{
  "openapi": "3.0.1",
  "info": {
    "title": "Work Email Finder — Person & Company",
    "description": "Find a verified work email from a name plus company domain, or a public LinkedIn handle — or discover the contacts at a whole company by domain or company name. Filter by department, seniority and decision-maker status. Bulk and CSV ready. No LinkedIn login, API key or proxy setup.",
    "version": "1.0",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "people": {
            "title": "People",
            "type": "array",
            "description": "One person per line, in either form:\n\n• **Name, company** — `Jane Example, example.com` or `John Doe, Example Corporation`. A domain is the most reliable identifier; a company name works too.\n• **LinkedIn profile URL** — `https://www.linkedin.com/in/example-person`. On its own, with no name needed.\n\nEvery person you enter gets exactly one row back, including the ones that could not be found — so you always know which entries failed.\n\nThe LinkedIn URL is used only as an identifier. This Actor never opens the profile page and never needs a LinkedIn login, cookie or session.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "peopleRecords": {
            "title": "People with your own IDs (optional)",
            "type": "array",
            "description": "Use this instead of the list above when you need your own CRM or spreadsheet key carried through to the output.\n\nOne object per person, with any of: `fullName`, `firstName`, `lastName`, `domain`, `company`, `linkedinUrl`, `externalId`.\n\n```\n[{ \"fullName\": \"Jane Example\", \"domain\": \"example.com\", \"externalId\": \"lead_001\" }]\n```\n\nIf you supply both a domain and a company name, the domain is used.",
            "default": []
          },
          "peopleCsv": {
            "title": "People CSV (optional)",
            "type": "string",
            "description": "Paste a CSV with a header row to look up many people at once. Every row here is treated as a person.\n\nRecognised columns: `full_name`, `first_name`, `last_name`, `company`, `domain`, `linkedin_url`, `external_id`.\n\nEach row needs either a name plus a company or domain, or a LinkedIn URL on its own. A row with neither comes back as a row explaining why, rather than being silently dropped. Unrecognised columns are ignored rather than guessed at.",
            "default": ""
          },
          "companies": {
            "title": "Companies",
            "type": "array",
            "description": "One company per line. Domains, websites and company names all work: `stripe.com`, `www.stripe.com`, `https://stripe.com/jobs`, `Stripe`.\n\nA company name is resolved to its domain first, and is only searched when the match is confident — a weak match is reported rather than guessed at, because searching the wrong company costs you money and returns the wrong people.\n\nConsumer mail domains such as gmail.com are rejected; they are not companies.\n\nThis returns the contacts Hunter has indexed for the domain. It is not a guaranteed list of every employee.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "companyRecords": {
            "title": "Companies with your own IDs (optional)",
            "type": "array",
            "description": "Use this instead of the list above when you need your own account key carried through to the output.\n\n```\n[{ \"domain\": \"example.com\", \"externalId\": \"account_124\" }]\n```",
            "default": []
          },
          "companiesCsv": {
            "title": "Companies CSV (optional)",
            "type": "string",
            "description": "Paste a CSV with a header row to search many companies at once. Every row here is treated as a company.\n\nRecognised columns: `company`, `domain`, `external_id`.\n\nEach row needs a domain or a company name. A row with neither comes back as a row explaining why, rather than being silently dropped. Unrecognised columns are ignored rather than guessed at.",
            "default": ""
          },
          "maxEmailsPerCompany": {
            "title": "Maximum emails per company",
            "minimum": 1,
            "maximum": 100,
            "type": "integer",
            "description": "The most contacts to return for any one company. Lowering this genuinely costs less: the provider is asked for exactly this many, rather than a full page that then gets trimmed.",
            "default": 25
          },
          "departments": {
            "title": "Departments",
            "type": "array",
            "description": "Keep only contacts in these departments. Applied by the provider before results are returned, so narrowing here reduces what you are charged rather than filtering after the fact.",
            "items": {
              "type": "string",
              "enum": [
                "executive",
                "it",
                "finance",
                "management",
                "sales",
                "legal",
                "support",
                "hr",
                "marketing",
                "communication",
                "education",
                "design",
                "health",
                "operations",
                "product",
                "research",
                "consulting",
                "administrative",
                "procurement"
              ],
              "enumTitles": [
                "Executive",
                "IT",
                "Finance",
                "Management",
                "Sales",
                "Legal",
                "Support",
                "HR",
                "Marketing",
                "Communication",
                "Education",
                "Design",
                "Health",
                "Operations",
                "Product",
                "Research",
                "Consulting",
                "Administrative",
                "Procurement"
              ]
            },
            "default": []
          },
          "seniorities": {
            "title": "Seniority",
            "type": "array",
            "description": "Keep only contacts at these seniority levels.",
            "items": {
              "type": "string",
              "enum": [
                "junior",
                "senior",
                "executive"
              ],
              "enumTitles": [
                "Junior",
                "Senior",
                "Executive"
              ]
            },
            "default": []
          },
          "decisionMakersOnly": {
            "title": "Decision makers only",
            "type": "boolean",
            "description": "Keep only the contacts the provider flags as decision makers for their department.",
            "default": false
          },
          "emailTypes": {
            "title": "Email types",
            "type": "array",
            "description": "\"Personal\" means an individual's work address (jane@company.com). \"Generic\" means a shared company inbox (info@, sales@, support@).\n\nPersonal only by default. Adding generic inboxes returns more rows — and more rows are charged — so turn it on when a shared inbox is genuinely useful to you.",
            "items": {
              "type": "string",
              "enum": [
                "personal",
                "generic"
              ],
              "enumTitles": [
                "Personal work addresses",
                "Generic company inboxes"
              ]
            },
            "default": [
              "personal"
            ]
          },
          "maxTotalResults": {
            "title": "Maximum total results",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "A hard ceiling on the number of rows containing an email address, across both person and company results. This is the one setting that bounds what a run can cost you.\n\nIt is enforced before the provider is called, so inputs beyond the ceiling are never paid for. Rows explaining a miss, an error or an empty company are always returned and never count towards it.",
            "default": 1000
          },
          "verifyEmails": {
            "title": "Double-check every email (extra cost)",
            "type": "boolean",
            "description": "Off by default. Every address already arrives with the verification status the provider recorded when it indexed the address — `valid`, `accept_all`, `webmail` or `unknown` — and that costs you nothing extra.\n\nTurn this on to re-check each address live instead, which adds SMTP-level detail (MX records, SMTP check, catch-all, disposable, gibberish) and a fresh per-address score. It is charged as its own event, once per address checked. Worth it before sending to a list that has been sitting for a while.\n\n**On an accept-all domain it cannot change the verdict.** Those mail servers accept every address, so no live check can confirm one mailbox — the status stays `accept_all` and `isVerified` stays false, however high the score. You still get the SMTP detail and a per-address score that varies where the indexed confidence score does not, which is the only signal available for ranking contacts at such a domain. Decide with that in mind, because you are charged per address either way.",
            "default": false
          },
          "includeSummary": {
            "title": "Save a run summary",
            "type": "boolean",
            "description": "Write a SUMMARY record to the key-value store with input counts, outcomes, provider call counts and billing totals. It is never mixed into the dataset, so it cannot pollute your results.",
            "default": true
          }
        }
      },
      "runsResponseSchema": {
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
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                "type": "string",
                "format": "date-time",
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              },
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                    "example": 300
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