Ayrshare vs Data365
Data365 and Ayrshare mostly point in opposite directions. Data365 is a read-only API built to pull public social data in at scale: profiles, posts, engagement. Ayrshare publishes and manages content out on behalf of your users, and also reads back in: analytics, post history, and a Listen API for real-time keyword, hashtag, and mention monitoring with sentiment. Harvesting large volumes of arbitrary public data is Data365's job; publishing, managing, and listening across the accounts you serve is Ayrshare's. Some products use both.
Updated June 2026
Ayrshare
The social publishing APIWhere Data365 pulls public data in, Ayrshare publishes content out on behalf of your users. One integration handles publishing across 14+ networks, a Listen API for keyword and mention monitoring with sentiment, analytics, comments and DM automation, pre-publish validation, and Facebook Ads, plus a History API for AI brand-voice training. Built for multi-tenant products and billed per Social Profile, proven at 30M+ daily API calls with 24/7 engineering-backed support.
Data365
Public social data extraction APIA read-only data extraction API for developers who need structured public social media data at scale. Covers Instagram, Facebook, X, TikTok, Reddit, Threads, and Pinterest. Live-from-source data model (no cached datasets), customizable by data type, frequency, and volume. No publishing or scheduling capability. Pricing requires a sales conversation; a 14-day free trial is available.
Side by side
| Capability | Ayrshare | Data365 |
|---|---|---|
| Category | Social media publishing and management API (outbound) | Social media data extraction API (inbound, read-only) |
| Publish or schedule posts | Yes · core capability · 14+ networks | No · read-only product with no publishing endpoints |
| Extract public social data at scale | Not the job · History API returns past posts for connected accounts only | Yes · live-from-source data across 7 platforms at any volume |
| Multi-tenant architecture (post on behalf of users) | Yes · built for it · per-user OAuth and profile isolationBuilt for it | N/A · data extraction product, not a publishing layer |
| Platform coverage | 14+ · Facebook, X, Instagram, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Telegram, Threads, Snapchat, Bluesky, GBP, WhatsApp | 7 · Instagram, Facebook, X, TikTok, Reddit, Threads, Pinterest · YouTube on roadmap |
| History API (past posts) | Yes · 200-500 platform-native posts per connected profile · for brand-voice and AI context | Yes · historical post collection with client-controlled frequency · for any public profile |
| Analytics | Analytics API · raw platform-native metrics for content you manage | Engagement metrics (likes, comments, shares) extracted as raw data · no built-in reporting layer |
| Social listening & monitoring | Yes · Listen API · real-time keyword, hashtag & mention monitoring, sentiment, and brand/competitor lookupsListen API | Yes · large-scale public data extraction across 7 networks at any volume · for pipelines, not reply |
| Comments, DMs & reviews | Yes · comments, DMs, review management, webhooks for connected accounts | Extracts public comments as data · no reply or engagement management |
| Pre-publish validation | Yes · banned hashtags, duplicates, posting limits checked before sending | N/A · no publishing layer |
| Ad management | Facebook Ads + boosted posts | No |
| AI & MCP integration | Hosted MCP server · History API for brand-voice context · SDKs in 8 languagesHosted MCP | Targets AI-oriented businesses for data ingestion · no MCP server · Postman workspace for testing |
| API rate limits | Published · 300 calls / 5 min per profile, isolated per profile | Not publicly documented · volume negotiated during sales |
| Onboarding model | Self-serve signup · 28-day free trial · unlimited team members · 24/7 engineering support on Slack | Sales-led · contact form required · 14-day free trial · high-touch human onboarding |
| Support & track record | 24/7 engineering-backed · backed by saas.group · 30M+ daily API calls | Email support · white-glove onboarding · 99.9% uptime claim · 200+ clients since 2018 |
| Pricing model | Per social profile · same price regardless of networks connected | Custom quote · scoped to data types, platforms, frequency, and volume · ~300 EUR/mo entry (verify directly) |
Per profile vs. custom data contract
Ayrshare's pricing is profile-count-based and publicly structured: one profile connects all 14+ networks as a single billing unit, starting at $149/mo (Premium) and scaling with your user base. Data365's pricing is scoped per sales engagement, billed monthly and driven by which platforms, data types, update frequency, and volume you need.
Because the two products bill differently for different jobs, a head-to-head price comparison is less useful than understanding what drives cost in each. Ayrshare's cost scales with the number of brands you publish for; Data365's scales with how much public data you pull and from how many networks.
| Ayrshare plan | What it covers | Ayrshare | Data365 equivalent |
|---|---|---|---|
| Launch trial | 28-day free trial · self-serve · no credit card | Free | 14-day free trial · requires contact form · some limitationsBoth free to evaluate |
| Premium | 1 Social Profile × 14+ networks · analytics, comments, DMs | $149/mo | No comparable tier · data extraction only, not publishingDifferent jobs |
| Launch | Multi-profile publishing platform use cases | $299/mo | Custom quote · ~300 EUR/mo entry (verify directly)Not directly comparable |
| Business / Enterprise | Agencies and platforms · up to thousands of Social Profiles · 99.99% SLA | $599/mo to Custom | Larger-volume custom contract · custom endpoints · 99.9% uptimeDifferent billing models |
The bottom line. If your job is publishing and managing social content on behalf of your users, Ayrshare's per-profile model is purpose-built: one profile covers all 14+ networks at a fixed cost that scales with your user base. If your job is extracting large volumes of public social data, Data365's usage-scoped contracts fit that consumption model. These aren't competing prices for the same thing. They're different prices for different jobs.
Which one is right for you?
