Data365 review

Data365 is a hosted social media search API, not a library, CLI or self-hosted server. An application sends HTTP requests to Data365; the service collects publicly available social content and returns structured JSON. It sits between your data collection jobs and downstream systems such as analytics, monitoring or research pipelines.

The vendor lists TikTok, Instagram, Facebook, Twitter, Reddit, Threads and Pinterest. Its homepage says data is gathered live from the source when requested, and describes collecting posts, comments, profiles and other public information. A documented TikTok profile example uses POST to initiate collection, GET to check its status, then GET to retrieve the result. This means your integration needs to handle asynchronous collection and status checks rather than assume every request returns completed data immediately. The vendor also says it can adjust capacity and create custom endpoints for particular use cases. Treat platform coverage and available fields as subject to confirmation: the homepage says social platform rules change and advises contacting Data365 about available data.

The homepage shows an HTTP API with endpoints organized by network and resource. Its TikTok example sends a POST request to start collection, polls with GET, and makes another GET request to retrieve the structured result. The example passes an access token as an access_token query parameter and returns JSON, including a data object, error and status fields.

That is enough to understand the basic integration shape, but the homepage does not name SDKs, programming languages, a CLI, webhooks or plugins. Confirm SDK support, authentication guidance, error handling, pagination and retry behavior in Data365’s developer documentation before selecting a client library or designing a worker. The sample illustrates a profile lookup; it does not establish that every endpoint or network follows the same schema. The vendor says custom endpoints can be adapted to client needs, so clarify whether a required data type needs custom work, and whether that affects capacity or price.

The pricing page lists Basic at €300 per month for one social network and 500,000 credits per month. Standard costs €850 per month for up to three networks and 1,000,000 monthly credits. Custom pricing covers up to seven networks and up to 100,000,000 credits per month. Plans are billed monthly; annual billing is not listed. Data365 also lists a 14-day free trial, but no free plan.

The published prices do not explain how many credits an API operation consumes, whether status checks use credits, or what happens when a plan allowance is exhausted. Overages and add-ons are not listed. That makes it difficult to translate the allowance into a request budget or estimate the bill for polling, retries and multiple data types. Before production, ask for endpoint-level credit costs, overage rules, any minimum term, and whether custom endpoints change the plan price. A trial can support an initial integration check, but it is not a recurring free tier.

Data365 is sold as a hosted API. The homepage does not publish an open-source licence, source code or self-hosting option; ask the vendor directly if any of those are requirements. The service returns JSON, which gives your application a structured response to store outside Data365, but the homepage does not describe a bulk export tool or export terms.

Migration effort depends on how tightly your code relies on Data365’s endpoint paths, field names, network-specific behavior and custom endpoints. Keep a provider adapter between your application and the API, and normalize returned fields into your own schema. Store any data you are entitled to retain in your own systems, and confirm retention, permitted use and deletion terms with the vendor. The homepage’s statement that it provides public information does not by itself settle those contract or platform-policy questions.

Data365 says it has 99.9% uptime and infrastructure for projects ranging from small workloads to large-scale analytics. Those are vendor claims; the homepage does not give a measurement period, service-level agreement or service-credit terms. It also does not publish request-rate limits, concurrency limits, latency targets or per-endpoint availability. Ask for these figures and test your own workload before making the API a critical dependency.

The example uses a start-and-poll workflow, so production code should account for jobs that are still running, failed collection, retries and duplicate work. Confirm how errors and incomplete results are represented for each network. The homepage says collection is live from the source and that platform rules change often; it also recommends contacting the vendor about what data is available. Verify which fields can be collected for your use case and how service changes are communicated. Review authentication, data retention, security controls and compliance terms with Data365 before sending credentials or storing returned data.