# Source Receipt Extractor (`z3n_m4nt1s/source-receipt-extractor`) Actor
Extract clean public-page text with timestamped SHA-256 source receipts for AI, RAG, research, and audit workflows.
- **URL**: https://apify.com/z3n\_m4nt1s/source-receipt-extractor.md
- **Developed by:** [theCR8Fconclave SYST3MS](https://apify.com/z3n_m4nt1s) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$4.00 / 1,000 results
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
## Source Receipt Extractor
Fetch public pages and return clean text with a timestamped SHA-256 source receipt for AI, RAG, research, and audit workflows.
### What it returns
Each default-dataset item contains:
- requested and final URL
- fetch timestamp and HTTP status
- content type, byte count, and SHA-256 hash
- page title and meta description
- cleaned text, text length, and a bounded text sample
- a receipt block that states the source and supported claim scope
### Input
Fetch one or more public pages:
```json
{
"urls": ["https://example.com/"],
"maxBytes": 750000
}
```
Or pass inline HTML from another crawler:
```json
{
"pages": [{"url": "https://example.test/page", "html": "..."}]
}
```
The verified synthetic input is in `examples/sample-input.json`.
### Use cases
- provenance-aware RAG ingestion
- public-source research receipts
- audit and compliance evidence collection
- page-change and content-verification pipelines
- source-grounded AI workflows
### Boundaries
Use only public pages you are permitted to fetch. A receipt proves what this run fetched and hashed at a point in time; it does not certify the truth of every claim on the source page. The Actor does not bypass authentication, paywalls, or access controls.
### Output links
The run output exposes the default dataset plus `OUTPUT.json` in the default key-value store. Schemas live in `.actor/output_schema.json` and `.actor/dataset_schema.json`.
# Actor input Schema
## `urls` (type: `array`):
HTTP/HTTPS pages to fetch and receipt.
## `pages` (type: `array`):
Optional inline HTML fixtures/records. Useful for tests or upstream crawlers.
## `maxBytes` (type: `integer`):
Maximum bytes to read from each fetched URL.
## Actor input object example
```json
{
"pages": [
{
"url": "https://example.test/acme-plumbing",
"html": "Acme PlumbingAcme Plumbing
Licensed and insured. Call 239-555-1212.
"
}
],
"maxBytes": 750000
}
```
# Actor output Schema
## `dataset` (type: `string`):
Structured result items from this run.
## `output` (type: `string`):
Run summary and all result items in the default key-value store.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"pages": [
{
"url": "https://example.test/acme-plumbing",
"html": "Acme PlumbingAcme Plumbing
Licensed and insured. Call 239-555-1212.
"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("z3n_m4nt1s/source-receipt-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "pages": [{
"url": "https://example.test/acme-plumbing",
"html": "Acme PlumbingAcme Plumbing
Licensed and insured. Call 239-555-1212.
",
}] }
# Run the Actor and wait for it to finish
run = client.actor("z3n_m4nt1s/source-receipt-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 '{
"pages": [
{
"url": "https://example.test/acme-plumbing",
"html": "Acme PlumbingAcme Plumbing
Licensed and insured. Call 239-555-1212.
"
}
]
}' |
apify call z3n_m4nt1s/source-receipt-extractor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=z3n_m4nt1s/source-receipt-extractor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/fZxsVpucIaO6D6kJu/builds/Rp04XjnqLTehCNXQy/openapi.json