Pricing

from $0.50 / 1,000 extracted webpages

Webpage Text Extractor

Extract clean text, article text, and Markdown from public web pages. Get titles, metadata, headings, links, word counts, final URLs, and timestamps for LLM prompts, RAG inputs, reviews, and exports.

Pricing

from $0.50 / 1,000 extracted webpages

Rating

0.0

(0)

Developer

Maxime Dupré

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

Marketing

You can access the Webpage Text Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "startUrls": [
9        { "url": "https://example.com" },
10        { "url": "https://www.iana.org/domains/reserved" },
11        { "url": "https://www.iana.org/help/example-domains" },
12        { "url": "https://docs.apify.com/platform" },
13        { "url": "https://docs.apify.com/platform/storage" },
14        { "url": "https://docs.apify.com/platform/proxy" },
15        { "url": "https://docs.apify.com/sdk/js" },
16        { "url": "https://en.wikipedia.org/wiki/Web_scraping" },
17        { "url": "https://en.wikipedia.org/wiki/HTML" },
18        { "url": "https://en.wikipedia.org/wiki/Markdown" },
19        { "url": "https://en.wikipedia.org/wiki/HTTP" },
20        { "url": "https://en.wikipedia.org/wiki/URL" },
21        { "url": "https://en.wikipedia.org/wiki/Web_page" },
22        { "url": "https://en.wikipedia.org/wiki/Website" },
23        { "url": "https://en.wikipedia.org/wiki/Search_engine" },
24        { "url": "https://en.wikipedia.org/wiki/Natural_language_processing" },
25        { "url": "https://en.wikipedia.org/wiki/Information_retrieval" },
26        { "url": "https://en.wikipedia.org/wiki/Data_extraction" },
27        { "url": "https://en.wikipedia.org/wiki/Document_Object_Model" },
28        { "url": "https://en.wikipedia.org/wiki/JavaScript" },
29        { "url": "https://en.wikipedia.org/wiki/TypeScript" },
30        { "url": "https://en.wikipedia.org/wiki/Node.js" },
31        { "url": "https://en.wikipedia.org/wiki/Representational_state_transfer" },
32        { "url": "https://en.wikipedia.org/wiki/Web_API" },
33        { "url": "https://en.wikipedia.org/wiki/Application_programming_interface" },
34    ] }
35
36# Run the Actor and wait for it to finish
37run = client.actor("maximedupre/webpage-text-extractor").call(run_input=run_input)
38
39# Fetch and print Actor results from the run's dataset (if there are any)
40print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
41for item in client.dataset(run["defaultDatasetId"]).iterate_items():
42    print(item)
43
44# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Webpage Text Extractor for LLMs and RAG Data API in Python

The Apify API client for Python is the official library that allows you to use Webpage Text Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Webpage Text Extractor API in JavaScript

Webpage Text Extractor API through CLI

Webpage Text Extractor OpenAPI definition

Webpage Text Extractor API

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