Pick Ayrshare when
You're building a product that publishes social content on behalf of your own users: posts, schedules, replies, and ads.
You need multi-tenant architecture: your customers connect their own accounts and see your UI, not ours.
You want the full lifecycle as an API: publishing, History API, analytics, comments, DMs, reviews, Facebook Ads, and a Listen API for keyword, hashtag, and mention monitoring with sentiment.
You want social listening tied to action: monitor brand conversations and mentions, then reply, post, or report from the same API.
You're building an AI content agent that needs to post and measure across 14+ networks with a hosted MCP server.
You want per-profile billing and published rate limits (300 calls per 5 minutes per profile) you can plan against.
You need networks like Bluesky, Telegram, Snapchat, or Google Business Profile alongside the mainstream ones.
Pick Data365 when
You need to ingest public social data at scale: posts, profiles, comments, and engagement metrics across seven major networks.
You require live-from-source data with no cached lag and control over update frequency and volume.
You need large-scale public data ingestion well beyond the accounts you manage: academic research, market analysis, or training-data pipelines for AI/ML models.
You need a vendor that will adapt infrastructure to your volume, data types, and custom endpoint requirements.
You value high-touch human onboarding during integration, not self-serve signup.
Both earn strong marks, for different things
Ayrshare reviewers highlight API quality, documentation, and technical support. Data365 reviewers highlight support responsiveness, onboarding, and the value of one unified extraction API versus maintaining separate platform integrations.
5.0
“Greatest social media integration API ever. The documentation doesn't take long to understand and the API response is very fast.”
Capterra
Diaa N. · developer-rated
5.0
“Data365 is an affordable social media data provider that is very easy to integrate into your app or service.”
Capterra
Verified reviewer ·
Different directions of data flow, sometimes complementary
Most teams aren't choosing between Ayrshare and Data365. They're matching the right API to a specific job. Data365 moves data in: public posts, profiles, and engagement metrics from social platforms into your pipeline. Ayrshare moves data out, and listens around the accounts it serves: publishing, scheduling, and managing content across 14+ networks, plus a Listen API for monitoring keywords, hashtags, and mentions. Some products need both: a social analytics or influencer platform might use Data365 to ingest public data at scale and Ayrshare to publish, manage, and monitor for connected accounts. If you're embedding social posting into a product for the first time, we hand your team a reference integration and stay with you on Slack through the build. No ticket queue.
Common questions
No. Data365 is a read-only data extraction API. It retrieves public posts, profiles, comments, and engagement metrics from social platforms. It doesn't offer posting, scheduling, or publishing endpoints. If your job is publishing content on behalf of your users, Ayrshare is the relevant choice. If your job is extracting public social data at scale, Data365 is built for that.
Not at the same scale, but Ayrshare does read social data. Its History API returns up to 200 to 500 past posts per connected profile, and its Listen API monitors keywords, hashtags, and mentions in real time with sentiment and brand/competitor lookups. What Ayrshare isn't built for is harvesting arbitrary public profiles in bulk: Data365 is purpose-built for large-scale ingestion of public data across Instagram, Facebook, X, TikTok, Reddit, Threads, and Pinterest, with control over frequency and volume. If you need monitoring tied to the accounts and conversations you act on, Ayrshare covers it; if you need raw public data at high volume for research or model training, Data365 is the stronger fit.
Yes. Ayrshare's Listen API monitors social media for keywords, hashtags, and mentions in real time so you can track brand conversations, sentiment, and trends, and it includes brand and competitor lookups on the Business plan. The difference from a dedicated data provider like Data365 is intent: Ayrshare's listening is built to flow straight into action, so you can monitor a mention and then reply, post, or report through the same API, rather than exporting raw public data at scale into a separate pipeline.
It depends on the direction of data flow. Data365 explicitly serves AI-oriented businesses and supports scalable, real-time public data extraction across seven networks, making it a direct fit for data-ingestion-heavy AI use cases. Ayrshare is oriented toward outbound publishing: an AI agent can use Ayrshare to post, schedule, and measure content across 14+ networks on behalf of users, with a hosted MCP server and a History API for brand-voice context. If you need to ingest public social data to train or power a model, Data365 is the stronger fit. If you need to publish compliant content as an AI agent, Ayrshare is.
Data365 provides structured JSON data from Instagram, Facebook, X (Twitter), TikTok, Reddit, Threads, and Pinterest. YouTube is referenced as on their roadmap but not yet a fully supported extraction platform as of 2026. Ayrshare publishes to 14+ networks including several Data365 doesn't extract.
Not in full. Data365 routes prospects through a contact form; the sales team then scopes a plan based on data types, platforms, update frequency, and volume, with monthly billing. Capterra lists a starting price of around 300 euros per month, but verify directly with Data365. All users get a free 14-day trial with some limitations.
The ability to publish, schedule, and manage social content as an API. Ayrshare covers the full outbound lifecycle: multi-tenant publishing across 14+ networks, a History API for connected accounts, an Analytics API, pre-publish validation, comments and DM automation, review management, Facebook Ads, and per-profile billing. Data365 has no publishing capability. The two products solve adjacent but non-overlapping jobs: outbound content management versus inbound data extraction.
Yes, and for some products that combination makes sense. A social media analytics or influencer marketing platform might use Data365 to ingest public profile and post data, and Ayrshare to publish and manage content on behalf of connected user accounts. Because the two serve opposite data-flow directions, they complement rather than duplicate each other.
More comparisons you're weighing
Building social into your product?
Ayrshare is the social media API where the architecture, rate limits, and compliance posture are documented in public. Start with the docs, or talk to engineering directly.