# EvidencePack — Jira Audit Export (`plenteous_humidifier/evidencepack-jira-export`) Actor

Export an authorized Jira Cloud project to offline HTML and JSON with attachments, ZIP download, warnings, and SHA-256 integrity checks.

- **URL**: https://apify.com/plenteous\_humidifier/evidencepack-jira-export.md
- **Developed by:** [Luigy Gabriel](https://apify.com/plenteous_humidifier) (community)
- **Categories:** Automation, Developer tools, Integrations
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / metadata archive

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

## EvidencePack — Jira Audit Export

Turn one authorized Jira Cloud project into a downloadable evidence package with
offline HTML, original JSON, comments, worklogs, attachment bodies, warnings, and
a file-by-file SHA-256 integrity manifest.

### Input

- `https://*.atlassian.net` Jira Cloud site
- account email and Atlassian API token
- project key
- issue, attachment and file-size safety limits

Credentials are secret input. They are sent only to the selected Atlassian Cloud
site and never written to datasets, logs, manifests or ZIP archives.

### Output

- `ARCHIVE`: downloadable ZIP containing the complete evidence folder
- `INDEX`: offline project HTML index
- `MANIFEST`: totals and SHA-256 hashes
- `WARNINGS`: skipped or failed evidence
- default dataset: one compact run summary

### Commercial model

Use Apify pay-per-event with `archive-metadata-only` and
`archive-with-attachments` events charged only after a successful archive.
Suggested launch experiment: US$0.75 without attachment bodies and US$1.50 with
attachments, after measuring storage and transfer costs.

### Boundaries

Jira permissions always apply. EvidencePack is designed for audits, project
offboarding and retention. It does not restore Jira projects and cannot export
issues or attachments hidden from the supplied account.

# Actor input Schema

## `siteUrl` (type: `string`):

For example https://company.atlassian.net

## `email` (type: `string`):

Email address associated with the Atlassian API token.

## `apiToken` (type: `string`):

Scoped Atlassian API token for an account authorized to browse the project.

## `projectKey` (type: `string`):

For example ENG or CLIENT\_1

## `maxIssues` (type: `integer`):

Stop after this many issues to bound runtime and storage use.

## `downloadAttachments` (type: `boolean`):

Include authorized attachment files in the ZIP instead of metadata only.

## `maxAttachmentMb` (type: `number`):

Skip an individual attachment body when it exceeds this size.

## Actor input object example

```json
{
  "maxIssues": 10000,
  "downloadAttachments": true,
  "maxAttachmentMb": 100
}
```

# Actor output Schema

## `summary` (type: `string`):

No description

## `archive` (type: `string`):

No description

## `manifest` (type: `string`):

No description

## `index` (type: `string`):

No description

## `warnings` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("plenteous_humidifier/evidencepack-jira-export").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("plenteous_humidifier/evidencepack-jira-export").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 plenteous_humidifier/evidencepack-jira-export --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=plenteous_humidifier/evidencepack-jira-export",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/tvqrI0PbmJIJclsEV/builds/0lOArHadMEvQcZNCM/openapi.json