Fast, reliable social data—built for production.

Retrieve rich, normalized public data from TikTok, Instagram, Reddit, X, and LinkedIn through a unified API—without maintaining scrapers or losing platform-specific detail.

Get free API key View the docs

request success: 99.7%request success
average response: 852msaverage response
across platforms: One APIacross platforms

Observed across production requests to social platforms over 30 days.

api.konbiniapi.comREST

GET/v1/tiktok/videos/7667244788046892319

200OKapplication/json488ms

{
  "type": "Video",
  "content": "Drop your questions below! 🚀",
  "published": "2026-07-27T16:25:49.000Z",
  "duration": 13,
  "viewCount": 861100,
  "likeCount": 73600,
  "commentCount": 8318,
  "shareCount": 1417,
  "attributedTo": {
    "preferredUsername": "nasa",
    "isVerified": true
  }
}

GET/v1/instagram/users/nasa

200OKapplication/json531ms

{
  "type": "Person",
  "preferredUsername": "nasa",
  "name": "NASA",
  "summary": "Making the seemingly impossible, possible. ✨",
  "isVerified": true,
  "followerCount": 104251771,
  "followingCount": 92,
  "attachment": [
    {
      "href": "https://www.nasa.gov"
    }
  ]
}

GET/v1/reddit/subreddits/space/posts?count=3&order=top

200OKapplication/json1407ms

{
  "type": "OrderedCollectionPage",
  "itemCount": 3,
  "nextCursor": "t3_1vd1sxs",
  "orderedItems": [
    {
      "name": "My best view of the Milky Way from ISS",
      "published": "2026-08-02T15:32:12.000Z",
      "voteCount": 27920,
      "commentCount": 242
    }
  ]
}

GET/v1/x/posts/2083296052283613303

200OKapplication/json527ms

{
  "type": "Note",
  "content": "The sky is full of excitement this month! You…",
  "published": "2026-07-31T20:57:39.000Z",
  "viewCount": 1991209,
  "likeCount": 5333,
  "repostCount": 1212,
  "replyCount": 162,
  "quoteCount": 67,
  "attributedTo": {
    "preferredUsername": "NASA",
    "followerCount": 92244633
  }
}

GET/v1/linkedin/posts/7491228345121157120

200OKapplication/json865ms

{
  "type": "Note",
  "entityId": "7491228345121157120",
  "content": "It's a great time to tune in and stream space…",
  "published": "2026-08-06T20:26:57.743Z",
  "likeCount": 87,
  "replyCount": 3,
  "attributedTo": {
    "type": "Organization",
    "preferredUsername": "nasa",
    "followerCount": 7067788
  }
}

One request. Rich, normalized data.

Call any supported platform through familiar REST endpoints. Every response follows a consistent, normalized model while preserving useful platform-specific fields—so you spend less time writing transformation and glue code.

GET/v1/tiktok/videos/{videoId}

Request

curl https://api.konbiniapi.com/v1/tiktok/videos/7667244788046892319 \
  -H "Authorization: Bearer knbn_your_api_key"

const response = await fetch(
  "https://api.konbiniapi.com/v1/tiktok/videos/7667244788046892319",
  { headers: { Authorization: "Bearer knbn_your_api_key" } }
);

const { data } = await response.json();

import requests

response = requests.get(
    "https://api.konbiniapi.com/v1/tiktok/videos/7667244788046892319",
    headers={"Authorization": "Bearer knbn_your_api_key"},
)

data = response.json()["data"]

Path parameter: videoId7667244788046892319
Authentication: AuthorizationBearer knbn_your_api_key

