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About Datahut

Datahut is a data extraction software from Datahut that helps businesses gather and analyze web data. It includes features such as automated web scraping, data management tools, and customizable extraction templates so businesses can efficiently obtain valuable insights from online sources. Datahut supports various data formats and offers built-in data cleaning and validation, ensuring the accuracy and reliability of the collected information. The platform is designed for users looking to simplify their data acquisition process while maintaining high-quality results. Key capabilities: automated web scraping data management tools customizable extraction templates data cleaning data validation Best for: businesses and analysts that need reliable web data for decision-making and research.

Datahut Details

Vendor
Datahut
Year Launched
2015
Location
2035 Sunset Lake Road, Suite B-2 Newark, New castle, Delaware 19702, US
Deployment
cloud
Training Options
in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Arabic, Hindi
Users
Data analysts, product managers, e-commerce teams, business owners, marketing managers, sales professionals, data scientists, CTOs, startups, procurement teams.
Industries Served
E-commerce, retail, market research, logistics, real estate, travel, business intelligence, financial services, data aggregation, competitor analysis, wholesale distribution.
Tags
Data Extraction, Web Scraping, Data Mining, Data Automation, Data Collection, Web Data Extraction.

Datahut's In-App Market Place

Does Datahut have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Aud (A$), Cad (C$), Jpy (¥), Inr (₹), Chf (chf), Cny (¥), Krw (₩)

Pros & Cons

  • Fully managed web scraping (no coding/servers needed).
  • Guarantees clean, accurate data or money back.
  • Extracts from complex websites; high data coverage.
  • Strong customer support.
  • Cost-effective for large-scale data needs.
  • Fast turnaround and reliable.
  • Potential delays in sample approval/fixes.
  • Less ideal for very simple, low-volume scraping where DIY tools might suffice.

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