
Apify
import.io
Octoparse
Bright Data
ParseHub
Zyte
ScrapingBee
Scrapy
Datacoves
dbt
Mozart Data
Keboola
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.
Accelerate development with AI assistance that's integrated securely with your LLM of choice.
The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants. Datacoves also offers managed Airbyte, Datahub, and Superset.
Apify
DatacovesDatacoves's answer:
We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.
Datacoves's answer:
Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.
Datacoves's answer:
Mid to Large size companies who value doing things well.
Datacoves's answer:
Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.
Datacoves's answer:
Datacoves runs on Kubermetes on our SaaS or in a customer's private cloud.
Datacoves's answer:
I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.
Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.
The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.
Based on our record, Apify seems to be a lot more popular than Datacoves. While we know about 48 links to Apify, we've tracked only 2 mentions of Datacoves. 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.
The first network smoke labeled https://apify.com/ inconclusive even though the page was healthy. The response carried a Content Security Policy header larger than aiohttp's default 8 KB field limit. The client failed while parsing headers, before I saw the 200. - Source: dev.to / 8 days ago
Native @apify scheduling, dataset exports (CSV/JSON), webhooks, and it's callable by AI agents via Apify MCP. - Source: dev.to / 20 days ago
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 / about 1 month 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 / about 1 month 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 — it's an internal JSON API behind the public registry. - Source: dev.to / about 2 months ago
Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: over 3 years ago
Check out datacoves.com more flexibility. Source: over 3 years ago
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.
dbt - dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Mozart Data - The easiest way for teams to build a Modern Data Stack
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Keboola - Keboola is a next-gen data platform. It simplifies and accelerates data engineering, so companies get better results from their data operations.