Recorded response200OK

{
  "@context": [
    "https://www.w3.org/ns/activitystreams#",
    "https://konbiniapi.com/ns/social#"
  ],
  "type": "Video",
  "id": "https://www.tiktok.com/@nasa/video/7667244788046892319",
  "url": "https://www.tiktok.com/@nasa/video/7667244788046892319",
  "entityId": "7667244788046892319",
  "content": "Drop your questions below! 🚀",
  "language": "en",
  "published": "2026-07-27T16:25:49.000Z",
  "duration": 13,
  "viewCount": 861100,
  "likeCount": 73600,
  "commentCount": 8318,
  "repostCount": 0,
  "shareCount": 1417,
  "saveCount": 4712,
  "attributedTo": {
    "type": "Person",
    "id": "https://www.tiktok.com/@nasa",
    "url": "https://www.tiktok.com/@nasa",
    "entityId": "MS4wLjABAAAAU9BRVzC8oCaegVnia8IbqWhPb_-dbU7s00Y3wS1_Nx8g5RUaYvyXrpejgjdxTwd6",
    "name": "NASA",
    "preferredUsername": "nasa",
    "summary": "Making the seemingly impossible, possible.✨",
    "isPrivate": false,
    "isVerified": true,
    "isLive": false,
    "hasLikes": false,
    "followerCount": 398100,
    "followingCount": 20,
    "likeCount": 1500000,
    "likedCount": 48,
    "icon": {
      "type": "Image",
      "url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:100:100.jpeg",
      "width": 100,
      "height": 100
    },
    "image": [
      {
        "type": "Image",
        "url": "https://p16-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:720:720.jpeg",
        "width": 720,
        "height": 720
      },
      {
        "type": "Image",
        "url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:1080:1080.jpeg",
        "width": 1080,
        "height": 1080
      }
    ]
  },
  "attachment": [
    {
      "type": "Video",
      "name": "play",
      "url": [
        "https://v16-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/oc3pnAmX8qLkuiE1dMifiAAA5hTSMqI8IMB1Ci/",
        "https://v19-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/oc3pnAmX8qLkuiE1dMifiAAA5hTSMqI8IMB1Ci/",
        "https://www.tiktok.com/aweme/v1/play/"
      ],
      "mediaType": "video/mp4",
      "codec": "h264",
      "width": 720,
      "height": 1280,
      "bitrate": 424037
    },
    {
      "type": "Video",
      "name": "download",
      "url": [
        "https://v16-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-pve-0068-tx2/oUAKnimiMM8pBhJEIf3A8iC1Aqixi5GE517uIq/"
      ],
      "mediaType": "video/mp4",
      "codec": "h264",
      "width": 720,
      "height": 1280,
      "bitrate": 424037
    },
    {
      "type": "Video",
      "name": "normal_720_0",
      "url": [
        "https://v16-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/oc3pnAmX8qLkuiE1dMifiAAA5hTSMqI8IMB1Ci/",
        "https://v19-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/oc3pnAmX8qLkuiE1dMifiAAA5hTSMqI8IMB1Ci/",
        "https://www.tiktok.com/aweme/v1/play/"
      ],
      "mediaType": "video/mp4",
      "codec": "h264",
      "width": 720,
      "height": 1280,
      "bitrate": 424037
    },
    {
      "type": "Video",
      "name": "adapt_lower_720_1",
      "url": [
        "https://v16-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c001-tx2/ogevEdfDVQrhRNqE5DdU7Zz4PBwA1EZ8FMTFIA/",
        "https://v19-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c001-tx2/ogevEdfDVQrhRNqE5DdU7Zz4PBwA1EZ8FMTFIA/",
        "https://www.tiktok.com/aweme/v1/play/"
      ],
      "mediaType": "video/mp4",
      "codec": "h265_hvc1",
      "width": 720,
      "height": 1280,
      "bitrate": 233197
    },
    {
      "type": "Video",
      "name": "adapt_540_1",
      "url": [
        "https://v16-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/ooT4LfzvDEBqFedEFnEh4uQ7ZBVI5UNAr5RMZA/",
        "https://v19-webapp-prime.us.tiktok.com/video/tos/useast8/tos-useast8-ve-0068c004-tx2/ooT4LfzvDEBqFedEFnEh4uQ7ZBVI5UNAr5RMZA/",
        "https://www.tiktok.com/aweme/v1/play/"
      ],
      "mediaType": "video/mp4",
      "codec": "h265_hvc1",
      "width": 576,
      "height": 1024,
      "bitrate": 214252
    }
  ],
  "image": [
    {
      "type": "Image",
      "url": "https://p16-common-sign.tiktokcdn-us.com/tos-useast8-p-0068-tx2/okD0IqQMAD8Ip5kADUwPICeQRAWefjAzPZEVKA~tplv-tiktokx-origin.image",
      "width": 720,
      "height": 1280
    }
  ],
  "preview": {
    "type": "Image",
    "url": "https://p16-common-sign.tiktokcdn-us.com/tos-useast8-p-0068-tx2/okD0IqQMAD8Ip5kADUwPICeQRAWefjAzPZEVKA~tplv-tiktokx-origin.image",
    "width": 720,
    "height": 1280
  },
  "audio": {
    "type": "Audio",
    "id": "https://www.tiktok.com/music/7667244700184922911",
    "url": "https://v16m.tiktokcdn-us.com/9d48e39f6fa9287040ceed411ad88e69/6a6fc157/video/tos/useast8/tos-useast8-v-27dcd7-tx2/oI4UtZABeF6TCBVADqzOJpAAaEEZfECDEnho6q/",
    "entityId": "7667244700184922911",
    "name": "original sound",
    "duration": 13,
    "mediaType": "audio/mpeg",
    "isOriginal": true,
    "isCopyrighted": false,
    "icon": {
      "type": "Image",
      "url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:100:100.jpeg",
      "width": 100,
      "height": 100
    },
    "image": [
      {
        "type": "Image",
        "url": "https://p16-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:720:720.jpeg",
        "width": 200,
        "height": 200
      },
      {
        "type": "Image",
        "url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/e5143212a59c09a008bf50f487d54d1f~tplv-tiktokx-cropcenter:1080:1080.jpeg",
        "width": 720,
        "height": 720
      }
    ]
  }
}

