Sales & Prospecting
Your prospect list shouldn't be 3 months stale
Contact databases decay at 30% per year. Spider extracts emails, phone numbers, and company details directly from live websites so your pipeline always has current, verified data.
Contact databases
- $15K/yr for data that decays 30% annually
- Bounce rates climb as people change roles and companies
- Same leads as every other team using the same vendor
- Manual SDR research costs $50+/hr and does not scale
Live extraction
- Extract contacts directly from any company's website
- AI identifies emails, phones, socials, and job titles in context
- Process thousands of domains in a single batch request
- Fresh data from the source, not a static database snapshot
Built for sales teams that move fast
AI-Powered Extraction
Spider uses AI to identify emails, phone numbers, job titles, and social profiles in context. No brittle regex patterns that break when page layouts change.
Bulk Domain Processing
Submit thousands of target domains in a single batch request. Spider crawls them in parallel and returns structured contact data as results finish.
Fresh Data, Every Time
Contacts are extracted live from websites, not pulled from a database that was last updated months ago. You get what is on the page right now.
Webhook Delivery
Push extracted contacts directly into your CRM or enrichment pipeline via webhooks. New leads flow in the moment they are discovered.
Source Attribution
Every contact includes the exact URL where it was found. Verify accuracy, add context to your outreach, and track which sources produce the best leads.
Anti-Bot Bypass
Company websites increasingly run bot detection. Spider rotates fingerprints, renders JavaScript, and handles CAPTCHAs with a 99.9% success rate.
Extract contacts in a few lines
Use the extract contacts pipeline to pull structured contact data from any website. Spider crawls the site, identifies contacts with AI, and returns clean records with source URLs.
from spider import Spider
client = Spider()
# Extract contacts from a company website
result = client.extract_contacts(
"https://acme.com",
params={
"limit": 50,
"return_format": "json",
}
)
# Structured contact records with source URLs
for contact in result["contacts"]:
print(contact["email"], contact["source"])
push_to_crm(contact)