# Screenshot to Bug Report - BugShot (`dravara/bugshot`) Actor

Upload one UI screenshot and describe the symptom. Get structured JSON and a tracker-ready bug-report draft with evidence, assumptions, and acceptance checks. BugShot never files the issue.

- **URL**: https://apify.com/dravara/bugshot.md
- **Developed by:** [Dravara LLC](https://apify.com/dravara) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 89.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.12 / bug report created

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## BugShot

**Turn one screenshot into a tracker-ready bug-report draft.**

Upload one screenshot and add a sentence such as “Checkout button does
nothing.” BugShot returns visible evidence, a concise title, actual and
expected behavior, reproduction steps, submitted environment facts, separate
inferred environment clues, suggested severity, acceptance criteria,
assumptions, open questions, structured JSON, and tracker-ready Markdown. Add
known environment fields or relevant console output when they exist.

Optionally provide a GitHub repository owner and name. BugShot then returns a
browser link that contains a prefilled GitHub Issue title and body. The link is
stored with the run output. Review the title and body before opening it because
opening sends that prefill to GitHub and can place it in browser history.
BugShot never submits the issue or uploads the screenshot to GitHub. The raw console log
is left out of the browser URL; paste it separately only after checking it for
secrets.

### Built for automation

- Send screenshots from CI, support intake, QA, or an agent workflow.
- Preserve submitted environment facts and relevant console output in the
  finished Markdown instead of reconstructing them by hand.
- Open a reviewable GitHub Issue draft, or paste the Markdown into Jira,
  Linear, another tracker, or a support system.
- Keep unsupported details explicit as assumptions or questions.
- Receive one dataset item per screenshot instead of setting up integrations.

### Output example

This sanitized example shows the complete dataset contract. Values such as
coordinates and digests change with the submitted screenshot.

```json
{
  "title": "Checkout button does not advance the order",
  "summary": "The checkout screen remains on the payment step after the customer selects Place order.",
  "actual_behavior": "Selecting Place order leaves the payment step visible and shows an error banner.",
  "expected_behavior": "The order should be submitted once and the customer should see a confirmation or a specific recoverable validation error.",
  "reproduction_steps": [
    "Open checkout with an item in the cart.",
    "Complete the visible payment fields.",
    "Select Place order."
  ],
  "evidence": [
    {
      "source": "screenshot",
      "observation": "An error banner is visible above the payment form.",
      "region": {"x": 0.12, "y": 0.18, "width": 0.76, "height": 0.09}
    },
    {
      "source": "reporter_note",
      "observation": "The reporter states that the button does nothing.",
      "region": null
    }
  ],
  "visible_errors": ["We could not process your order."],
  "environment_clues": ["Desktop-width checkout layout"],
  "severity": "high",
  "severity_reason": "The visible failure blocks completion of the primary purchase flow.",
  "acceptance_criteria": [
    "One selection submits no more than one order.",
    "A successful submission opens the confirmation screen.",
    "A failed submission returns a specific recoverable error."
  ],
  "assumptions": ["The screenshot was captured after Place order was selected."],
  "questions": ["Does the browser console show a failed network request?"],
  "markdown_report": "# Checkout button does not advance the order\n\n## Summary\nThe checkout screen remains on the payment step after submission.\n",
  "input_sha256": "0000000000000000000000000000000000000000000000000000000000000000",
  "provided_environment": {
    "application": "Storefront",
    "deployment_environment": "staging",
    "version_or_build": "2026.07.31",
    "browser_or_runtime": "Chrome 140",
    "operating_system": "Windows 11",
    "device": null,
    "route_or_screen": "/checkout/payment"
  },
  "console_log_included": false,
  "console_log_sha256": null,
  "github_repository": "example/storefront",
  "github_issue_prefill_url": "https://github.com/example/storefront/issues/new?title=Checkout%20button",
  "github_issue_prefill_truncated": false,
  "github_issue_notice": "Review the draft and remove secrets before opening or submitting it.",
  "review_notice": "AI-generated report: verify the evidence, reproduction steps, expected behavior, severity, and assumptions before filing."
}
```

### Supported input

PNG, JPEG, and WebP; one image per run; up to 12 MB, 8,192 pixels per side,
and 20 megapixels. Screenshots selected with the Apify Console file uploader
are read inside this limited Actor with its scoped storage access. Other remote
sources must use public HTTPS; local-network and reserved addresses are
rejected. Direct inline data URLs should stay at or below 6 MB of raw image
bytes because Apify run-input requests have a smaller limit than uploaded or
remote files.