GET/v1/instagram/users/{username}

Request

curl https://api.konbiniapi.com/v1/instagram/users/nasa \
  -H "Authorization: Bearer knbn_your_api_key"

const response = await fetch(
  "https://api.konbiniapi.com/v1/instagram/users/nasa",
  { headers: { Authorization: "Bearer knbn_your_api_key" } }
);

const { data } = await response.json();

import requests

response = requests.get(
    "https://api.konbiniapi.com/v1/instagram/users/nasa",
    headers={"Authorization": "Bearer knbn_your_api_key"},
)

data = response.json()["data"]

Path parameter: usernamenasa
Authentication: AuthorizationBearer knbn_your_api_key

Recorded response200OK

{
  "@context": [
    "https://www.w3.org/ns/activitystreams#",
    "https://konbiniapi.com/ns/social#"
  ],
  "type": "Person",
  "id": "https://www.instagram.com/nasa/",
  "url": "https://www.instagram.com/nasa/",
  "entityId": "528817151",
  "name": "NASA",
  "preferredUsername": "nasa",
  "summary": "Making the seemingly impossible, possible. ✨",
  "attachment": [
    {
      "type": "Link",
      "href": "https://www.nasa.gov"
    },
    {
      "type": "Link",
      "href": "https://www.nasa.gov/news-release/nasa-sets-coverage-for-august-northern-hemisphere-total-solar-eclipse/"
    },
    {
      "type": "Link",
      "href": "https://science.nasa.gov/eclipses/"
    },
    {
      "type": "Link",
      "href": "https://science.nasa.gov/mission/roman-space-telescope/"
    },
    {
      "type": "Link",
      "href": "http://intern.nasa.gov"
    }
  ],
  "isPrivate": false,
  "isVerified": true,
  "isPaidVerified": false,
  "isBusiness": true,
  "isProfessional": true,
  "hasVideos": true,
  "hasChannel": false,
  "hasMicroblog": true,
  "followerCount": 104251771,
  "followingCount": 92,
  "mediaCount": 0,
  "videoCount": 1,
  "highlightCount": 0,
  "icon": {
    "type": "Image",
    "url": "https://scontent-iad3-1.cdninstagram.com/v/t51.2885-19/29090066_159271188110124_1152068159029641216_n.jpg"
  },
  "image": [
    {
      "type": "Image",
      "url": "https://scontent-iad3-1.cdninstagram.com/v/t51.2885-19/29090066_159271188110124_1152068159029641216_n.jpg"
    }
  ]
}

