How Apify Replaced 300 per Month in Data Costs and 10 Hours of Weekly Manual Work.
March 10, 2026

How Apify Replaced 300 per Month in Data Costs and 10 Hours of Weekly Manual Work.

Paul Abraham | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Apify

We use Apify primarily for web scraping and data extraction tasks that feed into our n8n-based automation workflows. Our use case spans a few areas: extracting property listings for clients, enriching lead data for CRM pipelines, and scraping job boards and business directories for outreach campaigns. Apify handles the heavy lifting of bypassing anti-scraping measures and managing large-scale crawls, which would otherwise take significant engineering effort to maintain ourselves.

Pros

  • Handling sites that hate scrapers.
  • Scaling without managing infrastructure.
  • Scheduling and webhooks.

Cons

  • Credit based pricing is hard to predict.
  • Debugging failed runs.
  • Scheduling lacks flexibility
  • Time-to-delivery dropped by ~70% on data projects.
  • Recovered roughly 8–10 hours per week in manual effort.
  • Enabled a new product category.
The platform covered all the basics correctly.

Do you think Apify delivers good value for the price?

Yes

Are you happy with Apify's feature set?

Yes

Did Apify live up to sales and marketing promises?

No

Did implementation of Apify go as expected?

Yes

Would you buy Apify again?

Yes

Recurring, production-grade data pipelines. This is where Apify shines most. If you need fresh lead data from Google Maps every Monday or daily property listings from a real estate portal, Apify handles it reliably with scheduling, proxy rotation, and structured output. Once the Actor is set up and connected to your n8n workflow, it essentially runs itself.

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