PDF to Markdown with Tables for AI Agents

PDF to Markdown with Tables for AI Agents

PDF, Word, PowerPoint and Excel to clean Markdown plus every table as JSON rows, OCR for scans.

• Apify Store: https://apify.com/fluidfaith/pdf-to-markdown-tables
• MCP server (remote, streamable HTTP): https://mcp.apify.com/?tools=fluidfaith/pdf-to-markdown-tables
• Price: $0.008 per document + $0.002 per page + $0.002 per table. Failed items are free, and your maximum charge per run is never exceeded.

Claude Code, Cursor, VS Code (MCP config)

{
  "mcpServers": {
    "pdf-to-markdown-tables": {
      "url": "https://mcp.apify.com/?tools=fluidfaith/pdf-to-markdown-tables",
      "headers": { "Authorization": "Bearer ${APIFY_TOKEN}" }
    }
  }
}

Claude Code one-liner: claude mcp add --transport http pdf-to-markdown-tables "https://mcp.apify.com/?tools=fluidfaith/pdf-to-markdown-tables" --header "Authorization: Bearer $APIFY_TOKEN"

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("fluidfaith/pdf-to-markdown-tables").call(run_input={"urls": ["https://www.census.gov/retail/mrts/www/data/pdf/ec_current.pdf"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

LangChain

from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("fluidfaith/pdf-to-markdown-tables")

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fluidfaith/pdf-to-markdown-tables').call({"urls": ["https://www.census.gov/retail/mrts/www/data/pdf/ec_current.pdf"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);