GET/v1/reddit/subreddits/{subreddit}/posts

Request

curl https://api.konbiniapi.com/v1/reddit/subreddits/space/posts?count=3&order=top \
  -H "Authorization: Bearer knbn_your_api_key"

const response = await fetch(
  "https://api.konbiniapi.com/v1/reddit/subreddits/space/posts?count=3&order=top",
  { headers: { Authorization: "Bearer knbn_your_api_key" } }
);

const { data } = await response.json();

import requests

response = requests.get(
    "https://api.konbiniapi.com/v1/reddit/subreddits/space/posts?count=3&order=top",
    headers={"Authorization": "Bearer knbn_your_api_key"},
)

data = response.json()["data"]

Path parameter: subredditspace
Query: count3
Query: ordertop
Authentication: AuthorizationBearer knbn_your_api_key

Recorded response200OK

{
  "@context": [
    "https://www.w3.org/ns/activitystreams#",
    "https://konbiniapi.com/ns/social#"
  ],
  "type": "OrderedCollectionPage",
  "partOf": "https://api.konbiniapi.com/v1/reddit/subreddits/space/posts",
  "totalItems": null,
  "cursor": null,
  "nextCursor": "t3_1vd1sxs",
  "next": "https://api.konbiniapi.com/v1/reddit/subreddits/space/posts?cursor=t3_1vd1sxs&count=3&order=top&time=week",
  "itemCount": 3,
  "orderedItems": [
    {
      "type": "Note",
      "id": "https://www.reddit.com/r/space/comments/1vdl2z5/my_best_view_of_the_milky_way_from_iss/",
      "url": "https://www.reddit.com/r/space/comments/1vdl2z5/my_best_view_of_the_milky_way_from_iss/",
      "entityId": "1vdl2z5",
      "name": "My best view of the Milky Way from ISS",
      "content": null,
      "published": "2026-08-02T15:32:12.000Z",
      "isEdited": false,
      "isLocked": false,
      "isOriginal": false,
      "isPinned": false,
      "isAdult": false,
      "isSpoiler": false,
      "isSearchable": true,
      "likeCount": 27920,
      "voteCount": 27920,
      "commentCount": 242,
      "shareCount": 6,
      "attributedTo": {
        "type": "Person",
        "id": "https://www.reddit.com/user/astro_pettit/",
        "url": "https://www.reddit.com/user/astro_pettit/",
        "preferredUsername": "astro_pettit",
        "name": "astro_pettit",
        "isPremium": false
      },
      "icon": {
        "type": "Image",
        "url": "https://preview.redd.it/y5n61czedzgh1.jpeg",
        "width": 140,
        "height": 77
      },
      "image": [
        {
          "type": "Image",
          "url": "https://preview.redd.it/y5n61czedzgh1.jpeg",
          "width": 7491,
          "height": 4169,
          "entityId": "y5n61czedzgh1"
        }
      ],
      "attachment": [
        {
          "type": "Link",
          "href": "https://i.redd.it/y5n61czedzgh1.jpeg",
          "name": "My best view of the Milky Way from ISS"
        }
      ],
      "tag": [
        {
          "type": "Tag",
          "name": "space",
          "href": "https://www.reddit.com/r/space/"
        },
        {
          "type": "Tag",
          "name": "image/gif"
        }
      ]
    },
    {
      "type": "Note",
      "id": "https://www.reddit.com/r/space/comments/1vdxylt/the_apparent_relatedness_of_things_at_drastically/",
      "url": "https://www.reddit.com/r/space/comments/1vdxylt/the_apparent_relatedness_of_things_at_drastically/",
      "entityId": "1vdxylt",
      "name": "The apparent related-ness of things at drastically different scales in the universe fascinates me",
