Apify
import.io
Octoparse
Bright Data
ParseHub
Zyte
Scrapy
Data Miner
Amazon Redshift
Google BigQuery
Microsoft SQL Server
Microsoft Office Access
Brilliant Database
Firebird
Microsoft SQL Server Compact
CompactView
Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.
Apify Amazon RedshiftBased on our record, Apify should be more popular than Amazon Redshift. It has been mentiond 46 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.
That runs News Scraper on Apify, which is the same forty lines plus the parts that are Tedious rather than hard: both feeds, the nested publisher element, the date Normalisation, and deduplication. - Source: dev.to / 5 days ago
That runs an Apify Actor I maintain, Domain Scraper, because the Tedious parts are the RDAP bootstrap, the vcard unpacking and the provider Fingerprinting rather than the HTTP call. If you would rather do it yourself, Https://rdap.org/domain/ is the whole API and it needs no key. - Source: dev.to / 6 days ago
Data collection: Apify actors, one per source, that scrape the open-data endpoints and normalize them. Quebec RBQ ships a daily bulk CSV (inside a 10.8 MB zip, ~924k rows that dedupe to ~54k active licences). Ontario HCRA has no bulk file โ it's an internal JSON API behind the public registry. - Source: dev.to / 25 days ago
Create a free Apify account and grab your API token from Settings โ API & Integrations. - Source: dev.to / about 1 month ago
BYOK. It runs on your own Apify token. No shared keys, no lock-in, no licensing chokepoint โ a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space. - Source: dev.to / about 2 months 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
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Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
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.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
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.