SaaS Pricing & Terms Monitor API

Track arbitrary websites for stealthy modifications and automatically extract structured text diffs using this reliable web scraper. Business intelligence teams and product managers can schedule recurring data fetches to keep a close eye on competitor SaaS pricing pages, Terms of Service updates, or user policy shifts without writing custom scraping logic. By crawling provided URLs using an automated browser, the actor strips away superficial layout noise, captures clean text data, takes SHA256 snapshots, and compares historical states to pinpoint exact changes.

Run this website monitoring tool on a daily or weekly schedule to catch unannounced price hikes or compliance shifts across the web. Instead of manually checking target pages or running google search queries for cached versions, you can rely on this scraper to detect real modifications. When a page updates, instantly trigger webhook alerts to notify Ops teams or send email digests.

The extracted results isolate the precise details of what changed, providing specific structured fields like previousHash, currentHash, addedContent, and removedContent. This ensures your downstream tools only process meaningful text updates. Safely track scraped data from critical websites, integrate the findings into your analytics dashboards, and export the exact diffs to stay ahead.

Store Quickstart

• Start with store-input.example.json for a proven three-page first run.
• If that output fits, switch to store-input.templates.json and pick one of:
• Quickstart Pricing Monitor for the cheapest first success
• Pricing + Terms + Features for broader daily monitoring
• Webhook Alert for Slack, Discord, or internal pipelines

Key Features

• • **複数ターゲット監視 (price|terms|features|general** — 複数ターゲット監視 (price|terms|features|general`)
• • テキスト抽出 + SHA256スナップショット管理 — テキスト抽出 + SHA256スナップショット管理
• • 変更サマリ（追加/削除行） — 変更サマリ（追加/削除行）
• • Apify KV が使えない環境でもローカル state/ にフォールバック — Apify KV が使えない環境でもローカル state/ にフォールバック

Use Cases

Who	Why
Developers	Automate recurring data fetches without building custom scrapers
Data teams	Pipe structured output into analytics warehouses
Ops teams	Monitor changes via webhook alerts
Product managers	Track competitor/market signals without engineering time

Input

Field	Type	Default	Description
targets	array	prefilled	List of targets. Each item supports id, name, kind, url, includePatterns, excludePatterns, maxChars, fixtureHtml, fixtur
requestTimeoutSeconds	integer	30	HTTP request timeout per target.
userAgent	string	—	Optional user-agent header for target requests.
maxChars	integer	25000	Upper bound for extracted text length.
delivery	string	"dataset"	Where to send run results.
datasetMode	string	"changes_only"	Choose whether dataset/webhook sends all targets or only event items.
webhookUrl	string	—	Required when delivery is webhook.
notifyOnNoChange	boolean	false	When false, webhook mode skips if no event items.

Input Example

{
  "targets": [
    {
      "id": "notion-pricing",
      "name": "Notion Pricing",
      "kind": "price",
      "url": "https://www.notion.so/pricing",
      "includePatterns": [
        "price",
        "free",
        "business",
        "enterprise"
      ],
      "excludePatterns": [
        "cookie",
        "login"
      ]
    }
  ],
  "requestTimeoutSeconds": 30,
  "maxChars": 25000,
  "delivery": "dataset",
  "datasetMode": "changes_only",
  "notifyOnNoChange": false,
  "snapshotKey": "saas-change-monitor-snapshots",
  "dryRun": false
}

Output

Field	Type	Description
meta	object
results	array
results[].id	string
results[].name	string
results[].kind	string
results[].url	string
results[].capturedAt	timestamp
results[].changed	boolean
results[].status	string
results[].hash	string
results[].previousHash	string
results[].previousCapturedAt	string
results[].lineCount	number
results[].changeSummary	object
results[].preview	string
results[].error	string
results[].finalUrl	string

Output Example

{
  "meta": {
    "generatedAt": "2026-03-13T09:40:25.990Z",
    "now": "2026-03-13T09:40:25.951Z",
    "input": {
      "targets": [
        {
          "id": "notion-pricing",
          "name": "Notion Pricing",
          "kind": "price",
          "url": ""
        },
        {
          "id": "linear-terms",
          "name": "Linear Terms",
          "kind": "terms",
          "url": ""
        }
      ],
      "requestTimeoutSeconds": 30,
      "maxChars": 25000,
      "delivery": "dataset",
      "datasetMode": "all",
      "dryRun": false
    },
    "snapshot": {
      "key": "saas-change-monitor-proof-sample",
      "loadedFrom": "local",
      "savedTo": "local"
    },
    "warnings": [
      "target(notion-pricing): includePatterns is empty, full-page text will be monitored",
      "target(linear-terms): includePatterns is empty, full-page text will be monitored"
    ],
    "totals": {
      "targets": 2,
      "changed": 0,
      "initial": 2,
      "unchanged": 0,
      "errors": 0

