Should I use a service that delivers scraped data into webhooks or databases?

It depends on what you want to do with the data, but here’s the practical rule of thumb:

Use webhooks if you want:

• Real-time delivery of each new result
• To trigger downstream automation immediately
• To send data into an existing pipeline/service as events
• Simpler event-driven architecture

Good for: alerts, workflows, integrations, lightweight processing.

Use a database if you want:

• Storage and querying of large volumes of scraped data
• Deduplication, history, analytics, reporting
• Reprocessing data later
• A durable source of truth

Good for: dashboards, search, analytics, long-term storage, batch processing.

Best choice in many cases: both

A common pattern is:

1. Scraper sends data to a database
2. Database changes or ingestion events trigger webhooks
3. Downstream systems react to those events

Or the reverse:

1. Webhook receives new scraped item
2. Your service validates/transforms it
3. It writes to your database

Decision shortcut

• Need instant action? → Webhooks
• Need storage and analysis? → Database
• Need reliability and flexibility? → Both

Important consideration

If the scraped data is noisy or high-volume, sending everything through webhooks can be fragile unless you have:

• retry handling
• idempotency
• rate limiting
• queueing/buffering

If you tell me your use case, I can recommend the better option more specifically.