{
  "schemaVersion": "1.0",
  "item": {
    "slug": "apollo-like-leads-apify",
    "name": "Apollo Like Leads Apify",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/hundevmode/apollo-like-leads-apify",
    "canonicalUrl": "https://clawhub.ai/hundevmode/apollo-like-leads-apify",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/apollo-like-leads-apify",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=apollo-like-leads-apify",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "agents/openai.yaml",
      "references/actor-input-guide.md",
      "references/sample_input.json",
      "references/troubleshooting.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
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      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/apollo-like-leads-apify"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/apollo-like-leads-apify",
    "agentPageUrl": "https://openagent3.xyz/skills/apollo-like-leads-apify/agent",
    "manifestUrl": "https://openagent3.xyz/skills/apollo-like-leads-apify/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/apollo-like-leads-apify/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Overview",
        "body": "This skill runs the Apify actor LurATYM4hkEo78GVj to collect Apollo-style B2B leads with filters such as job title, seniority, location, employee size, industry, and email quality.\n\nActor link:\n\nhttps://console.apify.com/actors/LurATYM4hkEo78GVj/source\n\nUse this skill when a user asks to:\n\ncollect B2B contacts similar to Apollo workflows\nfetch leads with verified emails and optional phones\nbuild payloads for founders/execs by geo and industry\nrun repeatable lead collection from script/API"
      },
      {
        "title": "Scope",
        "body": "Build validated actor input payloads.\nRun actor with secure token handling (APIFY_TOKEN env or --apify-token).\nReturn normalized summary and raw lead rows.\nSupport quick preset runs and custom JSON input."
      },
      {
        "title": "Step-by-step workflow",
        "body": "Confirm target ICP (titles, seniority, location, company size, industries).\nBuild payload with required lead count and enrichment switches.\nRun actor using scripts/apollo_like_leads_actor.py.\nValidate lead count and inspect sample rows.\nExport rows to n8n/Sheets/CSV as needed."
      },
      {
        "title": "Authentication",
        "body": "Preferred:\n\nexport APIFY_TOKEN='apify_api_xxx'\n\nAlternative:\n\npython3 scripts/apollo_like_leads_actor.py run \\\n  --apify-token 'apify_api_xxx' \\\n  --input-json '{\"max_results\":50,\"person_location_country\":[\"United States\"]}'"
      },
      {
        "title": "1) Preset: 50 US founders (verified emails)",
        "body": "APIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py quick-founders-us-50"
      },
      {
        "title": "2) Custom run from inline JSON",
        "body": "APIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py run \\\n  --input-json '{\n    \"max_results\": 1000,\n    \"job_titles\": [\"CEO\", \"Founder\", \"Co-Founder\"],\n    \"job_title_seniority\": [\"owner\", \"cxo\"],\n    \"person_location_country\": [\"United States\"],\n    \"employee_size\": [\"11-50\", \"51-200\", \"201-500\"],\n    \"email_status\": \"verified\",\n    \"include_emails\": true,\n    \"include_phones\": false\n  }'"
      },
      {
        "title": "3) Custom run from JSON file",
        "body": "APIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py run \\\n  --input-file references/sample_input.json"
      },
      {
        "title": "Output contract",
        "body": "Script returns JSON with:\n\nok\nactorId\nleadsCount\ninputUsed\nrows[]\n\nYou can pass rows directly to n8n HTTP/Code nodes or map into Google Sheets columns."
      },
      {
        "title": "Important rules",
        "body": "Do not hardcode API keys in workflow templates.\nKeep max_results realistic for testing first (e.g., 50-200).\nUse email_status: \"verified\" for higher outreach quality.\nIf the user wants phone-heavy output, set include_phones: true explicitly.\nSeniority values should match actor enum (owner, cxo, vp, director, etc.); this script auto-normalizes common Apollo values like founder -> owner."
      },
      {
        "title": "References",
        "body": "references/actor-input-guide.md\nreferences/troubleshooting.md"
      }
    ],
    "body": "Apollo-like B2B Leads (Apify Actor)\nOverview\n\nThis skill runs the Apify actor LurATYM4hkEo78GVj to collect Apollo-style B2B leads with filters such as job title, seniority, location, employee size, industry, and email quality.\n\nActor link:\n\nhttps://console.apify.com/actors/LurATYM4hkEo78GVj/source\n\nUse this skill when a user asks to:\n\ncollect B2B contacts similar to Apollo workflows\nfetch leads with verified emails and optional phones\nbuild payloads for founders/execs by geo and industry\nrun repeatable lead collection from script/API\nScope\nBuild validated actor input payloads.\nRun actor with secure token handling (APIFY_TOKEN env or --apify-token).\nReturn normalized summary and raw lead rows.\nSupport quick preset runs and custom JSON input.\nStep-by-step workflow\nConfirm target ICP (titles, seniority, location, company size, industries).\nBuild payload with required lead count and enrichment switches.\nRun actor using scripts/apollo_like_leads_actor.py.\nValidate lead count and inspect sample rows.\nExport rows to n8n/Sheets/CSV as needed.\nAuthentication\n\nPreferred:\n\nexport APIFY_TOKEN='apify_api_xxx'\n\n\nAlternative:\n\npython3 scripts/apollo_like_leads_actor.py run \\\n  --apify-token 'apify_api_xxx' \\\n  --input-json '{\"max_results\":50,\"person_location_country\":[\"United States\"]}'\n\nQuick start commands\n1) Preset: 50 US founders (verified emails)\nAPIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py quick-founders-us-50\n\n2) Custom run from inline JSON\nAPIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py run \\\n  --input-json '{\n    \"max_results\": 1000,\n    \"job_titles\": [\"CEO\", \"Founder\", \"Co-Founder\"],\n    \"job_title_seniority\": [\"owner\", \"cxo\"],\n    \"person_location_country\": [\"United States\"],\n    \"employee_size\": [\"11-50\", \"51-200\", \"201-500\"],\n    \"email_status\": \"verified\",\n    \"include_emails\": true,\n    \"include_phones\": false\n  }'\n\n3) Custom run from JSON file\nAPIFY_TOKEN='apify_api_xxx' \\\npython3 scripts/apollo_like_leads_actor.py run \\\n  --input-file references/sample_input.json\n\nOutput contract\n\nScript returns JSON with:\n\nok\nactorId\nleadsCount\ninputUsed\nrows[]\n\nYou can pass rows directly to n8n HTTP/Code nodes or map into Google Sheets columns.\n\nImportant rules\nDo not hardcode API keys in workflow templates.\nKeep max_results realistic for testing first (e.g., 50-200).\nUse email_status: \"verified\" for higher outreach quality.\nIf the user wants phone-heavy output, set include_phones: true explicitly.\nSeniority values should match actor enum (owner, cxo, vp, director, etc.); this script auto-normalizes common Apollo values like founder -> owner.\nReferences\nreferences/actor-input-guide.md\nreferences/troubleshooting.md"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/hundevmode/apollo-like-leads-apify",
    "publisherUrl": "https://clawhub.ai/hundevmode/apollo-like-leads-apify",
    "owner": "hundevmode",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/apollo-like-leads-apify",
    "downloadUrl": "https://openagent3.xyz/downloads/apollo-like-leads-apify",
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}