Decision Maker Name & Email Extractor

Add the websites you want to extract contact information from. The actor will crawl these sites and discover decision makers and their email addresses.

Examples:

• 'https://company.com'
• 'https://startup.io'
• 'https://agency.co'.

Select which types of decision makers you want to find. Choose from predefined categories based on seniority and role.

Examples:

• C-Suite: CEO, CTO, CFO, CMO
• Department Heads: VP Marketing, Head of Sales
• Founders: Founder, Co-founder, Owner

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'.

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).

How many clicks away from the starting page should the actor go?

Examples:

• '1' = Only direct links from homepage
• '2' = Homepage → About → Team pages
• '3' = Homepage → About → Team → Individual profiles

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.

Recommended: 50-100 pages for most websites.

Keywords that help the actor find the most relevant. Pages containing these words in their URL will be crawled with higher priority.

Examples:

• 'team', 'about', 'staff', 'leadership'
• 'contact', 'people', 'management'
• 'founders', 'executives', 'board'

Tip: 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'

Choose how to use your custom job titles list

Add specific job titles you want to find. Be as specific as possible for better results.

Tips:

• Use exact titles: 'Head of Marketing' not 'marketing head'
• Include variations: 'VP Sales', 'Vice President of Sales'
• Consider industry terms: 'Growth Hacker', 'DevOps Engineer'

Set the Request Headers that will be used by the scraper.

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.

Specifies proxy servers that will be used by the scraper in order to hide its origin.