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Outbound Agent

Signal Scraper

Get Started
$git clone https://github.com/janskuba/outbound-agents.git
About

The Signal Scraper accepts company names alone, researches missing data via web search, then extracts and flags actionable buying signals (funding, hiring, news) with full context. It auto-enriches sparse CSVs so you never have to manually research companies again.

Input / Output
IN

Input

CSV with company names (minimum). Optional: industry, employee_count, job_postings, recent_news, tech_stack, funding_info, linkedin_activity.

OUT

Output

Enriched company data + buying signals with type, strength, and recommended outreach angle.

0-enriched.csv → 1-signals.csv
Key Features
5 features
01

Auto-enriches missing data via web search

02

Detects funding rounds, hiring signals, and news

03

Flags actionable buying signals with context

04

Outputs one row per signal with recommended angle

05

Skips enrichment if data is already complete