# Wikimedia Logos (`theguide/wikimedia-logos`) Actor
Extracts the logo of companies on one or more web page URLs on Wikimedia Commons file pages
- **URL**: https://apify.com/theguide/wikimedia-logos.md
- **Developed by:** [TheGuide](https://apify.com/theguide) (community)
- **Categories:** Lead generation, Jobs, Other
- **Stats:** 19 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$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
## Wikimedia File Image Extractor (#file)
Extract the absolute URL of the image displayed in the element with the identifier `file` on one or more web pages. Ideal for Wikimedia Commons file pages (ex. `https://commons.wikimedia.org/wiki/File:…`).
- Result: one line per input URL in the default Dataset
- Simple usage: provide a list of URLs (or a single URL) and run the Actor
### What is this Actor for?
This Actor extracts the direct link to the image "displayed" in the `#file` section of a page. On Wikimedia Commons, this area typically contains the version of the image visible on the file page. If no image is found at this location, the Actor returns an error message for the URL concerned.
### Input parameters
You can use one of the two fields below:
- `urls` (recommended): list of URLs to process.
- `url`: a single URL to process (practical alternative if you only have one page).
Input examples:
- List of URLs (recommended)
```json
{
"urls": [
"https://commons.wikimedia.org/wiki/File:Example.jpg",
"https://commons.wikimedia.org/wiki/File:Wikimedia-logo.svg"
]
}
````
- URL unique
```json
{
"url": "https://commons.wikimedia.org/wiki/File:Example.jpg"
}
```
### Output (Dataset)
For each input URL, the Dataset contains a record with:
- `inputUrl`: the input URL
- `logoUrl`: the absolute URL of the image found (if available)
- `error`: an error message if no image was found or if the page could not be loaded
Output examples:
```json
{
"inputUrl": "https://commons.wikimedia.org/wiki/File:Example.jpg",
"logoUrl": "https://upload.wikimedia.org/wikipedia/commons/.../Example.jpg"
}
```
```json
{
"inputUrl": "https://example.com/page-sans-image",
"error": "No ![]()
found inside element with id \"file\"."
}
```
# Actor input Schema
## `urls` (type: `array`):
Array of web page URLs to scan for direct .svg links (e.g., Wikimedia Commons file pages).
## `url` (type: `string`):
If provided, will be used when 'urls' is empty.
## Actor input object example
```json
{
"urls": [
"https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
],
"url": "https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
}
```
# 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 = {
"urls": [
"https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
],
"url": "https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
};
// Run the Actor and wait for it to finish
const run = await client.actor("theguide/wikimedia-logos").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 = {
"urls": ["https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"],
"url": "https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg",
}
# Run the Actor and wait for it to finish
run = client.actor("theguide/wikimedia-logos").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 '{
"urls": [
"https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
],
"url": "https://commons.wikimedia.org/wiki/File:Airbnb_Logo_B%C3%A9lo.svg"
}' |
apify call theguide/wikimedia-logos --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=theguide/wikimedia-logos",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Wikimedia Logos",
"description": "Extracts the logo of companies on one or more web page URLs on Wikimedia Commons file pages",
"version": "0.0",
"x-build-id": "m1dbiO63f3WAl6ueM"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/theguide~wikimedia-logos/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-theguide-wikimedia-logos",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/theguide~wikimedia-logos/runs": {
"post": {
"operationId": "runs-sync-theguide-wikimedia-logos",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/theguide~wikimedia-logos/run-sync": {
"post": {
"operationId": "run-sync-theguide-wikimedia-logos",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"urls": {
"title": "List of pages to scan",
"type": "array",
"description": "Array of web page URLs to scan for direct .svg links (e.g., Wikimedia Commons file pages).",
"items": {
"type": "string"
}
},
"url": {
"title": "Single page URL (optional)",
"type": "string",
"description": "If provided, will be used when 'urls' is empty."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```