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Papers With Code Scraper - ML Research Paper Data

Scrape Papers With Code research data. Extract papers, benchmarks, datasets, code repos, and state-of-the-art results from ML research.

Pricing

Pay per usage

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Developer

Donny Nguyen

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You can access the Papers With Code Scraper - ML Research Paper Data 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 Integrations settings 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    "searchQuery": "machine learning",
10    "maxResults": 100,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("tropical_quince/paperswithcode-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Papers With Code Scraper - ML Research Data API in Python

The Apify API client for Python is the official library that allows you to use Papers With Code Scraper - ML Research Paper Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Papers With Code Scraper - ML Research Paper Data API in JavaScript

Papers With Code Scraper - ML Research Paper Data API through CLI

Papers With Code Scraper - ML Research Paper Data OpenAPI definition

Papers With Code Scraper - ML Research Paper Data API

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