Simple Scraper
Octoparse
Diggernaut
Scraper API
Agenty
eScraper
Crawlbase
artoo.js
Amazon Redshift
Google BigQuery
Microsoft SQL Server
Microsoft Office Access
Brilliant Database
Firebird
Microsoft SQL Server Compact
CompactView
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.
Simple Scraper Amazon RedshiftAmazon Redshift might be a bit more popular than Simple Scraper. We know about 30 links to it since March 2021 and only 22 links to Simple Scraper. 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.
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
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 6 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, youโve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming โ one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / over 1 year ago
Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. Itโs a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / over 1 year ago
With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / almost 2 years ago
They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / over 2 years ago
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.
Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.
Scraper API - Scale Data Collection with a Simple API.
Microsoft Office Access - Access is now much more than a way to create desktop databases. Itโs an easy-to-use tool for quickly creating browser-based database applications.
