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from $2.00 / 1,000 accepted rows

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PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows)

Try for free

Extract tables from PDF price lists, invoices and order confirmations into clean rows for Excel, CSV or JSON. Maps your columns, reads EU and US numbers, checks totals and duplicates, returns rejected rows with reasons. Pay only for accepted rows.

Pricing

from $2.00 / 1,000 accepted rows

Rating

0.0

(0)

Developer

Jordan Nabbe

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Automation

Business

Developer tools

You can access the PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "documents": [{
10            "id": "northwind-price-list-2026-10",
11            "base64Document": "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",
12        }],
13    "targetSchema": {
14        "columns": [
15            {
16                "name": "sku",
17                "type": "string",
18                "required": True,
19                "aliases": [
20                    "SKU",
21                    "Item Code",
22                    "Artikel",
23                    "Art.nr.",
24                ],
25            },
26            {
27                "name": "description",
28                "type": "string",
29                "required": True,
30                "aliases": [
31                    "Description",
32                    "Omschrijving",
33                ],
34            },
35            {
36                "name": "quantity",
37                "type": "integer",
38                "required": True,
39                "aliases": [
40                    "Qty",
41                    "QTY",
42                    "Aantal",
43                ],
44            },
45            {
46                "name": "unit_price",
47                "type": "number",
48                "required": True,
49                "aliases": [
50                    "Unit price",
51                    "Unit Price",
52                    "Prijs",
53                ],
54            },
55            {
56                "name": "line_total",
57                "type": "number",
58                "required": True,
59                "aliases": [
60                    "Line total",
61                    "Total",
62                    "Totaal",
63                ],
64            },
65        ],
66        "uniqueBy": ["sku"],
67        "allowUnexpectedColumns": False,
68        "arithmeticChecks": [{
69                "operands": [
70                    "quantity",
71                    "unit_price",
72                ],
73                "operator": "multiply",
74                "result": "line_total",
75                "tolerance": 0.01,
76            }],
77    },
78    "options": {
79        "caseInsensitiveHeaders": True,
80        "trimValues": True,
81        "emptyStringIsNull": True,
82        "failOnAnyRejectedRow": False,
83        "numberFormat": "auto",
84        "dateFormat": "auto",
85    },
86}
87
88# Run the Actor and wait for it to finish
89run = client.actor("first_watch/pdf-table-extraction").call(run_input=run_input)
90
91# Fetch and print Actor results from the run's dataset (if there are any)
92print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
93for item in client.dataset(run.default_dataset_id).iterate_items():
94    print(item)
95
96# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

PDF Table Extractor: PDF to Excel, CSV, JSON API in Python

The Apify API client for Python is the official library that allows you to use PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) API in JavaScript

PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) API through CLI

PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) OpenAPI definition

PDF Table Extractor - PDF to Excel, CSV & JSON (validated rows) API

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