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Meltano VS Apify Python SDK

Compare Meltano VS Apify Python SDK and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Meltano logo Meltano

Open source data dashboarding

Apify Python SDK logo Apify Python SDK

Build and manage web scraping Actors in the cloud.
  • Meltano Landing page
    Landing page //
    2023-08-04
  • Apify Python SDK Landing page
    Landing page //
    2023-03-16

Meltano features and specs

  • Open Source
    Meltano is open-source, which means that it is free to use and can be customized according to specific business needs. The open-source nature fosters a community-driven approach to improvements and updates.
  • Modular Architecture
    Meltano offers a modular architecture that allows users to mix and match different components like extractors, loaders, and transformers, providing flexibility and adaptability.
  • Integration with Singer Taps
    It is compatible with Singer Taps and Targets, enabling Meltano to connect with a wide variety of data sources and destinations, making data integration seamless.
  • Command Line Interface (CLI)
    Meltano provides a robust CLI that simplifies managing and orchestrating ETL workflows, which can be advantageous for developers who prefer working with command-line tools.
  • Community and Support
    There is a vibrant community and an active support system, which can be helpful for troubleshooting and getting advice on best practices regarding Meltano usage.

Possible disadvantages of Meltano

  • Steep Learning Curve
    For users who are not familiar with command line tools or open-source data integration platforms, Meltano can have a steep learning curve, requiring time and effort to master.
  • Limited Built-in Features
    While being modular offers flexibility, Meltano has fewer built-in features compared to some commercial ETL tools, which might require users to build custom solutions.
  • Variable Support for Sources/Destinations
    The quality and reliability of connectors can vary since Meltano relies on community-contributed Singer Taps, which may not be as stable or well-documented as proprietary alternatives.
  • Complex Configuration
    Initial setup and configuration can be complex, especially when connecting to multiple data sources or when customization is necessary, which may require significant technical expertise.
  • Resource Dependency
    As an evolving open-source project, Meltano may require more resources in terms of time and effort to stay updated with the latest features and community contributions.

Apify Python SDK features and specs

  • Ease of Use
    The Apify Python SDK offers a high-level interface that simplifies the process of accessing Apify services and building web scrapers. This can save developers significant amounts of time and reduce complexity in their projects.
  • Integration
    The SDK is designed to work seamlessly with Apify's platform, making it straightforward to leverage Apify's hosting and scheduling capabilities, as well as accessing datasets and key-value stores.
  • Flexibility
    The SDK supports both headless and headful scraping, providing flexibility for users to choose the mode that best suits their needs.
  • Community and Support
    Apify has an active community and provides robust documentation and support resources, which can be especially beneficial for troubleshooting and learning best practices.

Possible disadvantages of Apify Python SDK

  • Dependency on Apify Platform
    While the SDK simplifies many tasks, it is tightly integrated with Apify's platform. This could be a limitation for developers who are looking for a more standalone solution or who want to minimize dependencies on third-party platforms.
  • Learning Curve
    For developers not familiar with Apify, there might be an initial learning curve to understand how the SDK interacts with the broader Apify ecosystem and to learn its specific conventions and idioms.
  • Limited to Python
    As it is specifically for Python, developers using other programming languages may find this SDK irrelevant, and may need to look for other solutions or develop their own integrations.
  • Cost Considerations
    Using Apify's services involves subscription or usage fees, and developers need to consider these costs when implementing solutions that rely on the platform.

Analysis of Apify Python SDK

Overall verdict

  • The Apify Python SDK is a robust, well-documented toolkit that makes building, running, and scaling web scraping and automation projects (Actors) straightforward for Python developers, offering strong integration with the Apify platform and solid tooling out of the box.