      "content": "Hurricane Dorian vs the Whirlpool Galaxy",
      "published": "2026-08-03T00:13:05.000Z",
      "isEdited": false,
      "isLocked": false,
      "isOriginal": false,
      "isPinned": false,
      "isAdult": false,
      "isSpoiler": false,
      "isSearchable": true,
      "likeCount": 11358,
      "voteCount": 11358,
      "commentCount": 520,
      "shareCount": 1,
      "attributedTo": {
        "type": "Person",
        "id": "https://www.reddit.com/user/BradMcGash/",
        "url": "https://www.reddit.com/user/BradMcGash/",
        "preferredUsername": "BradMcGash",
        "name": "BradMcGash",
        "isPremium": false
      },
      "icon": {
        "type": "Image",
        "url": "https://preview.redd.it/9daqyviey1hh1.png",
        "width": 140,
        "height": 140
      },
      "image": [
        {
          "type": "Image",
          "url": "https://preview.redd.it/9daqyviey1hh1.png",
          "width": 3240,
          "height": 4500,
          "entityId": "9daqyviey1hh1"
        }
      ],
      "attachment": [
        {
          "type": "Link",
          "href": "https://i.redd.it/9daqyviey1hh1.png",
          "name": "The apparent related-ness of things at drastically different scales in the universe fascinates me"
        }
      ],
      "tag": [
        {
          "type": "Tag",
          "name": "space",
          "href": "https://www.reddit.com/r/space/"
        },
        {
          "type": "Tag",
          "name": "image/gif"
        }
      ]
    },
    {
      "type": "Note",
      "id": "https://www.reddit.com/r/space/comments/1vd1sxs/gum_nebula_in_tuscany/",
      "url": "https://www.reddit.com/r/space/comments/1vd1sxs/gum_nebula_in_tuscany/",
      "entityId": "1vd1sxs",
      "name": "Gum nebula in Tuscany",
      "content": "Stacked/Tracked/Blended\n\nThe Edge\n\nThis was my winter goal: to capture the Gum nebula over the Tuscan coast.\n\nFor months the weather refused to cooperate. …",
      "published": "2026-08-01T23:16:42.000Z",
      "isEdited": false,
      "isLocked": false,
      "isOriginal": false,
      "isPinned": false,
      "isAdult": false,
      "isSpoiler": false,
      "isSearchable": true,
      "likeCount": 4784,
      "voteCount": 4784,
      "commentCount": 45,
      "shareCount": 3,
      "attributedTo": {
        "type": "Person",
        "id": "https://www.reddit.com/user/flory_ro/",
        "url": "https://www.reddit.com/user/flory_ro/",
        "preferredUsername": "flory_ro",
        "name": "flory_ro",
        "isPremium": false
      },
      "icon": {
        "type": "Image",
        "url": "https://preview.redd.it/1c7e0qngjugh1.jpeg",
        "width": 140,
        "height": 140
      },
      "image": [
        {
          "type": "Image",
          "url": "https://preview.redd.it/1c7e0qngjugh1.jpeg",
          "width": 3728,
          "height": 4970,
          "entityId": "1c7e0qngjugh1"
        }
      ],
      "attachment": [
        {
          "type": "Link",
          "href": "https://i.redd.it/1c7e0qngjugh1.jpeg",
          "name": "Gum nebula in Tuscany"
        }
      ],
      "tag": [
        {
          "type": "Tag",
          "name": "space",
          "href": "https://www.reddit.com/r/space/"
        },
        {
          "type": "Tag",
          "name": "image/gif"
        }
      ]
    }
  ]
}

The same request shape works across every supported platform.

