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PDF Text Extractor — Text & Metadata from URLs

Try for free

Download PDF files by URL and extract their text and metadata (page count, title, author) — whole-document or per-page. Honest per-URL status. No auth.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

alaudin burki

Actor stats

Bookmarked

Total users

Monthly active users

6 hours ago

Last modified

PDF Text Extractor - PDF to Text & Data API

Below, you can find a list of relevant HTTP API endpoints for calling the PDF Text Extractor — Text & Metadata from URLs 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 API & Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/actors/alaudinburki~pdf-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/actors/alaudinburki~pdf-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/actors/alaudinburki~pdf-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 PDF Text Extractor — Text & Metadata from URLs API programmatically via the Apify API.

You can choose from:

PDF Text Extractor — Text & Metadata from URLs API in Python

PDF Text Extractor — Text & Metadata from URLs API in JavaScript

PDF Text Extractor — Text & Metadata from URLs API through CLI

PDF Text Extractor — Text & Metadata from URLs OpenAPI definition

You can start PDF Text Extractor — Text & Metadata from URLs 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 PDF Text Extractor — Text & Metadata from URLs is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the PDF Text Extractor — Text & Metadata from URLs 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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(1)

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Turn any PDF, DOCX, TXT, or HTML document into clean, LLM-ready text + Markdown with metadata (title, pages, word count) and an optional AI summary. The document counterpart to a web reader — built for RAG ingestion, document Q&A, and AI agents (LangChain, LlamaIndex). Fast, structured, single-call.

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