# SaaS Pricing Scraper (`mighty_monk/saas-pricing-scraper`) Actor

Extract SaaS pricing plans from pricing pages. Returns plan name, monthly/yearly price, billing period, features, and CTA text using JSON-LD, data attributes, and DOM heuristics.

- **URL**: https://apify.com/mighty\_monk/saas-pricing-scraper.md
- **Developed by:** [Harsh](https://apify.com/mighty_monk) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 pricing plans

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SaaS Pricing Scraper

Apify Actor that extracts SaaS pricing plans from public pricing pages. Built with **TypeScript**, **Crawlee CheerioCrawler**, and heuristic parsers for common pricing page patterns.

### Features

- Extracts per plan: **planName**, **monthlyPrice**, **yearlyPrice**, **billingPeriod**, **features\[]**, **ctaText**
- Multi-strategy extraction:
  - JSON-LD structured data (`Product`, `Offer`)
  - `data-*` attributes (`data-plan`, `data-monthly-price`, etc.)
  - DOM heuristics for pricing cards, tiers, and feature lists
- Built-in **retries**, **rate limiting**, **logging**, and **error handling**
- Optional **Apify Proxy** support

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `startUrls` | array | stripe + apify pricing | Pricing page URLs to scrape |
| `maxRequestsPerCrawl` | integer | `50` | Max pages per run |
| `maxRequestRetries` | integer | `3` | HTTP retry count |
| `maxRequestsPerMinute` | integer | `30` | Rate limit |
| `useProxy` | boolean | `true` | Use Apify Proxy |

See [`examples/input.json`](examples/input.json) for a ready-to-run example.

### Output

Each dataset item represents one pricing plan:

```json
{
  "planName": "Pro",
  "monthlyPrice": "$49",
  "yearlyPrice": null,
  "billingPeriod": "monthly",
  "features": ["Unlimited projects", "Priority support"],
  "ctaText": "Get started",
  "sourceUrl": "https://example.com/pricing",
  "scrapedAt": "2026-07-05T12:00:00.000Z",
  "extractionMethod": "pricing-cards+json-ld",
  "error": null
}
```

### Local development

```bash
npm install
npm run lint
npm run build
npm test
apify run
```

Copy `examples/input.json` to `storage/key_value_stores/default/INPUT.json` to customize local runs.

### Deploy

```bash
apify login
apify push
```

### Limitations

- Cheerio parses **static HTML** only. Pricing pages that render entirely client-side (heavy React/Vue SPAs) may return fewer or no plans.
- Price parsing uses common currency symbols and numeric patterns; localized or custom formats may need site-specific tuning.
- Heuristic selectors work across many SaaS sites but cannot guarantee 100% coverage.

### Project structure

```text
.actor/           Actor metadata, input/output/dataset schemas
examples/         Sample input JSON
src/
  main.ts         Crawler setup, rate limits, retries
  routes.ts       Request handler
  pricing-extractor.ts  Extraction heuristics
  types.ts        TypeScript interfaces
test/             Unit and integration tests
```

### Resources

- [Apify Actor docs](https://docs.apify.com/platform/actors)
- [Crawlee CheerioCrawler](https://crawlee.dev/api/cheerio-crawler/class/CheerioCrawler)
- [Input schema reference](https://docs.apify.com/platform/actors/development/input-schema)

# Actor input Schema

## `startUrls` (type: `array`):

SaaS pricing page URLs to scrape. Each URL should point to a public pricing page.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of pages to crawl in a single run.

## `maxRequestRetries` (type: `integer`):

How many times to retry a failed HTTP request before giving up.

## `maxRequestsPerMinute` (type: `integer`):

Rate limit to avoid overloading target sites.

## `useProxy` (type: `boolean`):

Enable Apify Proxy for requests. Recommended for production runs.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://stripe.com/pricing"
    },
    {
      "url": "https://apify.com/pricing"
    }
  ],
  "maxRequestsPerCrawl": 50,
  "maxRequestRetries": 3,
  "maxRequestsPerMinute": 30,
  "useProxy": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://stripe.com/pricing"
        },
        {
            "url": "https://apify.com/pricing"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mighty_monk/saas-pricing-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [
        { "url": "https://stripe.com/pricing" },
        { "url": "https://apify.com/pricing" },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mighty_monk/saas-pricing-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://stripe.com/pricing"
    },
    {
      "url": "https://apify.com/pricing"
    }
  ]
}' |
apify call mighty_monk/saas-pricing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mighty_monk/saas-pricing-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TwcFgiiLnBsQ0zVmL/builds/wuhB4r42yMsZd6JgF/openapi.json