Top 10 DataCrops Alternatives & Competitors

Research alternative solutions to DataCrops on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to DataCrops include ease of use and reliability. The best overall DataCrops alternative is Decodo (formerly Smartproxy). Other similar apps like DataCrops are Fivetran, NetNut.io, Oxylabs, and Apify. DataCrops alternatives can be found in Data Extraction Tools but may also be in Proxy Network Software or ETL Tools.

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Best Paid & Free Alternatives to DataCrops

Decodo (formerly Smartproxy)
Fivetran
NetNut.io
Oxylabs
Apify
Bright Data
Hevo Data
Skyvia

Top 10 Alternatives to DataCrops Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how DataCrops stacks up to the competition and find the best product for your business.

Decodo (formerly Smartproxy)

By Decodo (formerly Smartproxy)

4.6/5

(474)

Product Description

Decodo kicked off as a self-service-based proxy infrastructure, offering transparently sourced residential, mobile, and datacenter IPs worldwide. Today, having 125M+ proxies and a bunch of powerful web scraping solutions in our product portfolio, we aim to become the leading web data gathering platform and dominate the data-as-a-service market. We have served more than 50K users: Fortune 500 companies and solopreneurs alike find just what they need with us!

Categories in common with DataCrops:

By Fivetran

Product Description

Categories in common with DataCrops:

By NetNut

Product Description

NetNut provides the fastest residential proxies in the market to businesses. Our Residential proxy network has over 5M proxies and growing on a weekly basis. NetNut gets its IPs directly from ISPs and does not depend on an end-user or P2P networks, and offers particular advantages over others such as: • Faster proxy speed and one-hop connectivity • 24/7 IP availability • No dependency on exit nodes connectivity • Premium Static IPs • Virtually zero fail rate • Access to all the web including search engines • Much cheaper $/GB rates • Dedicated proxy pools • US city-state selection Residential proxies offer IP addresses that are connected to real residential addresses, making them impossible to ban. This allows businesses to effectively hide their real IP, work around Geo-blocked content or scrape, and harvest data from across the web. NetNut has an exceptional way of offering residential IP to companies and gets its strength by direct connectivity to ISPs from all over the world. NetNut is proud to stand among top proxy providers regarding use cases such as Web Scraping/Data Aggregation, Market Research & SEO Tracking, with outstanding success rate, IP uniqueness, scalability, and flexible pricing plans. Combine that with a powerful, yet easy to use and integrate network and you are on the right path to success.

Categories in common with DataCrops:

Data Extraction

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Apify

By Apify

4.7/5

(328)

Product Description

Categories in common with DataCrops:

By bright data

Product Description

Data Collector - Collect public web data at scale with zero infrastructure and zero code. Select through one of hundreds of pre-made data collection templates or request a custom collector to be specially made by the Bright Data development team to fit your organizational needs. Web Unlocker - No experience and no-code required. Only pay for successful requests while rotating through dozens of browser profiles automatically with the Web Unlocker. Targeting the toughest public websites at unprecedented rates by upgrading your requests to look perfect. Datasets: Bright Data Datasets capture tens of millions of data points from entire websites. Request public web data from a collection of pre-made dataset templates or let Bright Data do the work for you by providing you with a customized dataset. Bright Data Network: The world’s fastest and most reliable proxy networks. Be unstoppable with one of our four types of proxy networks - Data Center, Residential, ISP and Mobile.

Categories in common with DataCrops:

Data Extraction