Why this product is good

  • Comprehensive and clear documentation with practical examples and API references
  • Native Python support that integrates seamlessly with popular libraries like BeautifulSoup, Playwright, Scrapy, and HTTPX
  • Built-in tools for managing storage (datasets, key-value stores, request queues) without extra boilerplate
  • Easy deployment and scaling of Actors on the Apify cloud platform, including scheduling and proxy management
  • Handles common scraping challenges like proxy rotation, retries, and browser automation
  • Active maintenance, strong community support, and regular updates

Recommended for

  • Python developers building web scrapers or crawlers
  • Teams needing scalable, cloud-hosted automation and data extraction
  • Data engineers and analysts collecting structured data from websites
  • Developers who want to publish and monetize reusable Actors on the Apify marketplace
  • Projects requiring managed proxy rotation and anti-blocking features

Meltano videos

Meltano tutorial

More videos:

  • Demo - Meltano Sprint Review & Demo Day 2019-11-08
  • Review - Meltano Weekly Sprint Review 2019-11-01

Apify Python SDK videos

No Apify Python SDK videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Meltano and Apify Python SDK)
Developer Tools
100 100%
0% 0
Web Scraping
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Web Scraping API
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 Meltano and Apify Python SDK

Meltano Reviews

Top 11 Fivetran Alternatives for 2024
Meltano was established in 2018 as an open-source project within GitLab to assist their data and analytics team. Itโ€™s a Python framework based on the Singer protocol. Originally developed by the founders of Stitch, the Singer framework saw reduced contributions after Stitch was acquired by Talend, which was later acquired by Qlik. Despite these changes, Meltano has continued...
Source: estuary.dev
Top 10 Fivetran Alternatives - Listing the best ETL tools
The platform provides users with a wide range of integration options, including connectors for databases, APIs, and application logs. Additionally, Meltano provides extensive support for data transformation and orchestration and integrates well with several cloud-based data warehouses.
Source: weld.app

Apify Python SDK Reviews

We have no reviews of Apify Python SDK yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Meltano seems to be a lot more popular than Apify Python SDK. While we know about 26 links to Meltano, we've tracked only 2 mentions of Apify Python SDK. 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.

Meltano mentions (26)

  • AI product development is being held back by data engineering
    Hey HN, Arch CEO here! Our team has been working at the intersection of data engineering and software engineering for a few years now with Meltano (https://meltano.com), and this year, the rise in Generative AI has made it clear that the bottleneck in unlocking the potential value of data has shifted from data integration on data teams to data engineering on software teams, so weโ€™ve decided to do something about... - Source: Hacker News / over 2 years ago
  • How useful is Airbytes in production pipelines?
    We use Meltano for (EL) and Prefect for scheduling. Is not click-ops, but works very well for us! Behind the scenes Meltano wraps up Singer spec similarly like Airbyte does with its connectors. Before that we tried Airbyte (~5 months ago?) and it was so bad.. We could not choose the columns to replicate and the connectors were unstable i.e. Skipping data, all sort of odd errors and so on.. Source: about 3 years ago
  • Ask HN: Who is hiring? (May 2023)
    Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook (https://handbook.meltano.com/) has all the details on... - Source: Hacker News / about 3 years ago
  • Ask HN: Who is hiring? (April 2023)
    Meltano | Full-Time | Remote | https://meltano.com Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook... - Source: Hacker News / over 3 years ago
  • If dbt is the "T" part of an "ELT", what do you use for "EL"?
    We switched from AWS Glue to Meltano for the EL part of ELT and it's been a joy to use. We're moving so much faster now. Source: over 3 years ago
View more

Apify Python SDK mentions (2)

  • How to Scrape LinkedIn Job Postings with Python: A Step-by-Step Guide
    To overcome these challenges, we will utilize the Apify SDK for Python and Residential Proxies, which enable us to route requests through legitimate devices, making our traffic indistinguishable from real users. - Source: dev.to / 7 months ago
  • How to scrape Bluesky with Python
    Then add Apify SDK for Python as a project dependency:. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Meltano and Apify Python SDK, you can also consider the following products

Airbyte - Replicate data in minutes with prebuilt & custom connectors

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

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

Apache Superset - modern, enterprise-ready business intelligence web application

Scraper API - Scale Data Collection with a Simple API.