# PDF Scraper (`onidivo/pdf-scraper`) Actor

Scrape and extract text from PDF links.

- **URL**: https://apify.com/onidivo/pdf-scraper.md
- **Developed by:** [Onidivo Technologies](https://apify.com/onidivo) (community)
- **Categories:** Automation, Developer tools
- **Features:** Full permissions
- **Stats:** 523 total users, 1 monthly users, 100.0% runs succeeded, 9 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## PDF Scraper

- [Features](#Features)
- [Cost of usage](#Cost-of-usage)
- [Bugs, issues, features, and feedback](#Bugs,-issues,-features,-and-feedback)
- [Input](#Input)
- [Output](#Output)

Scrape and extract PDF text from PDF files.

### Features

- Scrape multiple files
- Save the file and extracted text to the key-value store
- **Want
  more?** [Let us know here](https://github.com/onidivo/apify-actors/issues/new?title=Apollo+Scraper+-+Feature+Request+-+)

### Cost of usage

When running the actor with memory of **2048 MB** and using datacenter proxies, average consumption is **$4-8** for **1000 middle sized files**.

### Bugs, issues, features, and feedback

You can report issues on the Actor tab "Issues"
or [here](https://github.com/onidivo/apify-actors/issues/new?title==PDF+Scraper+-+) and discuss or
leave your
feedback [here](https://github.com/onidivo/apify-actors/discussions).

### Input

You can provide input either through the editor on the Apify platform or as a JSON object.

The only mandatory field you need to provide is the **PDF URLs (pdfUrls)**.

An example of minimal input:

```json
{
    "pdfUrl": [
        {
            "url": "http://www.pdf995.com/samples/pdf.pdf"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

```

**We recommend using the proxies to overcome blocking and detection if required.**

### Output

The extracted text is saved to the dataset, and it looks like this:

````json
[
    {
        "pdfUrl": "http://www.pdf995.com/samples/pdf.pdf",
	"extractedText": "\n\n\n\n\n\n\n\n\nThe pdf995 suite of products - Pdf995, PdfEdit995, and Signature995 - is a complete solution for your document publishing needs. It provides ease of use, flexibility in format, and industry-standard security- and all at no cost to you.\nPdf995 makes it easy and affordable to create professional-quality documents in the popular PDF file format. Its easy-to-use interface helps you to create PDF files by simply selecting the \"print\" command from any application, creating documents which can be viewed on any computer with a PDF viewer. Pdf995 supports network file saving, fast user switching on XP, Citrix/Terminal Server, custom page sizes and large format printing. Pdf995 is a printer...",
        "extractedTextFileUrl": ""
    }
]

# Changelog

This Actor's version history is a separate document: https://apify.com/onidivo/pdf-scraper/changelog.md

# Actor input Schema

## `pdfUrls` (type: `array`):

The PDF URLs to scrape.
## `savePdfFile` (type: `boolean`):

Save the PDF file in the key-value store
## `downloadTimeout` (type: `integer`):

The timeout in seconds to download a PDF file.
## `proxyConfiguration` (type: `object`):

Provided options to configure connection with a proxy server.

## Actor input object example

```json
{
  "pdfUrls": [
    {
      "url": "http://www.pdf995.com/samples/pdf.pdf"
    }
  ],
  "savePdfFile": false,
  "downloadTimeout": 90,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "pdfUrls": [
        {
            "url": "http://www.pdf995.com/samples/pdf.pdf"
        }
    ],
    "downloadTimeout": 90,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("onidivo/pdf-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "pdfUrls": [{ "url": "http://www.pdf995.com/samples/pdf.pdf" }],
    "downloadTimeout": 90,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("onidivo/pdf-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "pdfUrls": [
    {
      "url": "http://www.pdf995.com/samples/pdf.pdf"
    }
  ],
  "downloadTimeout": 90,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call onidivo/pdf-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,onidivo/pdf-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nFeaCNWEkbpcXxCRd/builds/zXSnbWJh4gfiYs2uY/openapi.json
