ComparisonData365 AlternativeUpdated June 2026

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.

Ayrshare
TL;DR

Ayrshare

The social publishing API

Where Data365 pulls public data in, Ayrshare publishes content out on behalf of your users. One integration handles publishing across 13+ 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 API

A 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.

Feature comparison

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 · 13+ 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 isolation

Built for it

N/A · data extraction product, not a publishing layer

Platform coverage

13+ · Facebook, X, Instagram, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Telegram, Threads, Snapchat, Bluesky, GBP

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 lookups

Listen 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 languages

Hosted 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)

Category

Ayrshare

Social media publishing and management API (outbound)

Data365

Social media data extraction API (inbound, read-only)

Publish or schedule posts

Ayrshare

Yes · core capability · 13+ networks

Data365

No · read-only product with no publishing endpoints

Extract public social data at scale

Ayrshare

Not the job · History API returns past posts for connected accounts only

Data365

Yes · live-from-source data across 7 platforms at any volume

Multi-tenant architecture (post on behalf of users)

Ayrshare

Yes · built for it · per-user OAuth and profile isolation

Built for it

Data365

N/A · data extraction product, not a publishing layer

Platform coverage

Ayrshare

13+ · Facebook, X, Instagram, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Telegram, Threads, Snapchat, Bluesky, GBP

Data365

7 · Instagram, Facebook, X, TikTok, Reddit, Threads, Pinterest · YouTube on roadmap

History API (past posts)

Ayrshare

Yes · 200-500 platform-native posts per connected profile · for brand-voice and AI context

Data365

Yes · historical post collection with client-controlled frequency · for any public profile

Analytics

Ayrshare

Analytics API · raw platform-native metrics for content you manage

Data365

Engagement metrics (likes, comments, shares) extracted as raw data · no built-in reporting layer

Social listening & monitoring

Ayrshare

Yes · Listen API · real-time keyword, hashtag & mention monitoring, sentiment, and brand/competitor lookups

Listen API

Data365

Yes · large-scale public data extraction across 7 networks at any volume · for pipelines, not reply

Comments, DMs & reviews

Ayrshare

Yes · comments, DMs, review management, webhooks for connected accounts

Data365

Extracts public comments as data · no reply or engagement management

Pre-publish validation

Ayrshare

Yes · banned hashtags, duplicates, posting limits checked before sending

Data365

N/A · no publishing layer

Ad management

Ayrshare

Facebook Ads + boosted posts

Data365

No

AI & MCP integration

Ayrshare

Hosted MCP server · History API for brand-voice context · SDKs in 8 languages

Hosted MCP

Data365

Targets AI-oriented businesses for data ingestion · no MCP server · Postman workspace for testing

API rate limits

Ayrshare

Published · 300 calls / 5 min per profile, isolated per profile

Data365

Not publicly documented · volume negotiated during sales

Onboarding model

Ayrshare

Self-serve signup · 28-day free trial · unlimited team members · 24/7 engineering support on Slack

Data365

Sales-led · contact form required · 14-day free trial · high-touch human onboarding

Support & track record

Ayrshare

24/7 engineering-backed · backed by saas.group · 30M+ daily API calls

Data365

Email support · white-glove onboarding · 99.9% uptime claim · 200+ clients since 2018

Pricing model

Ayrshare

Per social profile · same price regardless of networks connected

Data365

Custom quote · scoped to data types, platforms, frequency, and volume · ~300 EUR/mo entry (verify directly)

The pricing question

Per profile vs. custom data contract

Ayrshare's pricing is profile-count-based and publicly structured: one profile connects all 13+ 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 limitations

Both free to evaluate

Premium

1 Social Profile × 13+ networks · analytics, comments, DMs

$149/mo

No comparable tier · data extraction only, not publishing

Different 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% uptime

Different billing models

Launch trial

What it covers: 28-day free trial · self-serve · no credit card

Ayrshare Free

Data365 14-day free trial · requires contact form · some limitations

Both free to evaluate

Premium

What it covers: 1 Social Profile × 13+ networks · analytics, comments, DMs

Ayrshare $149/mo

Data365 No comparable tier · data extraction only, not publishing

Different jobs

Launch

What it covers: Multi-profile publishing platform use cases

Ayrshare $299/mo

Data365 Custom quote · ~300 EUR/mo entry (verify directly)

Not directly comparable

Business / Enterprise

What it covers: Agencies and platforms · up to thousands of Social Profiles · 99.99% SLA

Ayrshare $599/mo to Custom

Data365 Larger-volume custom contract · custom endpoints · 99.9% uptime

Different 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 13+ 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.

At a glance

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 13+ 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.

What reviewers say

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.

Ayrshare

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 ·

Using both, or choosing one

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 13+ 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.

FAQ

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 13+ 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 13+ 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 13+ 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.

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.