Go to example tasks

Wikipedia: UN Security Council Article and Tables

Extract text and tables from the public article about permanent UN Security Council members. Replace the article URL and keep table limits suitable for your workflow.

Try for free
Wikipedia Article and Table Data Extractor
Wikipedia Article and Table Data Extractorzinin/wikipedia-article-table-extractor
input
sourceUrl
found
status
+17 fields
Text
Number
Boolean
List
Object

Input

articleUrls(required):https://en.wikipedia.org/wiki/Permanent_members_of_the_United_Nations_Security_Council
includeText:true
includeTables:true
maxTables:10
maxRowsPerTable:100

Output fields

input
sourceUrl
found
status
resultCount
partial
error
warnings
checkedAt
schemaVersion
title
canonicalUrl
revisionId
text
sections
tables
licenseUrl
licenseUrls
attributionUrl
notices
modifications

How it works

Sign up on Apify01

Create your Apify account to access the Wikipedia Article and Table Data Extractor.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

Image

Integrate Actor directly into your workflow

Choose from one of 100+ integration options we provide or integrate via API

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay