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Decision Maker Name & Email Extractor

Pricing

$15.00/month + usage

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Decision Maker Name & Email Extractor

Decision Maker Name & Email Extractor

Developed by

Dominic M. Quaiser

Dominic M. Quaiser

Maintained by Community

An actor that crawls a website to identify key decision‑maker names and job titles, then uses NER‑powered matching to extract and pair their email addresses for streamlined lead generation and B2B data enrichment.

1.0 (2)

Pricing

$15.00/month + usage

5

Total users

33

Monthly users

33

Runs succeeded

>99%

Last modified

10 days ago

You can access the Decision Maker Name & Email Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"type": "array",
"description": "Add the websites you want to extract contact information from. The actor will crawl these sites and discover decision makers and their email addresses.\n\nExamples:\n- 'https://company.com'\n- 'https://startup.io'\n- 'https://agency.co'.",
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"jobTitles": {
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"uniqueItems": true,
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"description": "Select which types of decision makers you want to find. Choose from predefined categories based on seniority and role.\n\nExamples:\n- C-Suite: CEO, CTO, CFO, CMO\n- Department Heads: VP Marketing, Head of Sales\n- Founders: Founder, Co-founder, Owner",
"items": {
"type": "string",
"enum": [
"C‑Suite",
"Board & governance",
"Founders & ownership",
"Presidents & directors",
"Department heads & managers",
"Leads & supervisors",
"Senior executives",
"Functional decision makers"
]
}
},
"explorationMode": {
"title": "Exploration Mode",
"enum": [
"restricted",
"deep"
],
"type": "string",
"description": "Choose how thoroughly the actor should explore each website. When left empty, it uses the reconfigured keywords. You can see which ones are used in the 'README'.",
"default": "restricted"
},
"emailSearchMode": {
"title": "Email Search Mode",
"enum": [
"thorough",
"targeted"
],
"type": "string",
"description": "Choose how the scraper should search for emails. 'Thorough' will search all visited pages up to the page limit. 'Targeted' will only search for emails on pages that are likely to contain contact information (e.g., pages with 'contact', 'team', 'about' in the URL).",
"default": "thorough"
},
"depth": {
"title": "Maximum Page Depth",
"type": "integer",
"description": "How many clicks away from the starting page should the actor go?\n\nExamples:\n- '1' = Only direct links from homepage\n- '2' = Homepage → About → Team pages\n- '3' = Homepage → About → Team → Individual profiles",
"default": 3
},
"pagecount": {
"title": "Page Limit per Website",
"type": "integer",
"description": "Maximum number of pages to visit on each website. Higher numbers find more contacts but take longer and cost more. The crawler prioritizes links that are most likely to yield better results.\n\nRecommended: 50-100 pages for most websites.",
"default": 50
},
"priorityLinkKeywords": {
"title": "Priority Page Keywords",
"uniqueItems": true,
"type": "array",
"description": "Keywords that help the actor find the most relevant. Pages containing these words in their URL will be crawled with higher priority.\n\nExamples:\n- 'team', 'about', 'staff', 'leadership'\n- 'contact', 'people', 'management'\n- 'founders', 'executives', 'board'\n\nTip: when you have two or more word inputs write them as they would be found in the URLs, for exemplar don't write 'contact staff' instead write 'contact-staff'",
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"type": "string"
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},
"useCstomJobTitles": {
"title": "Custom Job Titles Mode",
"enum": [
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"add_custom_job_titles"
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"type": "string",
"description": "Choose how to use your custom job titles list"
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"customJobTitles": {
"title": "Custom Job Titles",
"uniqueItems": true,
"type": "array",
"description": "Add specific job titles you want to find. Be as specific as possible for better results.\n\nTips:\n- Use exact titles: 'Head of Marketing' not 'marketing head'\n- Include variations: 'VP Sales', 'Vice President of Sales'\n- Consider industry terms: 'Growth Hacker', 'DevOps Engineer'",
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"type": "string"
}
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"title": "Default Request Headers",
"type": "object",
"description": "Set the Request Headers that will be used by the scraper."
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"languageCountryCode": {
"title": "Language Country Code",
"type": "string",
"description": "The country codes are used to restrict the actor to english websites. If you want to scrape non-Entlsh pages you can edit those to get the results you want. You can find instructions in the README for non-English searches."
},
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"title": "Proxy Configuration",
"type": "object",
"description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.",
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"apifyProxyGroups": [
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"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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}

Decision Maker Contact Name Finder & Email Extractor OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Decision Maker Name & Email Extractor from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

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