The NanoScrape Pdf Extractor Scraper is an Apify actor that extracts structured web data from Pdf Extractor. It returns 12 fields per result including url, file_size_bytes, success, error, page_count, priced at $5/1k pdf, with no API key or monthly subscription required.
Extract text and metadata from PDF URLs. Returns page content, page count, author, title, and scanned/encrypted flags. Bulk processing supported. Pay-per-result.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
url | string | https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf | Core | 100% |
scraped_at | string | 2026-09-15T06:57:03Z | Metadata | 100% |
file_size_bytes | integer | 13264 | Other | 100% |
success | boolean | true | Other | 100% |
error | string | Other | — | |
page_count | integer | 1 | Other | 100% |
text | string | Dummy PDF file | Other | 100% |
text_length | integer | 16 | Other | 100% |
metadata | object | {"title": "", "author": "Evangelos Vlachogiannis", "subject": "", "keywords": [] | Other | 100% |
is_encrypted | boolean | false | Other | 100% |
is_scanned | boolean | true | Other | 100% |
needs_ocr | boolean | true | Other | 100% |
{
"pdfUrls": [
"https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
"https://www.irs.gov/pub/irs-pdf/f1040.pdf"
],
"maxFileSizeMB": 50,
"extractMetadata": true,
"extractText": true,
"timeoutSeconds": 60
}{
"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
"file_size_bytes": 13264,
"success": true,
"error": "",
"page_count": 1,
"text": "\nDummy PDF file\n",
"text_length": 16,
"metadata": {
"title": "",
"author": "Evangelos Vlachogiannis",
"subject": "",
"keywords": [],
"creator": "Writer",
"producer": "OpenOffice.org 2.1",
"creation_date": "D:20070223175637+02'00'",
"modification_date": ""
},
"is_encrypted": false,
"is_scanned": true,
"needs_ocr": true,
"scraped_at": "2026-09-15T06:57:03Z"
}Priced at $0.0050 per pdf. 10 pdfs ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Click Open on Apify above to run pdf-extractor in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.
Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~pdf-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/pdf-extractor').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);# pip install apify-client
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/pdf-extractor').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)// dotnet add package Apify.Client
using Apify.Client;
var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/pdf-extractor").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;
ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/pdf-extractor").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.
https://mcp.apify.com?tools=santamaria-automations/pdf-extractorExample prompt once connected:
"Use <code>pdf-extractor</code> to run a scrape on my target list and give me the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/pdf-extractor.https://api.apify.com/v2/acts/santamaria-automations~pdf-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~pdf-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~pdf-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~pdf-extractor/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$5.00 / 1,000 pdf, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.
12 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.
Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.
Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.