Sales & Prospecting
Half your prospect list already bounces
B2B contact data decays at roughly 30% per year, according to industry estimates from HubSpot and Gartner. People get promoted, change companies, and shut down old inboxes. Every month you wait, your pipeline gets thinner. Spider pulls contacts straight from live company websites so your outreach actually reaches someone.
What happens to 10,000 contacts over time
Industry estimates (HubSpot, Gartner) put annual B2B data decay around 30%. That means nearly a third of your purchased list is dead weight within twelve months.
What live extraction looks like
Point Spider's AI extraction at any company domain. It reads every public page, identifies the people, and returns structured contact data with the source URL attached. Results vary by site; extraction depends on what each company publishes publicly.
Why this beats a contact database
Your leads, nobody else's
ZoomInfo and Apollo sell the same contacts to every competitor in your market. When you extract directly from a company's website, that data is exclusive. Nobody else is working the same list because nobody else ran the same crawl.
Context for personalization
Every contact comes with the source URL where it was found. "Saw you're hiring a DevOps lead" hits differently than a generic cold email. Page context turns a spray-and-pray sequence into a conversation starter.
Pennies per company, not $15K/yr
A mid-tier database seat runs $15K+ per year for data that starts decaying the day you buy it. Spider charges per crawl based on bandwidth and compute , and AI extraction runs through an AI Studio subscription starting at $6/mo. Crawl 1,000 company websites for a few dollars of compute, plus your AI plan. Scale month to month, cancel anytime.
From target list to pipeline in three steps
Target
Feed Spider a list of company domains. CSV upload, direct API call, or a webhook trigger from your CRM when a new account enters your pipeline. Thousands of URLs in a single batch.
Extract
Spider crawls each site and uses AI to pull emails, phone numbers, job titles, and social profiles from public pages. Coverage depends on what each company publishes. Team pages and about pages tend to yield the most; some sites list only a general contact form.
Deliver
Spider POSTs structured JSON to your webhook endpoint as contacts are discovered. You can also route results to S3, Google Cloud Storage, Google Sheets, or Supabase via built-in data connectors . From there, pipe into HubSpot, Salesforce, or your enrichment pipeline with a lightweight script.
Batch extract with webhook delivery
Pass your target domains, set a webhook URL, and walk away. Spider crawls each company, extracts contacts with AI, and POSTs page results to your endpoint as they finish. You parse the structured JSON on your side and push contacts to your CRM.
from spider import Spider
spider = Spider()
# Batch extract contacts from target companies
targets = [
"https://acme.com",
"https://globex.io",
"https://initech.dev",
# ... hundreds more
]
for domain in targets:
result = spider.ai_crawl(
url=domain,
prompt="Extract emails, phone numbers, job titles, LinkedIn profiles",
params={
"limit": 50,
"webhook": "https://yourapp.com/api/new-lead",
}
)