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from $2.13 / 1,000 pdf extracteds

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PDF Text, Tables & Metadata Extractor (from URLs)

Try for free

Turn PDF links into clean data: full text and page-by-page text, tables (ruled and number grids), links, emails and metadata (title, author, dates, page count). Page ranges, password PDFs, scanned-file detection. Pay only for PDFs with text; failures are free. No browser, no API key.

Pricing

from $2.13 / 1,000 pdf extracteds

Rating

0.0

(0)

Developer

Larkmoor Data

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Developer tools

You can access the PDF Text, Tables & Metadata Extractor (from URLs) 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "pdfUrls": [
12        "https://www.irs.gov/pub/irs-pdf/fw9.pdf",
13        "https://arxiv.org/pdf/1706.03762"
14    ]
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("larkmoor/pdf-text-extractor").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

PDF to Text, Tables & JSON Extractor API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use PDF Text, Tables & Metadata Extractor (from URLs) API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

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PDF Text, Tables & Metadata Extractor (from URLs) API in Python

PDF Text, Tables & Metadata Extractor (from URLs) API through CLI

PDF Text, Tables & Metadata Extractor (from URLs) OpenAPI definition

PDF Text, Tables & Metadata Extractor (from URLs) API

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