PDF to Text Extractor for LLMs – Bulk PDF URLs avatar

PDF to Text Extractor for LLMs – Bulk PDF URLs

Pricing

$2.00 / 1,000 documents

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PDF to Text Extractor for LLMs – Bulk PDF URLs

PDF to Text Extractor for LLMs – Bulk PDF URLs

Extract text and metadata from public PDF URLs, whole-document or per page with page markers, with token estimates for LLM pipelines. Flags scanned PDFs without a text layer.

Pricing

$2.00 / 1,000 documents

Rating

0.0

(0)

Developer

CarrierDaily

CarrierDaily

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

7 days ago

Last modified

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Extract text and metadata from public PDF URLs, whole-document or per page with page markers, with token estimates for LLM pipelines. Flags scanned PDFs without a text layer.

Why this actor

  • Per-page mode for citations; no browser; cheaper than OCR-first tools for text PDFs.
  • Pay only for results: $2.00 per 1,000 documents, no start fee, failed lookups are free.
  • Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
  • Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

  • RAG over reports, papers and manuals
  • Contract and filing analysis
  • Search indexing
  • Dataset building

Input

FieldTypeDescription
urlsarrayPublicly accessible PDF files.
splitPagesbooleanOutput each page separately (good for RAG citations).
maxPagesPerDocintegerSafety cap.
maxItemsinteger0 = no limit. Caps cost.

Example input:

{
"urls": [
"https://arxiv.org/pdf/1706.03762",
"https://www.irs.gov/pub/irs-pdf/fw9.pdf"
]
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
"url": "https://arxiv.org/pdf/1706.03762",
"title": "",
"author": "",
"creator": "LaTeX with hyperref",
"createdDate": "D:20240410211143Z",
"pageCount": 15,
"fileSizeBytes": 2215244,
"text": "<!-- page 1 -->\nProvided proper attribution is provided, Google hereby grants permission to\nreproduce the tables and figures in this paper solely for use in journalistic or\nscholarly works.\nAttention Is All You Need\nAshish Vaswani\u2217\nGoogle B\u2026",
"wordCount": 6171,
"approxTokens": 8207,
"extractedAt": "2026-10-14T23:57:49+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.002 per document (= $2.00 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.