Datamam: Web Scraping and Data Extraction Services
Datamam helps mid-market and enterprise companies automate the collection of market intelligence. It is designed for teams that need to convert unstructured websites into queryable APIs for pricing or research.
At a glance
- Category
- Data & Analytics
- Best for
- Enterprise companies, Mid-market companies, Marketing teams, Pricing teams, Data teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Competitive Pricing Monitoring, Consumer Sentiment Analysis, Merchant Directory Auditing, Market Research and Benchmarking, AI Training Data Sourcing
- Integrations
- JSON export, CSV export, Parquet export, API delivery, Snowflake
- Official website
- datamam.com
Datamam provides services for extracting and processing data from the web. The company focuses on the data pipeline, including cleaning, normalization, and enrichment to make data ready for use in BI platforms or AI models.
The service is designed for organizations such as marketing, sales, and pricing departments that need to monitor high volumes of data across multiple sources.
Capabilities include converting websites into APIs, managing anti-bot protections, and custom AI model development. The team manages session handling and proxy rotation to maintain data flows.
Buyers should confirm if their specific data volume and update frequency requirements align with Datamam's consultative pricing and custom delivery models.
Key Features
Automated extraction of structured and unstructured data from public websites.
Transforms website data into RESTful APIs, including multi-source and high-frequency options.
Supports data cleaning, normalization, and aggregation to prepare raw data for analysis.
Processes extracted data through a governed data pipeline for structured enrichment.
Supports synthetic data generation, data augmentation, and metadata classification.
Uses rotating proxies and adaptive access strategies to handle CAPTCHAs and rate limits.
Use Cases
Extracting and tracking competitor prices and promotions across multiple retail or B2B sites.
Monitoring websites to identify customer perceptions and industry trends.
Auditing merchant directories for accuracy and consistency.
Identifying industry trends and performing competitor benchmarking using structured web data.
Collecting and augmenting datasets for the development of custom AI models.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Datamam is designed for mid-market and enterprise companies, specifically marketing, pricing, and data teams that require high-volume, structured web data.
Data can be delivered via API or in formats such as JSON, CSV, and Parquet.
They use an adaptive access strategy that includes rotating proxies, variable pacing, and integrated CAPTCHA-solving solutions.
Specific pricing is not listed publicly; Datamam uses flexible, customized pricing structures tailored to the scale and complexity of each project.
Source category: Data & Analytics
Source subcategory: Web Scraping API
