Pricing
Pay per usage
Hiring Signal Scraper
Scrapes ATS job boards (Greenhouse, Ashby, Workable), enriches with Apollo, scores hiring urgency, and outputs decision maker contacts.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Actor stats
0
Bookmarked
6
Total users
1
Monthly active users
3 months ago
Last modified
Categories
Share
Built by Tise Ogundeji
Find companies that are actively hiring, score how urgently they need people, and get the decision maker's name and email — all in one click.
What It Does
- Scrapes real job boards (Greenhouse, Ashby, Workable) for open positions
- Filters to US-based roles only
- Scores each company's hiring urgency from 0-100
- Finds the VP of Engineering / CTO / Head of Recruiting with a verified email (via Apollo)
- Outputs everything as a clean dataset you can export to CSV, JSON, or connect to your CRM
Quick Start (3 Steps)
Step 1: Paste your Apollo API key
Put your Apollo.io API key in the first field. This unlocks decision maker contacts, company size, and revenue data. No key? The scraper still works — you just won't get contact info.
Step 2: Set your filters
- Role: Type the role you're looking for (e.g. "AI Engineer", "Sales", "Product Manager")
- Industry: Type one or more industries separated by commas (e.g. "AI, Fintech")
- Company Size: Pick a range from the dropdown
- Leave anything blank to skip that filter
Step 3: Click Start
Results appear in the Dataset tab. Export as CSV or JSON.
What You Get
Each result includes:
| Field | Description |
|---|---|
| Company Name | Company name |
| Company URL | Company website |
| Industry | Industry from Apollo |
| Employees | Employee count |
| Revenue | Annual revenue |
| Total Open Roles | All open positions |
| US Roles | US-based positions only |
| Role Match Count | Positions matching your role search |
| Signal Score | Hiring urgency score (0-100) |
| Urgency | High, Medium, or Low |
| Decision Maker | Name of VP Engineering / CTO / Head of Recruiting |
| Decision Maker Email | Verified business email |
| Decision Maker Title | Their job title |
| Decision Maker LinkedIn | LinkedIn profile URL |
How Scoring Works
Companies are scored 0-100 based on:
- Number of open roles
- How many departments are hiring
- How many US locations they're hiring in
- How many roles match your target keywords
- Whether the same job title is posted multiple times (urgency signal)
- Hiring-to-headcount ratio (if Apollo data is available)
High (75-100): Company is aggressively hiring. Strong demand signal. Medium (50-74): Active hiring. Worth reaching out. Low (0-49): Some hiring activity. Lower priority.
Tips
- Save Apollo credits: Set "Enrichment Score Threshold" to 50+ so you only spend credits on companies with real hiring urgency
- Cap results: Set "Max Results" to 10 or 25 to get only the top companies by score
- Add your own companies: Edit the Company List JSON. You just need
{"name": "Company Name"}at minimum - Auto-discover companies: Set "Where to Find Companies" to "b" or "both" to find companies from RemoteOK, Jobicy, and Y Combinator
- Schedule daily runs: Go to Schedules tab and set a cron — fresh data every morning
Data Sources
| Source | What It Provides |
|---|---|
| Greenhouse Directory | 540+ known tech companies using Greenhouse |
| Greenhouse API | Job postings scraped from each company's board |
| Ashby Directory | 75+ known startups using Ashby |
| Ashby API | Job postings scraped from each company's board |
| Workable API | Job postings |
| RemoteOK API | Company discovery (remote jobs) |
| Jobicy API | Company discovery (remote jobs) |
| YC OSS API | Company discovery (Y Combinator startups) |
| Apollo API | Company size, revenue, industry, decision maker contacts |
ConnectorOS Compatible
The dataset includes ConnectorOS-ready columns: Company Name, Signal, Website, Industry, Location, Contact Name, Job Title, Email, Keywords. Export as CSV and import directly.
Built by Tise Ogundeji | Hiring Signal Scraper v1.0