The reporter note accepts up to 4,000 characters. Optional console output
accepts up to 8,000 characters with Windows and classic Mac line endings
normalized to line feeds; null characters are rejected. Environment fields are
single-line values with documented per-field limits. A GitHub draft requires
both a valid repository owner and repository name. BugShot does not accept a
GitHub token.

### Self-service run and recovery

No separate Dravara account, API key, tracker integration, or support handoff
is required. Upload the screenshot, start one run, then copy the report from
the run's default dataset into the system you choose. If you requested a
GitHub draft, review the report for secrets before opening the returned link,
attach the screenshot yourself, and submit only when it is correct. The Actor
never files or updates an issue for you.

If input validation fails, correct the file or named field and start a new run.
If the analysis service is temporarily unavailable, wait a few minutes and
start one new run; a failed run does not continue in the background. If a
charge or dataset state ever looks unclear, do not loop automatic retries:
inspect that run's **Charges**, default dataset, and
**Self-service failure details** output first. The failure output is the
sanitized key-value-store
`OUTPUT` record with the stable error code, retry guidance, and next action.

### Billing

Dravara's creator charge for a successful run is $0.35005: the $0.00005
`apify-actor-start` event plus $0.35 for `bug-report-created`. Apify
separately passes its variable platform usage to the customer and determines
the final displayed total; Dravara does not reduce its creator charge to absorb
that usage. The result event is captured only after the report is available in
the default dataset. Validation or provider failures skip the result charge,
but the Actor-start charge and Apify platform usage can still apply. The
synthetic sample input is billed like any other run.

### Privacy

The screenshot, note, submitted environment, and console output are processed
by Dravara, LLC's private service and the OpenAI API using `store: false`;
applicable provider abuse-monitoring retention may still apply. The public
Actor is a limited, inspectable adapter; the product engine remains private.
Apify stores normal run input/output according to the runner's retention
settings.

Remove credentials and unrelated personal information before uploading or
pasting console output. BugShot treats every submitted string and screenshot as
untrusted evidence, not instructions, but automated analysis cannot guarantee
that every secret is recognized. BugShot does not create or update third-party
issues in version 1.0.

Optional defect contact:
<support@dravarahq.com>. Send only the Apify run
ID and safe error text, never the input. Support does not complete or deliver
failed runs.

# Actor input Schema

## `image` (type: `string`):

One PNG, JPEG, or WebP screenshot. Console uploads/HTTPS: up to 12 MB. Inline data URLs: up to 6 MB raw. Maximum 20 megapixels.

## `note` (type: `string`):

A short observed symptom. BugShot will not invent missing setup.

## `application` (type: `string`):

Optional application or service name.

## `deployment_environment` (type: `string`):

Optional environment such as production, staging, or local development.

## `version_or_build` (type: `string`):

Optional release version, commit, or build identifier.

## `browser_or_runtime` (type: `string`):

Optional browser, app runtime, or language runtime and version.

## `operating_system` (type: `string`):

Optional operating system and version.

## `device` (type: `string`):

Optional device type or model.

## `route_or_screen` (type: `string`):

Optional URL route, page, dialog, or screen name.

## `console_log` (type: `string`):

Optional diagnostic output, up to 8,000 characters. Remove credentials and unrelated personal data first.

## `github_owner` (type: `string`):

Optional. Provide this and the repository name to receive a prefilled GitHub Issue draft link.

## `github_repository` (type: `string`):

Optional. BugShot builds a browser link but never submits the issue or uploads the screenshot.

## Actor input object example

```json
{
  "image": "data:image/webp;base64,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",
  "note": "The Place Order button did not respond."
}
```

# Actor output Schema

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

No description

## `failure` (type: `string`):

On a failed run, open the sanitized machine-readable error, retry guidance, and next action.

# 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 = {
    "image": "data:image/webp;base64,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",
    "note": "The Place Order button did not respond."
};

// Run the Actor and wait for it to finish
const run = await client.actor("dravara/bugshot").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 = {
    "image": "data:image/webp;base64,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",
    "note": "The Place Order button did not respond.",
}

