# Broken Image Finder (`happitap/broken-image-finder`) Actor
Automatically crawl any website to detect and report broken images (404s, 500s). Keep your site looking professional and boost SEO
- **URL**: https://apify.com/happitap/broken-image-finder.md
- **Developed by:** [HappiTap](https://apify.com/happitap) (community)
- **Categories:** SEO tools, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Broken Image Finder
**Automatically crawl any website to detect and report broken images (404s, 500s). Keep your site looking professional and boost SEO.**
Broken images ruin the user experience and negatively impact your website's SEO rankings. This lightweight, blazing-fast actor will scan your entire website, discover every `![]()
` tag, and ping the image sources to ensure they load successfully.
### What can this Actor do?
- ✅ **Deep Crawling** - Start with a single URL and the actor will automatically follow all internal links on the same domain to scan your entire site.
- ✅ **Lightning Fast HTML Parsing** - Built on Cheerio, it parses HTML instantly without the heavy overhead of a headless browser.
- ✅ **Global Image Cache** - Uses an internal cache to remember which images have already been tested. If your site's logo is broken, it will only test it once, saving massive amounts of compute time.
- ✅ **External Image Support** - Can test images hosted on CDNs, Amazon S3, or third-party domains.
- ✅ **Rich Output** - Reports the exact page URL where the broken image was found, the broken image's URL, its `alt` text, and the HTTP status code (e.g., 404 Not Found).
### Why find broken images?
- 🎯 **SEO Optimization** - Search engines penalize sites with broken assets. Clean up your site to improve rankings.
- 📊 **User Experience** - Prevent users from seeing ugly missing-image icons on your beautiful web app.
- 📍 **Site Migrations** - Run a full scan after moving to a new domain or CMS to ensure all media links were updated correctly.
### How to use it
1. Enter your website URL into the **Start URLs** field.
2. Set the **Max Pages to Scan** to limit how deep the crawler goes (e.g., 100 pages).
3. Choose whether you want to check external images.
4. Click Start!
### How much does it cost?
This actor uses a **Pay-Per-Event (PPE)** pricing model. You only pay for the pages successfully scanned!
- **$0.50 per 1,000 pages scanned.**
### Output Example
When a broken image is found, the actor pushes this data to your dataset:
```json
{
"pageUrl": "https://example.com/blog/my-awesome-post",
"imgUrl": "https://example.com/assets/images/missing-hero.jpg",
"altText": "A beautiful sunset over the mountains",
"statusCode": 404,
"errorReason": "Not Found",
"scrapedAt": "2023-10-25T15:00:00.000Z"
}
````
# Actor input Schema
## `startUrls` (type: `array`):
List of URLs to start scanning for broken images. The crawler will follow links on the same domain.
## `maxPagesPerCrawl` (type: `integer`):
Maximum number of pages to crawl across the entire site.
## `checkExternalImages` (type: `boolean`):
If enabled, the actor will also ping images hosted on third-party domains (CDNs, S3, etc.).
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://example.com"
}
],
"maxPagesPerCrawl": 100,
"checkExternalImages": true
}
```
# Actor output Schema
## `results` (type: `string`):
Extracted data items stored in the default dataset.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://example.com"
}
],
"maxPagesPerCrawl": 100,
"checkExternalImages": true
};
// Run the Actor and wait for it to finish
const run = await client.actor("happitap/broken-image-finder").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {
"startUrls": [{ "url": "https://example.com" }],
"maxPagesPerCrawl": 100,
"checkExternalImages": True,
}
# Run the Actor and wait for it to finish
run = client.actor("happitap/broken-image-finder").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://example.com"
}
],
"maxPagesPerCrawl": 100,
"checkExternalImages": true
}' |
apify call happitap/broken-image-finder --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=happitap/broken-image-finder",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Broken Image Finder",
"description": "Automatically crawl any website to detect and report broken images (404s, 500s). Keep your site looking professional and boost SEO",
"version": "0.0",
"x-build-id": "gfdaPhnzWv8xncelT"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/happitap~broken-image-finder/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-happitap-broken-image-finder",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/happitap~broken-image-finder/runs": {
"post": {
"operationId": "runs-sync-happitap-broken-image-finder",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/happitap~broken-image-finder/run-sync": {
"post": {
"operationId": "run-sync-happitap-broken-image-finder",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"startUrls"
],
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "List of URLs to start scanning for broken images. The crawler will follow links on the same domain.",
"default": [
{
"url": "https://example.com"
}
],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxPagesPerCrawl": {
"title": "Max Pages to Scan",
"minimum": 1,
"maximum": 50000,
"type": "integer",
"description": "Maximum number of pages to crawl across the entire site.",
"default": 100
},
"checkExternalImages": {
"title": "Check External Images",
"type": "boolean",
"description": "If enabled, the actor will also ping images hosted on third-party domains (CDNs, S3, etc.).",
"default": true
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```