Job Postings Scraper — with Company Size & Repost Detection

The only job scraper that tells you how big the company is and how long they've been trying to fill the role.

Scrapes job listings from Google Jobs — which aggregates Indeed, LinkedIn, Glassdoor, ZipRecruiter, and company career pages into one search. No need to scrape 5 different boards.

What makes this different

Every other job scraper on Apify gives you the same data: title, company, location, description. This one adds three things no one else has:

1. Company Size

Optionally enriches each company with employee count via Apollo (free tier works). Filter your results to target the exact company stage you care about — Series A startups (11-50) or enterprise (10,000+).

2. Repost Detection

Calculates how long each job has been listed and how many boards it appears on. A VP of Sales role that's been open for 45 days and posted on 4 boards? That company cannot fill this role. That's when you call.

3. Hiring Urgency Score

Every listing gets an urgency classification:

• critical — 30+ days open OR 4+ sources (they're desperate)
• high — 14-29 days OR 3 sources
• normal — 3-13 days
• fresh — under 3 days (just posted)

Output

Field	Description	Example
job_title	Role being hired	VP of Sales
company_name	Hiring company	Acme Corp
company_size	Employee count range	51-200
company_domain	Company website	acme.com
location	Job location	New York, NY
salary_range	Salary if listed	$150,000 - $200,000/year
date_posted	When posted	3 days ago
days_listed	Days since posting	3
hiring_urgency	Urgency classification	fresh / normal / high / critical
is_likely_repost	Repost signal	true/false
source_count	Number of boards listing this	3
sources	Which boards	Indeed, LinkedIn, Glassdoor
description	Full job description	...
apply_url	Direct apply link	https://...
employment_type	Full-time, Contract, etc.	Full-time
remote	Remote work available	true/false

Use cases

Sales teams & connectors

Hiring signals = buying signals. A company hiring a VP of Sales needs sales infrastructure. A company hiring Head of DevOps is scaling. Use hiring data to time your outreach perfectly — reach out when they're actively building the team that needs your solution.

Recruiters

Find roles that have been open the longest (highest urgency). These companies are most likely to pay recruiting fees. Filter by company size to target your sweet spot.

Competitive intelligence

Track what roles your competitors are hiring for. A competitor suddenly hiring 5 ML engineers? They're building something. 10 sales reps? They're expanding.

Market research

Map hiring trends across an industry. Which roles are hardest to fill? Where is demand outpacing supply? The repost detection turns raw job listings into market intelligence.

Connector OS integration

Feed the dataset into Connector OS Station for automated market matching. Companies that are hiring are companies that are buying — every job posting is a demand signal. The scraper output plugs directly into the Connector OS I Layer for evaluation against your supply network.

Flow: Search jobs → Get Dataset ID → Paste into Station → Match against your supply → Get scored introductions.

Input options

Field	Required	Description
searchQuery	Yes	Job title or keywords ("VP of Sales", "DevOps Engineer")
location	No	City, state, or "Remote"
datePosted	No	Time filter: today, 3days, week, month (default: week)
maxListings	No	Max results (default: 100)
apolloApiKey	No	Apollo.io API key for company size enrichment (free tier works)
proxyConfig	No	Proxy config — residential proxies recommended for Google

Getting an Apollo API key (free)

1. Sign up at apollo.io (free plan)
2. Go to Settings → API Keys
3. Copy your key and paste it in the apolloApiKey field

The free tier gives you 10,000 API credits/year — more than enough for job scraping.

Cost

Typical runs use ~0.05-0.10 compute units depending on result count. Google Jobs searches with 100 results take about 1-2 minutes.