PDF Text Extractor
No credit card required
PDF Text Extractor
No credit card required
PDF Text Extractor allows you to extract text from PDF files. It also supports chunking of the text to prepare the data for usage with large language models.
You can access the PDF Text Extractor programmatically from your own Python 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 Integrations settings in Apify Console.
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 = { "urls": ["https://arxiv.org/pdf/2307.12856"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("jirimoravcik/pdf-text-extractor").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startPDF Text Extractor API in Python
The Apify API client for Python is the official library that allows you to use PDF Text Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Jiří MoravčíkActor Metrics
33 monthly users
-
18 stars
>99% runs succeeded
2.4 days response time
Created in Oct 2023
Modified 3 months ago
