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

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "startUrls": [
<    {
<      "url": "https://example.com"
<    },
<    {
<      "url": "https://www.iana.org/domains/reserved"
<    },
<    {
<      "url": "https://www.iana.org/help/example-domains"
<    },
<    {
<      "url": "https://docs.apify.com/platform"
<    },
<    {
<      "url": "https://docs.apify.com/platform/storage"
<    },
<    {
<      "url": "https://docs.apify.com/platform/proxy"
<    },
<    {
<      "url": "https://docs.apify.com/sdk/js"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Web_scraping"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/HTML"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Markdown"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/HTTP"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/URL"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Web_page"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Website"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Search_engine"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Natural_language_processing"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Information_retrieval"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Data_extraction"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Document_Object_Model"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/JavaScript"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/TypeScript"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Node.js"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Representational_state_transfer"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Web_API"
<    },
<    {
<      "url": "https://en.wikipedia.org/wiki/Application_programming_interface"
<    }
<  ]
<}
<EOF

# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl "https://api.apify.com/v2/acts/maximedupre~webpage-text-extractor/runs?token=$API_TOKEN" \
<  -X POST \
<  -d @input.json \
<  -H 'Content-Type: application/json'

Webpage Text Extractor for LLMs and RAG Data API

Below, you can find a list of relevant HTTP API endpoints for calling the Webpage Text Extractor Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/acts/maximedupre~webpage-text-extractor/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/acts/maximedupre~webpage-text-extractor/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/acts/maximedupre~webpage-text-extractor?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Webpage Text Extractor API programmatically via the Apify API.

You can choose from:

Webpage Text Extractor API in Python

Webpage Text Extractor API in JavaScript

Webpage Text Extractor API through CLI

Webpage Text Extractor OpenAPI definition

You can start Webpage Text Extractor with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Webpage Text Extractor is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Webpage Text Extractor run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

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