Monitoring Checker Schema

apify/monitoring-checker-schema

The monitoring checker schema is a part of the Apify Monitoring Suite (apify/monitoring). See its readme for more information and how to use this.

Compare two Apify datasets or track one dataset between runs. Emit only added, removed, and changed records with exact changed fields.

Pinduoduo Product Scraper & Price Tracker

quanmatrix/pinduoduo-commerce-intelligence

Inspect public Pinduoduo recommendation products, preserve source links and compare CNY price snapshots to identify changes worth checking. Output: Product IDs, titles, URLs, available price fields and repeat-run differences.

Web Drift Detector – Website Change Monitoring & Content Diff

muhammad-bilal/web-drift-detector

Detect website changes automatically. Monitor pricing, content, policies, and competitors using fast browserless web change detection. Structured diffs, severity scoring, historical snapshots, and webhook alerts. Ideal for compliance, SaaS, ecommerce, and monitoring workflows.

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

Monitoring

apify/monitoring

This actor monitors your actors' statuses, validates their datasets' data, and displays useful information in an interactive dashboard. And if something happens, you'll get notified via email or Slack.

Dataset Toolbox

cyberfly/dataset-toolbox

Perform common actions on datasets - merge, unify, validate, transform, order fields etc.

Detect added, removed and type-changed fields in JSON API responses with persistent baselines and breaking-change flags.

Output to Dataset

njoylab/apify-output-to-dataset

Merges outputs from multiple actors into a single dataset. Execute actors in series or parallel, combine data from datasets, key-value stores, webhooks, and export the final output in various formats.

Dataset Contract & Regression Tester

gifted_wagon/dataset-contract-tester

Test Apify datasets against versioned contracts. Catch missing and extra fields, type and nullability drift, duplicate keys, and breaking schema changes with CI-ready evidence.