PDF VectorPDF Vector

Academic Fetch

Fetch paper metadata by DOI, PMID, ArXiv ID, or other identifiers

  • Auto-detects DOI, PMID, ArXiv ID, and more
  • Batch fetch up to 100 papers in one request
  • Enriched metadata with citations and PDF links

Academic Fetch

Available as an action in

Maken8nZapier
PubMedarXivOpenAlexSemantic ScholarEurope PMCERICGoogle Scholar

Automate in 3 Steps

1

Pick Your Platform

Choose Make, n8n, or Zapier

2

Add PDF Vector

Search for 'PDF Vector' in apps/nodes list

3

Build Your Workflow

Connect to 1000+ apps

Popular Automations

Ready-to-use workflow templates for Make, n8n, and Zapier

DOI list → Citation database

TriggerNew DOI list uploaded to Google Sheets
PDF Vector
OutputStore full metadata in Airtable citation database
maken8nzapier

References → Formatted bibliography

TriggerReference list parsed for identifiers
PDF Vector
OutputGenerate formatted bibliography in Google Docs
maken8n

Paper alert → Peer review enrichment

TriggerNew paper DOI flagged for peer review
PDF Vector
OutputAttach full metadata and citation count to review dashboard
maken8nzapier

For Developers

Get started in seconds. Copy and run.

import { createClient } from "@pdfvector/client";const client = createClient({ apiKey: "YOUR_API_KEY" });const result = await client.academic.fetch({  ids: ["10.1038/s41586-021-03819-2", "2303.08774", "PMID:33116299"],  fields: ["title", "authors", "year", "doi", "abstract", "totalCitations"],});for (const paper of result.results) {  console.log(`${paper.title} — ${paper.detectedProvider}`);}

Key Features

Multi-ID Support

Accepts DOI, PMID, PMC ID, arXiv ID, and Semantic Scholar ID in a single request.

Auto-Detection

Automatically detects the identifier type so you do not need to specify it manually.

Enrichment

Returns complete metadata including title, authors, abstract, journal, year, citation count, and URLs.

Credit Costs

Simple, predictable pricing

2 credits

per fetch request

Each fetch request costs 2 credits regardless of how many paper IDs you include (up to 100 per request).

Examples
Fetch 1 paper by DOI2 credits
Fetch 50 papers by mixed IDs2 credits
Fetch 100 papers with full metadata2 credits

Everything You Need for Document Processing

Parse, ask questions, and extract structured data from any document type

Frequently Asked Questions

Start Processing Documents Today

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