# Return Policy Extractor (`junipr/return-policy-extractor`) Actor

Extract return-policy rules from supplied policy pages or text into structured rows for audits, support documentation, and competitive comparison.

- **URL**: https://apify.com/junipr/return-policy-extractor.md
- **Developed by:** [junipr](https://apify.com/junipr) (community)
- **Categories:** SEO tools, Developer tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.90 / 1,000 page auditeds

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

## Return Policy Extractor

### Store Positioning

**Store title:** Return Policy Extractor

**Short description:** Extract return-policy rules from supplied policy pages or text into structured rows for audits, support documentation, and competitive comparison.

**SEO title:** Return Policy Extractor — technical SEO, web, and domain audit

**SEO description:** Extract return-policy rules from supplied policy pages or text into structured rows for audits, support documentation, and competitive comparison. Use it to find crawlability, indexability, security, metadata, and page-quality issues with evidence-backed rows and audit reports.

**Categories:** SEO\_TOOLS, DEVELOPER\_TOOLS, ECOMMERCE

**Keywords:** return, policy, extractor, structured data, web/domain audit

### Pay-Per-Event Pricing

This actor uses pay-per-event pricing. Event prices include Apify platform usage; users are not expected to pay a separate platform-usage pass-through charge for the configured pricing model.

- Tier: W1 — Web/domain audit
- Primary event: `page-audited` at $0.00490 base
- Default max charge: $10.00
- Store discounts: FREE/BRONZE base, SILVER discounted, GOLD deepest approved discount

Event set:

- `actor-start`: base $0.00500, GOLD $0.00400. Return Policy Extractor: charged when actor start is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `page-audited`: base $0.00490, GOLD $0.00392. Return Policy Extractor: charged when page audited is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `rule-parsed`: base $0.00372, GOLD $0.00298. Return Policy Extractor: charged when rule parsed is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `finding-emitted`: base $0.00372, GOLD $0.00298. Return Policy Extractor: charged when finding emitted is completed. The price includes Apify platform usage; no separate usage pass-through is intended.
- `audit-report-generated`: base $0.05000, GOLD $0.04000. Return Policy Extractor: charged when audit report generated is completed. The price includes Apify platform usage; no separate usage pass-through is intended.

The actor accepts `actor-start` before work, accepts the primary event before each dataset row, and accepts the configured report event before writing report files. If `maxChargeUsd` or the live PPE limit blocks a charge, the corresponding row or report is not written.

### Public Task Concepts

- Audit Return Policy controls on a capped public sample
- Find high-priority Return Policy issues before release
- Validate Return Policy evidence from supplied pages
- Prioritize Return Policy fixes with severity and proof
- Export Return Policy QA rows for client review
  Extract structured return policy facts from supplied text or HTML.

### What It Does

Extracts return windows, refund method, exchange signals, restocking fees, return-shipping responsibility, condition requirements, exclusions, evidence, and confidence.

### Inputs

This actor exposes these input fields in `.actor/input_schema.json`:

- `policyUrls`
- `policyText`
- `html`
- `maxPages`
- `extractFees`
- `extractExclusions`
- `includeEvidenceSnippets`
- `timeoutMs`
- `maxChargeUsd`

The exact default fetches and extracts a single bounded public Apple Returns & Refunds policy page, verified reachable at 2026-07-12T05:48:00Z.

### Outputs

Dataset rows contain:

- `sourceUrl`
- `policySection`
- `returnWindowDays`
- `refundMethod`
- `exchangeAllowed`
- `restockingFee`
- `returnShippingResponsibility`
- `conditionRequirement`
- `exclusion`
- `evidenceSnippet`
- `confidence`

Sample outputs in `examples/output.sample.json` and `output.sample.json` were generated from `examples/input.tiny.json` through actor logic.

### Reports

After the configured report charge is accepted, the actor writes its Markdown, JSON, or CSV reports to the key-value store. A rejected report charge leaves those files unwritten.

### Public Task Concepts

- Audit public URLs for Return Policy Extractor issues
- Find Return Policy Extractor problems across a website
- Generate a technical Return Policy Extractor report

### Safe use

Use small capped runs first. Network paths are bounded; review output quality and costs before increasing limits.

# Actor input Schema

## `policyUrls` (type: `array`):

Public policy URLs to fetch or inspect for Return Policy Extractor.

## `policyText` (type: `string`):

Policy text to analyze directly when the policy is already available.

## `html` (type: `string`):

HTML content to analyze directly when you already have a saved page.

## `maxPages` (type: `number`):

Maximum pages to process in one run; keep defaults low for safe first runs.

## `extractFees` (type: `boolean`):

Extract fees when enough evidence is available.

## `extractExclusions` (type: `boolean`):

Extract exclusions when enough evidence is available.

## `includeEvidenceSnippets` (type: `boolean`):

Include evidence snippets in output rows or reports when available.

## `timeoutMs` (type: `number`):

Maximum time in milliseconds allowed for the Return Policy Extractor operation before it is treated as timed out.

## `maxChargeUsd` (type: `number`):

Maximum estimated PPE charge allowed for the run before the actor stops gracefully.

## Actor input object example

```json
{
  "policyUrls": [
    "https://www.apple.com/shop/help/returns_refund"
  ],
  "policyText": "",
  "html": "",
  "maxPages": 1,
  "extractFees": true,
  "extractExclusions": true,
  "includeEvidenceSnippets": true,
  "timeoutMs": 10000,
  "maxChargeUsd": 1
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("junipr/return-policy-extractor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("junipr/return-policy-extractor").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 '{}' |
apify call junipr/return-policy-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=junipr/return-policy-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/egpISaPgRuiOeBLfU/builds/6NVirZ36fYIw6hPXk/openapi.json