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Dataant Data Products: APIs & Datasets
Dataant Pricing & Cost
Various pricing models are applicable:
- One-Time Purchase (pay per filtered dataset row)
- One-Time Purchase (pay per the whole dataset, usually more economically efficient)
- Subscription Based (flexible delivery period, flexible filtering options, etc.)
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About Dataant
Dataant in a Nutshell
DATAANT was founded in 2019 by 2 Ukrainian cybersecurity specialists.
The main goal behind the start of the venture was to prove the data extraction technology approach, so the web scraping service was started as a pilot project - ScrapingAnt.
ScrapingAnt extracts millions of web pages using a unique unlimited concurrency technology that allows batch scraping without additional costs.
DATAANT became a data-focused company that helps companies extract, process, and store data from various public sources.
Country Coverage
Data Offering
We rapidly provide the most accurate web-based data by using the unique data collection and extraction technology proved by dozens of users.
Use Cases
E-commerce:
- Get all the advantages by collecting competitor products and prices
- Find the sweet spots by getting the best seller products
- Collect seller information from the e-commerce marketplace to provide direct B2B services
Real estate: - Analyze a particular territory’s real estate pricing and popularity
- Extend the real estate infrastructure information using maps data
- Predict price changes based on demand and various of indirect indicators
Data Sources & Collection
All DATAANT’s data is collected using the in-house data collection service ScrapingAnt from all sorts of public sources and concerning data owners.
Key Differentiators
DATAANT uses unique data mining technology, which excludes all the middlemen and keeps pricing affordable.
The key to the technology is the in-house web scraping service ScrapingAnt which provides unlimited data scraping scaling without additional efforts or extra pricing, so any amount of data can be extracted simultaneously.
The data mining capabilities are proven by hundreds of small and medium companies, which keeps the technology reliable.
Data Privacy
DATAANT doesn’t collect and store personal information.
DATAANT uses only white-hat data mining techniques and respects the source policies.
All the collected data is stored in encrypted databases without third-party access.
All the data processing is GDPR compliant and obeys EU laws.
Integrations
Frequently asked questions about Dataant
What does Dataant do?
DATAANT is a data-first company with the unique data extraction technology based on the in-house web scraping service ScrapingAnt
How much does Dataant cost?
Dataant’s APIs and datasets range in cost from $1 / 10.000 API calls to $900 / purchase. Dataant offers free samples for individual data requirements. Get talking to a member of the Dataant team to receive custom pricing options, information about data subscription fees, and quotes for Dataant’s data offering tailored to your use case.
What kind of data does Dataant have?
Real Estate Data, Consumer Review Data, Ecommerce Data, Web Scraping Data, and 18 others
What data does Dataant offer?
We rapidly provide the most accurate web-based data by using the unique data collection and extraction technology proved by dozens of users.
How does Dataant collect data?
All DATAANT’s data is collected using the in-house data collection service ScrapingAnt from all sorts of public sources and concerning data owners.
What’s Dataant’s data privacy policy?
DATAANT doesn’t collect and store personal information. DATAANT uses only white-hat data mining techniques and respects the source policies. All the collected data is stored in encrypted databases without third-party access. All the data processing is GDPR compliant and obeys EU laws.
What are the best use cases for Dataant’s data?
E-commerce: Get all the advantages by collecting competitor products and prices Find the sweet spots by getting the best seller products Collect seller information from the e-commerce marketplace to provide direct B2B services Real estate: Analyze a particular territory’s real estate pricing and popularity Extend the real estate infrastructure information using maps data Predict price changes based on demand and various of indirect indicators
What platforms is Dataant integrated with?
Google Cloud Analytics Hub and GitHub