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LeetCode Interview Questions Scraper

Pricing

$10.00 / 1,000 results

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LeetCode Interview Questions Scraper

LeetCode Interview Questions Scraper

Developed by

Harvest Data

Maintained by Community

Extract interview experiences and questions related to a specific company from LeetCode. This tool helps job seekers analyze common interview trends, question types, and candidate experiences.

0.0 (0)

Pricing

$10.00 / 1,000 results

1

Monthly users

6

Runs succeeded

>99%

Last modified

a month ago

You can access the LeetCode Interview Questions Scraper 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.

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    "company": "google",
10    "maxToScrape": 250,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("harvest/leetcode-interview-questions-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

LeetCode Interview Questions Scraper API in Python

The Apify API client for Python is the official library that allows you to use LeetCode Interview Questions Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$10.00