
Bright Data
Zyte
ScrapeHero
DataOx
Octoparse
Leading a Progress Unified by Data

import.io
Octoparse
ScrapingBee
Firecrawl
ParseHub
Scrapy
Outscraper
Apify is a web scraping and automation platform that can turn any website into an API.

Which is more popular?
Based on our record, Apify seems to be more popular. It has been mentioned 65 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | datamam.com | apify.com |
| Pricing | ||
| Company | — | Startup from the Czech Republic · 10 - 19 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


Datamam is a fully managed external data acquisition and web scraping service for enterprises that need reliable, structured, AI-ready data without building or maintaining their own collection infrastructure. Datamam manages the complete data pipeline, from source discovery and custom scraper...
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...
What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Datamam yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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Apify product news - 2019/01/30
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Datamam and Apify.
Datamam's answer
Datamam combines fully managed web scraping, external data acquisition, data enrichment, and data engineering into a single end-to-end service.
Unlike self-service scraping tools that require customers to build and maintain their own workflows, Datamam manages the entire data lifecycle, from source discovery and custom crawler development to large-scale collection, cleaning, normalization, quality assurance, and recurring delivery.
Our tailored approach focuses on each client's business objectives, providing structured, reliable, AI-ready data that integrates into existing analytics, business intelligence, and enterprise systems. Clients receive the data they need without the operational burden of managing complex extraction infrastructure.
Datamam's answer
Datamam is the right choice for organizations that need reliable data outcomes rather than another tool to configure, operate, and maintain.
We provide custom-built, fully managed data acquisition solutions that handle complex websites, large-scale collection, recurring monitoring, data cleaning, enrichment, and delivery. This allows internal teams to focus on analysis, innovation, and business decisions instead of maintaining scraping infrastructure.
Datamam combines technical expertise, dedicated support, flexible integrations, and a strong focus on data quality. Every solution is tailored to the client's requirements, making Datamam a valuable partner for businesses with complex or ongoing external data needs.
Datamam's answer
Datamam serves enterprises, data-driven organizations, and businesses that require reliable, scalable external data without building or maintaining their own data collection infrastructure.
Our primary audience includes CTOs, Heads of Data, data engineers, business intelligence professionals, AI and machine learning teams, market researchers, pricing analysts, and product teams.
We support organizations across major industries, including e-commerce, finance, real estate, healthcare, technology, travel, logistics, and many more.
Datamam is particularly valuable for businesses that need recurring web data collection, competitive intelligence, price monitoring, data enrichment, AI-ready datasets, or custom data integrations.
Datamam's answer
Datamam was built around a clear mission: helping organizations transform complex, fragmented information into reliable, actionable data.
Over more than 10 years, Datamam has expanded its capabilities beyond custom web scraping to provide comprehensive data acquisition, enrichment, data engineering, market intelligence, and AI-ready data services.
Throughout this evolution, our approach has remained focused on understanding each client's business objectives, developing tailored solutions, and managing the technical complexity of collecting, processing, and delivering high-quality data.
Today, Datamam helps organizations worldwide access and use external data more efficiently through scalable, fully managed data solutions.
Datamam's answer
Datamam uses custom web scraping and crawling solutions, automated data collection workflows, scalable data processing pipelines, and data integration technologies to deliver fully managed external data services.
Our technical capabilities include web crawling, structured data extraction, ETL processes, data cleaning, normalization, deduplication, enrichment, quality assurance, and recurring data delivery.
Depending on project requirements, structured datasets can be delivered through APIs, SFTP, cloud storage, databases, or custom integrations.
Our technology approach is tailored to each client's requirements, with an emphasis on scalability, reliability, data quality, and compatibility with existing enterprise systems.
Datamam's answer
Share your experience with using Datamam and Apify. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Datamam yet. Be the first one to post
It depends on the job. For turning known URLs into clean Markdown, a scraping API such as Spicrawl, Firecrawl or Jina Reader is the simplest. For crawling whole sites, Firecrawl, Crawl4AI, Context.dev and Apify follow...
This is another tinytask alternative. For you to link various web services and APIs, Apify has provided many web integration options. You can add data processing and customised computation processes in addition to...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Datamam since Nov 2026.
When Apify retired rental pricing for Actors on October 1, 2026, a lot of developers lost the pricing model that actually fit their heaviest customers. Pay-per-event works well for long-tail and agent-style usage. It is a worse fit for... - Source: dev.to / about 6 hours ago
It takes about 15 minutes and runs on Apify. Disclosure: I built both Actors used here. - Source: dev.to / 5 days ago
A free Apify account. The free plan includes $5 of usage every month. - Source: dev.to / 6 days ago
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