Pricing
$15.00/month + usage
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
52
28
Last modified
19 days ago
startUrlsarrayRequired
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:
Default value of this property is [{"url":"https://apify.com/"}]
jobTitlesarrayOptional
Select which types of decision makers you want to find. Choose from predefined categories based on seniority and role.
Examples:
explorationModeEnumOptional
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'.
"restricted": string"deep": stringDefault value of this property is "restricted"
emailSearchModeEnumOptional
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).
"thorough": string"targeted": stringDefault value of this property is "thorough"
depthintegerOptional
How many clicks away from the starting page should the actor go?
Examples:
Default value of this property is 3
pagecountintegerOptional
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.
Default value of this property is 50
priorityLinkKeywordsarrayOptional
Keywords that help the actor find the most relevant. Pages containing these words in their URL will be crawled with higher priority.
Examples:
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'
useCstomJobTitlesEnumOptional
Choose how to use your custom job titles list
"only_custom_job_titles": string"add_custom_job_titles": stringcustomJobTitlesarrayOptional
Add specific job titles you want to find. Be as specific as possible for better results.
Tips:
defaultRequestHeadersobjectOptional
Set the Request Headers that will be used by the scraper.