How to Scrape Data From Apps That Have No API

Web scraping is a solved problem. But a surprising amount of valuable data lives only inside mobile apps — prices, listings, messages, availability, internal dashboards — with no web version and no public API to call. Reading the screen on a real device reaches that data directly. This guide covers how it works, how to get structured output, how to schedule it, and how to stay on the right side of the rules.

Why mobile-only data is hard the usual way

The traditional options are all fragile. Reverse-engineering a private API means decompiling traffic and chasing endpoints that change without notice and may be legally fraught. Intercepting network calls breaks on certificate pinning. And neither works when the data is computed and rendered only on the client. Reading the rendered screen sidesteps all of that.

How screen-level extraction works

The agent opens the app, navigates to where the data lives, reads it from the screen (text content plus layout), and returns it. Because it acts as a real user on a real device, there is no private API to reverse-engineer and no fragile network interception to maintain. If a person can see the data, the agent can read it.

Getting structured output

Ask for the shape you want. A prompt like "read the top 10 listings and return title, price, and rating for each as JSON" yields structured data you can store or pipe downstream. The learned plan then makes repeat extractions fast and free, so you can run them frequently.

curl -X POST https://relay.auten.ai/v1/tasks \
  -H "Authorization: Bearer sk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "device_serial": "<serial>",
    "prompt": "Open the marketplace app, search \"road bike\", and return the title, price and seller for the first 10 results as JSON"
  }'

Good fits

• Marketplace and delivery apps with mobile-only listings or prices
• Internal or legacy apps with no export feature
• Monitoring availability or prices that only change in-app
• Aggregating data from apps that actively block web access

Scheduling and scale

Pair extraction with hosted virtual devices that run 24/7, and schedule recurring runs. Because cached plans cost nothing to replay, monitoring use cases — price tracking, availability alerts, inventory checks — stay cheap even at high frequency. Spread load across several devices when you need throughput.

Frequently asked questions

Is mobile app scraping legal?

It depends on the app's terms, the data, and your jurisdiction. Scraping data you are authorized to access is generally safer than collecting protected or personal data. Treat this as a technical guide, not legal advice.

How do I get the data as JSON?

Ask for it in the prompt ("return ... as JSON"). The agent extracts the fields you name and returns structured output.

Will the app know it is being automated?

You act as a real user on a real (or full hosted) device, which is far less detectable than emulators — but hardened apps may still have defenses. Test your target first.

Can I run extractions on a schedule?

Yes. Use hosted virtual devices that are always on, and trigger tasks on your schedule; cached replays keep recurring runs cheap.