Try with your own data

Read the API reference

One API across every platform you need.

Access public profiles, posts, comments, search results, media, transcripts, and platform-specific data across TikTok, Instagram, Reddit, X, and LinkedIn. Use the same authentication, response conventions, and developer workflow across every platform.

Endpoints by platformREST

Users

Posts

Search

Users

Posts

Get post

Communities

Users

Companies

Posts

Explore all APIs Browse the endpoint reference

Performance you can build on.

When social data sits inside your product or pipeline, provider latency and failures become your latency and failures. So we publish the method, not just the number.

Observed performance30-day window

Request success rate: 99.7%
Median response time (p50): 554ms
Average response time (mean): 852ms

Measurement methodology

Observed across production requests to social platforms over 30 days.

An eligible request is one that returned a billable response or a server error. Billable responses are HTTP 2xx, 3xx, and 404. HTTP 5xx responses count as failures. Other 4xx responses are excluded as client errors.

Success rate is calculated as billable responses divided by billable responses plus failed responses. A successful response may return requested data or correctly report that a resource does not exist. Request success is not a data-return rate, uptime figure, service-level agreement, or guarantee.

Median and average response times are calculated from billable responses only. The median is the 50th percentile; the average is the arithmetic mean. Failed and non-billable responses are excluded from latency measurements. These figures are observed values, not guaranteed maximums or service-level commitments.

One normalized API. Nothing lost in translation.

Responses use ActivityStreams—an open standard for representing social content and activity—as a consistent model across platforms. Both shared and platform-specific fields are preserved. The platform's internal noise is not.

One response modelActivityStreams

preferredUsername: TikTok: author.uniqueId; Instagram: owner.username; Reddit: author
content: TikTok: desc; Instagram: caption.text; Reddit: selftext
published: TikTok: createTime; Instagram: taken_at; Reddit: created_utc
likeCount: TikTok: stats.diggCount; Instagram: like_count; Reddit: ups
viewCount: TikTok: stats.playCount; Instagram: view_count; Reddit: not returned
voteCount: TikTok: not returned; Instagram: not returned; Reddit: score
items: TikTok: not returned; Instagram: carousel_media; Reddit: not returned

Explore the response model

Operated end to end. Optimized at every layer.

We build, operate, monitor, and optimize every layer of the data-collection and normalization infrastructure—we don't aggregate or resell third-party scraper APIs. When a platform changes, our engineers can diagnose and fix the problem directly without waiting for an external data provider. That control also lets us continuously improve reliability and response times.

Operating model

Social platforms

TikTok
Instagram
Reddit
X
LinkedIn

Built and operated directly

Collection
Normalization
API surface

Monitor
Investigate
Fix
Optimize

Your product

App or pipeline

Built for products and pipelines that depend on social data.

Turn difficult-to-access social data into a dependable building block for recurring production workloads. Start with one integration, then expand across platforms and use cases without rebuilding your data layer.

Creator and social analytics products

Creator vetting, dashboards, engagement analysis, social apps.

Social listening and competitive monitoring

Brand mentions, competitor activity, posting patterns, audience response.

AI agents and content intelligence

Current social context, content research, transcripts, comments, trend analysis.

Market intelligence and data pipelines

Company signals, alternative data, enrichment, recurring datasets, quantitative and academic research.

Explore use cases

Bring live social data to AI-native workflows with MCP.

