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Saas Changelog Monitor

Pricing

from $1.50 / 1,000 changelog checkeds

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Saas Changelog Monitor

Saas Changelog Monitor

Monitor public SaaS changelogs for new product updates and release entries, with normalized output for alerts and competitive intelligence.

Pricing

from $1.50 / 1,000 changelog checkeds

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Developer

Automation Tech

Automation Tech

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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SaaS Changelog Monitor extracts stable product-update entries from public SaaS changelog pages for scheduled monitoring. It is intended for teams that want structured visibility into vendor changes, feature launches, and product updates without manually checking multiple changelog pages.

What it does

The Actor crawls configured public changelog pages, extracts supported changelog entries, normalizes the results, and writes stable records to the default Apify dataset. The output is designed for repeatable monitoring and downstream automation rather than raw HTML archiving.

Typical use cases include:

  • monitoring competitor product launches;
  • tracking updates from important software vendors;
  • collecting changelog entries for market or product research;
  • feeding new updates into alerts, summaries, or internal dashboards;
  • scheduling recurring product-intelligence checks through Apify.

Quick start

  1. Add one or more supported public SaaS changelog URLs to the Actor input.
  2. Keep request and result limits conservative for the first run.
  3. Run the Actor and inspect the default dataset.
  4. Confirm that titles, links, dates, and extracted update content match the source page.
  5. Tune the available source-specific controls if the page requires them.
  6. Once verified, schedule recurring runs or call the Actor through the Apify API.

The Input tab also includes shared crawler settings for request limits, retries, concurrency, timeouts, and proxy configuration.

Output

Each dataset item represents a normalized changelog or product-update entry together with source and scrape metadata. The Actor's dataset schema defines the exact fields and types. Results can be exported from Apify as JSON, CSV, or Excel or consumed directly through the dataset API.

Scheduling and integrations

Use an Apify schedule to check changelog pages at an interval that makes sense for the vendors you track. Connect new records to webhooks, Make, Zapier, databases, notification systems, summarization workflows, or other Actors.

Limitations

Public changelog pages are not standardized. Page structure, pagination, timestamps, and article formatting can change without notice, and some vendors may move updates behind client-side applications or authentication. Verify each target source and review it again if extraction quality changes.

Pricing

The active pricing model and current rates are shown in the Actor's Apify Store Pricing tab. Platform usage depends on the number and complexity of pages, retries, proxy use, and run frequency. Test representative sources before enabling large or high-frequency scheduled monitoring.