API Usage

Run this actor programmatically using the Apify API. Replace YOUR_API_TOKEN with your token from Apify Console → Settings → Integrations.

cURL

curl -X POST "https://api.apify.com/v2/acts/taroyamada~saas-change-monitor-actor/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "targets": [ { "id": "notion-pricing", "name": "Notion Pricing", "kind": "price", "url": "https://www.notion.so/pricing", "includePatterns": [ "price", "free", "business", "enterprise" ], "excludePatterns": [ "cookie", "login" ] } ], "requestTimeoutSeconds": 30, "maxChars": 25000, "delivery": "dataset", "datasetMode": "changes_only", "notifyOnNoChange": false, "snapshotKey": "saas-change-monitor-snapshots", "dryRun": false }'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("taroyamada/saas-change-monitor-actor").call(run_input={
  "targets": [
    {
      "id": "notion-pricing",
      "name": "Notion Pricing",
      "kind": "price",
      "url": "https://www.notion.so/pricing",
      "includePatterns": [
        "price",
        "free",
        "business",
        "enterprise"
      ],
      "excludePatterns": [
        "cookie",
        "login"
      ]
    }
  ],
  "requestTimeoutSeconds": 30,
  "maxChars": 25000,
  "delivery": "dataset",
  "datasetMode": "changes_only",
  "notifyOnNoChange": false,
  "snapshotKey": "saas-change-monitor-snapshots",
  "dryRun": false
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('taroyamada/saas-change-monitor-actor').call({
  "targets": [
    {
      "id": "notion-pricing",
      "name": "Notion Pricing",
      "kind": "price",
      "url": "https://www.notion.so/pricing",
      "includePatterns": [
        "price",
        "free",
        "business",
        "enterprise"
      ],
      "excludePatterns": [
        "cookie",
        "login"
      ]
    }
  ],
  "requestTimeoutSeconds": 30,
  "maxChars": 25000,
  "delivery": "dataset",
  "datasetMode": "changes_only",
  "notifyOnNoChange": false,
  "snapshotKey": "saas-change-monitor-snapshots",
  "dryRun": false
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Tips & Limitations

• Schedule weekly runs for procurement watchlists; daily for critical vendors.
• Use webhook delivery to drop diffs into a shared procurement Slack channel.
• Track competitor pricing quarterly to inform your own pricing strategy.
• Store snapshots persistently — these are valuable for contract renegotiation evidence.
• Combine with vendor-change-monitor for term-level changes alongside pricing.

FAQ

How are diffs computed?

Semantic diff on structured fields (prices, plan names, feature tables) rather than raw HTML — filters out cosmetic changes.

What happens if a vendor redesigns their site?

The actor falls back to best-effort structured extraction; material redesigns may require a vendor-specific adapter update.

Can I track changes to downloadable contracts/PDFs?

The actor tracks content text; PDF-only vendors with dynamic URLs may require manual review.

Does this bypass anti-bot measures?

No — it uses standard requests. Some vendors with aggressive bot protection may not be monitorable; report these issues and we'll adjust fetch strategy.

Can I monitor internal portals?

No — this actor is public-web only. Internal portals with auth are out of scope.

Related Actors

SaaS & Vendor Monitoring cluster — explore related Apify tools:

• SaaS / Company Site Change Monitor Pro — Premium monitor for pricing, terms, and feature page diffs with dataset/webhook delivery.
• Vendor Pricing, Terms & Renewal Watch API — Monitor vendor pricing changes, terms-of-service updates, renewal language, privacy / DPA policy diffs, and procurement / vendor-risk alerts with one summary-first vendor digest per monitored vendor.
• Vendor Status Page & Incident Digest Monitor — Monitor public vendor status pages and incident feeds.

Cost

Pay Per Event:

• actor-start: $0.01 (flat fee per run)
• dataset-item: $0.003 per output item

Example: 1,000 items = $0.01 + (1,000 × $0.003) = $3.01

No subscription required — you only pay for what you use.

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