# Fandom & Wikipedia Extractor (`jupri/wiki-scraper`) Actor
Scrape content from Fandom.com and Wikipedia.com
- **URL**: https://apify.com/jupri/wiki-scraper.md
- **Developed by:** [cat](https://apify.com/jupri) (community)
- **Categories:** Social media
- **Stats:** 154 total users, 1 monthly users, 92.1% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
$30.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## 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
### Welcome To MediaWiki Scraper
#### About Fandom.com
**Fandom**[[a]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-9) (formerly known as **Wikicities** and later **Wikia**[[b]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-10)) is a [wiki hosting service](https://en.wikipedia.org/wiki/Wiki_hosting_service "Wiki hosting service") that hosts [wikis](https://en.wikipedia.org/wiki/Wiki "Wiki") mainly on entertainment topics (i.e. video games, TV series, movies, entertainers, etc.).[[9]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-11) The [privately held](https://en.wikipedia.org/wiki/Privately_held_company "Privately held company"), for-profit [Delaware company](https://en.wikipedia.org/wiki/Delaware_General_Corporation_Law "Delaware General Corporation Law") was founded in October 2004 by [Jimmy Wales](https://en.wikipedia.org/wiki/Jimmy_Wales "Jimmy Wales") (co-founder of Wikipedia) and Angela Beesley.[[5]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-fandomownership-5)[[10]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-12) Fandom was acquired in 2018 by [TPG Inc.](https://en.wikipedia.org/wiki/TPG_Inc. "TPG Inc.") and Jon Miller through Integrated Media Co.[[11]](https://en.wikipedia.org/wiki/Fandom_(website)#cite_note-aboutfandom-13)
#### About Wikipedia.com
**Wikipedia**[[note 3]](https://en.wikipedia.org/wiki/Wikipedia#cite_note-5) is an [online encyclopedia](https://en.wikipedia.org/wiki/Online_encyclopedia "Online encyclopedia") written and maintained by a community of volunteers, known as [Wikipedians](https://en.wikipedia.org/wiki/Wikipedia_community "Wikipedia community"), through [open collaboration](https://en.wikipedia.org/wiki/Open_collaboration "Open collaboration") and using a [wiki](https://en.wikipedia.org/wiki/Wiki "Wiki")-based editing system called [MediaWiki](https://en.wikipedia.org/wiki/MediaWiki "MediaWiki"). Wikipedia is the largest and most-read [reference work](https://en.wikipedia.org/wiki/Reference_work "Reference work") in history,[[3]](https://en.wikipedia.org/wiki/Wikipedia#cite_note-Wiki20-6)[[4]](https://en.wikipedia.org/wiki/Wikipedia#cite_note-auto1-7) and has consistently been one of the 10 [most popular websites](https://en.wikipedia.org/wiki/List_of_most_visited_websites "List of most visited websites").[[5]](https://en.wikipedia.org/wiki/Wikipedia#cite_note-8) Created by [Jimmy Wales](https://en.wikipedia.org/wiki/Jimmy_Wales "Jimmy Wales") and [Larry Sanger](https://en.wikipedia.org/wiki/Larry_Sanger "Larry Sanger") on January 15, 2001, it is hosted by the [Wikimedia Foundation](https://en.wikipedia.org/wiki/Wikimedia_Foundation "Wikimedia Foundation"), an [American non-profit organization](https://en.wikipedia.org/wiki/501(c)(3)_organization "501(c)(3) organization").
# Actor input Schema
## `pages` (type: `array`):
Fandom or Wikipedia pages
## `content` (type: `string`):
Content format (default: mediawiki)
## Actor input object example
```json
{
"pages": [
"https://en.wikipedia.com/wiki/JavaScript",
"https://terraria.fandom.com/wiki/Bosses"
]
}
````
# 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": [
"https://en.wikipedia.com/wiki/JavaScript",
"https://terraria.fandom.com/wiki/Bosses"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("jupri/wiki-scraper").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": [
"https://en.wikipedia.com/wiki/JavaScript",
"https://terraria.fandom.com/wiki/Bosses",
] }
# Run the Actor and wait for it to finish
run = client.actor("jupri/wiki-scraper").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": [
"https://en.wikipedia.com/wiki/JavaScript",
"https://terraria.fandom.com/wiki/Bosses"
]
}' |
apify call jupri/wiki-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jupri/wiki-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Fandom & Wikipedia Extractor",
"description": "Scrape content from Fandom.com and Wikipedia.com",
"version": "0.0",
"x-build-id": "qY2GeODwcIbr30OHr"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jupri~wiki-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jupri-wiki-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jupri~wiki-scraper/runs": {
"post": {
"operationId": "runs-sync-jupri-wiki-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jupri~wiki-scraper/run-sync": {
"post": {
"operationId": "run-sync-jupri-wiki-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"pages"
],
"properties": {
"pages": {
"title": "🔥 Pages",
"type": "array",
"description": "Fandom or Wikipedia pages",
"items": {
"type": "string"
}
},
"content": {
"title": "🔥 Content",
"enum": [
"html",
"markdown"
],
"type": "string",
"description": "Content format (default: mediawiki)"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```