# Run the Actor and wait for it to finish
run = client.actor("dravara/bugshot").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "image": "data:image/webp;base64,UklGRrIFAABXRUJQVlA4TKYFAAAvf8JZAPfloI0kR2rCx18fpr3hQDhoG0mSij/CZXJvxwjatk34cz2Dr55/AUlCB+zG5/UDCcAgAAEBAJIBMDdXYJCgAW0iYMxNAKQN/P9H0zAAIgCkTWBpc6nQMILG3ARQQEAO5ADe9LkD92EaAi8vwP/3/e8IAAKa/838T5s2AEQDxICAzB0SgOUNbQQGNN7XluAQ7940R70htwb0Boz5HyAQEANev3OT8f68A715ngcUrm0vJGn31Oz02rZt27Zt27ad7pm1bW/GM4sf1/W+2c/IIhH9hwVJkmIl0eeFO2zc8PXF+10F/wX/Bf8F/wX/Bf8F/wX/Bf/9h4D3uwr+C/4L/guq+upfrn5K51E+SAn+C/4L/vNupt5MnmgA9jewv8EiL6XPhfL0P/9HsV7K6Y7Axizs8uTdIVTfdS7VnhqHzJlaabXutqpzMnWyDlbss+zzGR/lRVnEVdEcmj1jcwca3mb7KCZuwCYu9GT3OMbtknzVrddKcTXI5bkx5lHmiwSZVbGbJsPLspR9KeT5KskOkLEd8gDL63JE3dTLQtGVTfBKyINqxb7KyLNlGbUHrHBgFANPcXQEU1Zgo7NT2T2GMbt53ooZRZAXeakzWnrv4t4aWoNTyfNNaGqSx6phqfmkfb1TqVN1GXL/4ioLJ477v897B/8F/wX/Bf8F/wX//drbIq9liDGfjRk28caVG+N1BFNKaoNVqiwtXVI2NqAIJmXf7gtUPZJzpKo8nQ+6ZaFfTjWq5fSWEXB0zUSXEzNyF68DKl/Oo2YyavEAWD2XeSvl6TyRc52AzmeVCueaH3T5UMlWmA6sH2FpMZyK74B79ah/V57OE3lZDij3UhkynxsJh/37CmoAXQ/LkvFbgPcR0Tt5Op+k/Atl2+2rr/s4JGZ9ejOMslfrCU3v1fRSznYGupyWMi9Dv3VYV1irp4y+b8znHVS63gEvtaNvTlWq5fSSum2ACg8cTMJWe6QCMw6OAiqJ818lT+eJMOnmlRsTkNYOB5ItC3NyclYBQ5Ol2b2VifnGHOeMvzmjP+3K+r+v+wX/Bf8F/wX/Bf8F//0Kx0OT+ZeQaR56Gxag0FzMaYeVppTUdmyOhEJjzFxArkuBQpO82T2uvDRBNakUsH6HhdbXtKNrJn5jcyTgWJeC6LuLhYrnh8smmeKF8CGmVp2gN0eC5FiXQizjo4hpmyPJFC+k17mYXnXCi7LOKte6FCz02y9kvZFkiv9RaJLHGsX0qhNeK4XGmE6udSkUmksf6wjln8smmeKHdhDTq07QmyPBArjWpWBh4SKh+0kZK1M8Er3qBPfmSMCxLoVYm0Ox6ld7SDLFFxErTVCrThCbI0HuWOFYl0KswuMo/izRENWkUtL83+e9/d/X/YL/gv+C/4L/gv+C/37pTK0s4bey39z4DYt+Y1uraTLyz9taDvb/Pgvwh7Bgf3Pbb2X9Crt1dry/GDNDHHBaWJOdauwaOkN6l+panrwzBKh9LHubBasDUEWibtnnM/LhkbNsmHXrZl/5gDjbRbAnUNQv3l+OmSEOqCxiRjL2sCR3qa7COTR5Buwcw+DiNB2ALNLDapAPj5plw7vKLXbIB8TZLoN9wN6dyI8gP1JjZsiPVFKCsm+wQJ4ku9SMGuB5WcoUpOkAZJFzWA3kR2qWDdsO91EPiLNdBnuCHXL/V+o5VsrPpOxTOXQGSY+hQYW+LUuiME0HIIvc9RY1ywa6HdoqHxDd7gj2CeSYGWKVAIoHMXabc+gMeZHqUg6PYGRRmgxw5Kv6vEiQs2yomsyq+FY+ILrdEewDdqzQxJgZYmcA7LbUsZrOoTOcOC66HBqnUittmgxwUPUnjgtqlg0LbtyaKR8Q3e4I9mmf9/6tz+I/0iH4L/gv+C/4L/gv+O8Ha/7v/+7nJ2He7yr4L/gv+C/4L/gvqAw=",
  "note": "The Place Order button did not respond."
}' |
apify call dravara/bugshot --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dravara/bugshot"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QoyzvepifTxFCEdim/builds/vk3UrskV7DaXgvdLW/openapi.json