Software Alternatives, Accelerators & Startups

Takehome VS ParseHub

Compare Takehome VS ParseHub and see what are their differences

Takehome logo Takehome

Effective and humane coding challenges for candidates

ParseHub logo ParseHub

ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
  • Takehome Landing page
    Landing page //
    2022-07-04
  • ParseHub Landing page
    Landing page //
    2021-09-12

Takehome videos

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ParseHub videos

ParseHub Tutorial: Scrape Ratings and Reviews from a Website

More videos:

  • Tutorial - ParseHub Tutorial: Scraping Product Details from Amazon

Category Popularity

0-100% (relative to Takehome and ParseHub)
Online Learning
100 100%
0% 0
Web Scraping
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Extraction
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Takehome and ParseHub

Takehome Reviews

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ParseHub Reviews

Best Data Scraping Tools
Parsehub is a fantastic tool for people who want to extract data from websites without coding. It is used widely by data analysts, journalists, data scientists, and many fields. Parse Hub is easier to use; you can click on the data that you are working on to build a web scraper, which then exports the data in excel format or JSON.

Social recommendations and mentions

Based on our record, ParseHub should be more popular than Takehome. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Takehome mentions (2)

  • We compiled a free library of ~150 realistic eng take-home tests and ranked them
    I have used https://takehome.io/. The timer starts when they check out the repo containing the project and instructions. - Source: Hacker News / almost 2 years ago
  • Ask HN: Companies of one, what is your tech stack (2021)?
    I run https://takehome.io and https://clubman.app on the same stack. Backend in Go with a simple MVC pattern, no framework. All data in Postgres. Front end is server rendered HTML using MaterializeCSS for components, migrating to TailwindUI. Hosted on GCP using Cloud Run, deployed using the gcloud cli orchestrated in a makefile. Database is a Cloud SQL instance. Google Cloud Tasks for the message queue. Amazon SES... - Source: Hacker News / almost 3 years ago

ParseHub mentions (3)

  • Home Depot price data using IMPORTXML?
    I've heard some folks have success with "parsehub.com", though I once tried it for a project and found it a bit intimidating... Source: over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Parsehub.com — Extract data from dynamic sites, turn dynamic websites into APIs, 5 projects free. - Source: dev.to / almost 3 years ago
  • Turn any website into an API with no code
    Parsehub is a powerful web scraping GUI tool for efficient fetching and manipulating data from any webpage. It helps you create an API output for a given website. You can even sanitize your content by using regex or replace function. So the input is a URL and the output is a structured json file. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Takehome and ParseHub, you can also consider the following products

Real Dev - Real-life coding skill challenge

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

hackattic - No nonsense, real world programming challenges

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.