Datamam

By Datamam

Managed web data extraction service that collects and delivers structured data from public sources.

Web ScrapingManaged ServiceData CollectionCustom Datasets
Overview

What is Datamam?

Datamam is an enterprise web data extraction provider that collects, processes, and enriches structured and unstructured data from public sources. It runs as a managed service, with its data engineers configuring scrapers, handling proxies, anti-ban measures, and CAPTCHA solving, and running quality checks. Data covers pricing, ecommerce listings, company and B2B leads, events, and consumer sentiment. Retail, finance, real estate, marketing, and market research teams use it for competitor and market analysis.

Best for
Market ResearchersEcommerce TeamsFinancial AnalystsPricing TeamsData Science Teams
Product snapshot
Category
Data Extraction & Collection
Best for
Managed web scraping
Deployment
Cloud
Free trial
Yes
Integrations
Snowflake, AWS Data Exchange
AI features
No
Key features

Key features of Datamam

Managed scraping

Data engineers build, run, and monitor scrapers on your behalf.

Anti-ban handling

Includes proxies, anti-ban measures, and CAPTCHA solving for reliable collection.

Unlimited data sources

Collects from ecommerce, directories, social, and review sites as needed.

Custom delivery formats

Delivers datasets in the formats and schedules each client requires.

Quality assurance

Dedicated QA staff verify and clean data before it is delivered.

Compliance coverage

Collection programs are scoped to meet GDPR and CCPA requirements.

Reviews

Datamam reviews

Overall

Nobody has reviewed

What users like

  • Fully managed by data engineers
  • Handles proxies and CAPTCHA solving
  • Covers many public data sources
  • Free samples for data requirements

What users dislike

  • Pricing is not published publicly
  • Enterprise-level costs for datasets
  • Less control than self-serve tools
  • No self-service scraping interface

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Integrations

Datamam integrations

Datamam delivers collected data into the storage and analytics environments clients already use rather than requiring a separate dashboard. Datasets are offered through data marketplaces including Snowflake Data Marketplace, AWS Data Exchange, and Google Cloud Analytics Hub, and the company lists Google Marketing Platform among its integrations. API access is available for pulling data programmatically, and delivery formats and schedules are set per project, so outputs can feed data warehouses, BI dashboards, or pricing systems. Typical sources it collects from include Amazon, Google, Yelp, YellowPages, LinkedIn, Crunchbase, YouTube, Reddit, Walmart, and eBay, covering ecommerce, company, and sentiment data.

FAQ

Frequently asked questions about Datamam