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.csv' \\\n  --format csv"},{"language":"bash","snippet":"node {baseDir}/reference/scripts/run_actor.js \\\n  --actor 'ACTOR_ID' \\\n  --input 'JSON_INPUT' \\\n  --output 'YYYY-MM-DD_OUTPUT_FILE.json' \\\n  --format json"},{"language":"text","snippet":"Task Progress:\n- [ ] Step 1: Identify competitor analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcporter\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: apify-competitor-intelligence\ndescription: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\nversion: 1.0.1\nsource: https://github.com/apify/agent-skills\nhomepage: https://apify.com\nmetadata:\n  openclaw:\n    requires:\n      env:\n        - APIFY_TOKEN\n      bins:\n        - node\n        - mcpc\n    primaryEnv: APIFY_TOKEN\n    install:\n      - kind: node\n        package: \"@apify/mcpc\"\n        bins: [mcpc]\n---\n\n# Competitor Intelligence\n\nAnalyze competitors using Apify Actors to extract data from multiple platforms.\n\n## Prerequisites\n\n- `APIFY_TOKEN` configured in OpenClaw settings\n- Node.js 20.6+\n- `mcpc` CLI (auto-installed via skill metadata)\n\n## Input Sanitization Rules\n\nBefore substituting any value into a bash command:\n- **ACTOR_ID**: Must be either a technical name (`owner/actor-name` — alphanumeric, hyphens, dots, one slash) or a raw ID (exactly 17 alphanumeric characters, e.g., `oeiQgfg5fsmIJB7Cn`). Reject values containing shell metacharacters (`` ; | & $ ` ( ) { } < > ! \\n ``).\n- **SEARCH_KEYWORDS**: Plain text words only. Reject shell metacharacters.\n- **JSON_INPUT**: Must be valid JSON. Must not contain single quotes (use escaped double quotes). Validate structure before use.\n- **Output filenames**: Must match `YYYY-MM-DD_descriptive-name.{csv,json}`. No path separators (`/`, `..`), no spaces, no metacharacters.\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify competitor analysis type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Competitor Analysis Type\n\nSelect the appropriate Actor based on analysis needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Competitor business data | `compass/crawler-google-places` | Location analysis |\n| Competitor contact discovery | `poidata/google-maps-email-extractor` | Email extraction |\n| Feature benchmarking | `compass/google-maps-extractor` | Detailed business data |\n| Competitor review analysis | `compass/Google-Maps-Reviews-Scraper` | Review comparison |\n| Hotel competitor data | `voyager/booking-scraper` | Hotel benchmarking |\n| Hotel review comparison | `voyager/booking-reviews-scraper` | Review analysis |\n| Competitor ad strategies | `apify/facebook-ads-scraper` | Ad creative analysis |\n| Competitor page metrics | `apify/facebook-pages-scraper` | Page performance |\n| Competitor content analysis | `apify/facebook-posts-scraper` | Post strategies |\n| Competitor reels performance | `apify/facebook-reels-scraper` | Reels analysis |\n| Competitor audience analysis | `apify/facebook-comments-scraper` | Comment sentiment |\n| Competitor event monitoring | `apify/facebook-events-scraper` | Event tracking |\n| Competitor audience overlap | `apify/facebook-followe"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7dwbenp3s7m8hkx5za2fxb5n80xed2\",\n  \"slug\": \"apify-competitor-intelligence\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1770824501664\n}"},{"path":"skill-card.md","content":"## Description:\n\nAnalyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[apify](https://clawhub.ai/user/apify)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nExternal users and business analysts use this skill to select and run Apify Actors for competitor research across local listings, travel, social media, ads, reviews, and video platforms, then summarize or export the results.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill can start Apify Actor runs with the configured token, which may consume account resources.\n\nMitigation: Use a dedicated low-privilege Apify token with spend limits and keep Actor choices within the documented catalog.\n\nRisk: Scraped outputs may contain inaccurate, sensitive, or otherwise untrusted public data.\n\nMitigation: Avoid sensitive input, review generated CSV or JSON before reuse, and treat exported files as untrusted data.\n\nRisk: The mcpc installation path is unpinned, so dependency changes can affect behavior.\n\nMitigation: Pin and review the @apify/mcpc package version in managed environments before deployment.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/apify/skills/apify-competitor-intelligence)\n- [Apify](https://apify.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance, files]\n\n**Output Format:** [Markdown guidance with bash commands; optional CSV or JSON exports from Apify Actor runs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires APIFY_TOKEN, Node.js, and mcpc; quick-answer mode prints a small result sample while file mode exports CSV or JSON data.]\n\n## Skill Version(s):\n\n1.0.1 (source: server release and frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Skill: Apify Competitor Intelligence Owner: apify Summary: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-02-11T15:41:41.664Z | auto - Switched from mcporter CLI to mcpc CLI for actor schema and metadata fetching. - Updated required system binaries and node package","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1133,"uniquenessScore":52,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T09:14:42.454Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T09:14:42.454Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T03:51:49.807Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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