Apache Pig
Looker
Jupyter
Google BigQuery
Presto DB
Databricks
Rakam
Informatica
Simple Scraper
Octoparse
Diggernaut
Scraper API
Agenty
eScraper
Crawlbase
artoo.js
Simple scraper is the easiest way to scrape the web โ turn any website into an API in seconds and use ready-made scraping recipes to scrape popular sites with ease.
Apache Pig Simple ScraperApache Pig is recommended for data engineers and analysts who are working in Apache Hadoop environments and need to perform ETL (Extract, Transform, Load) operations on large datasets. It is also suitable for teams looking to leverage existing Hadoop infrastructures without delving into complex Java MapReduce programming or when migrating legacy processing scripts based on Pig Latin.
Based on our record, Simple Scraper seems to be a lot more popular than Apache Pig. While we know about 22 links to Simple Scraper, we've tracked only 2 mentions of Apache Pig. 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.
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 3 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / almost 5 years ago
Data extraction: https://simplescraper.io A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html'). Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402^ ^ https://simplescraper.io/blog/x402-payment-protocol/. - Source: Hacker News / 5 months ago
1. Clicking the box programmatically โ possible but inconsistent 2. Outsourcing the task to one of the many CAPTCHA-solving services (2Captcha etc) โ better 3. Using a pool of reliable IP addresses so you don't encounter checkboxes or turnstiles โ best I run a web scraping startup (https://simplescraper.io) and this is usually the approach. It has become more difficult, and I think a lot of the AI crawlers are... - Source: Hacker News / about 1 year ago
Making my data extraction Saas (https://simplescraper.io) more LLM friendly. Markdown extraction, improved Google search, workflows - search for this terms, visit the first N links, summarize etc. Big demand for (or rather, expectation of) this lately. - Source: Hacker News / almost 2 years ago
Things are much easier for one-person startups these daysโit's a gift. I remember building a todo app as my first SaaS project, and choosing something called Stormpath for authentication. It subsequently shut down, forcing me to do a last-minute migration from a hostel in Japan using Nitrous Cloud IDE (which also shut down). Just pain upon pain.[1] Now, you can just pick a full-stack cloud service and run with it.... - Source: Hacker News / about 2 years ago
Simplescraper โ Trigger your webhook after each operation. The free plan includes 100 cloud scrape credits. - Source: dev.to / over 2 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Scraper API - Scale Data Collection with a Simple API.