Connect agents and automation tools to the same production infrastructure and rich, normalized data available through the REST API. Give AI workflows current social context across platforms without building and maintaining custom integrations.

mcp.konbiniapi.com

Is @zachking on Instagram worth briefing for the next campaign? Show me how recent posts actually perform

I’ll pull @zachking’s profile and recent posts through KonbiniAPI, then work out how a typical post performs rather than going on the follower count.

Instagram get user

Instagram get user posts

Recent-post benchmark	Result
Median views	6.5M
Median likes	350K
Median comments	1.9K
Engagement by followers	1.12%
Views, weakest to strongest post	2.6M – 60.9M

Medians across the 11 posts published Jun 16 – Jul 30, 2026 · the 12th the call returned is pinned from April, outside the window

The account has 31.4M followers, but the number to brief against is 6.5M — what a typical post over those six weeks actually drew, at 1.12% engagement against the follower count. Then read the floor rather than the ceiling: the 11 posts run 2.6M to 60.9M views, so the weakest of them still cleared 2.6M. A media kit quotes the 60.9M; a campaign is priced against the 2.6M.

Pull @duolingo’s recent posts on X and tell me what is actually landing

I’ll pull @duolingo’s recent posts through KonbiniAPI and look at how reach and engagement spread across them, not just at the like counts.

X get user posts

Across 20 recent posts	Result
Median views	41.9K
Median likes	347
Median reposts	21
Top 3 posts’ share of reposts	91%
Top 3 posts’ share of replies	54%

Across 20 posts from Jul 6 – Aug 3, 2026 · “top 3” is the three most-viewed

Three posts carry the page — “como está o @ishowspeedsui?”, “stop asking me to bring your streak back” and “pessi no more” — and together they take 66% of the reach. What they do not take is the conversation: 91% of the reposts against 54% of the replies, so the breakouts get forwarded while the ordinary posts are where people answer back. The one straight announcement in the set, a World Cup stat about Norwegian learners, drew 51.3K views against those three at 300K and up.

What feature is @mkbhd’s S26 Ultra clip showing, and what does it claim? tiktok.com/@mkbhd/video/7610919657205255437

I’ll pull the clip’s transcript through KonbiniAPI and lift what it claims, with where each line lands.

TikTok get video transcript

What the clip says	At
it turns off individual pixels to achieve the exact same effect	0:12
you can have it turn on only when opening certain apps	0:23
or just the password field when entering a password	0:35
unreal levels of display innovation	0:38

15 cues · text/vtt · en-US, auto-generated · each time is where its quote starts

A privacy screen done in software. The clip says the S26 Ultra turns off individual pixels to reproduce what a stick-on privacy protector does, and that because the effect lives in the display it can be scoped — on for chosen apps, or only for notifications as they arrive, or only for a password field. The verdict is “unreal levels of display innovation”, and the comparison drawn is against an accessory rather than against a rival phone.

Enrich this account for the CRM: linkedin.com/company/stripe

I’ll look up the company page through KonbiniAPI and pull the fields the CRM record needs.

LinkedIn get company

Field	Value
Company	Stripe
Employees on LinkedIn	17,036
Headquarters	South San Francisco, California, US
Website	stripe.com

Showing 4 of 12 fields

Stripe lists 17,036 employees on LinkedIn, is headquartered in South San Francisco and links out to stripe.com. That is an account record filled from a pasted URL in one call, and the same call enriches the rest of the list the same way.

Explore MCP

Public social data, responsibly accessed.

KonbiniAPI is built around public data and account-free collection. Clear access boundaries, predictable billing, and accessible legal documentation help product, engineering, security, and legal teams understand the service and build on it with confidence.

Public data only: No private, authenticated-only, or account-restricted social data. Supported endpoints return what the platform serves publicly, and reaching it never depends on a connected account.
Never returned
Private data
Authenticated-only data
Account-restricted data
No customer or fake social accounts: Customers never provide platform usernames, passwords, or session cookies. We do not create or operate fake accounts to collect data.
Never used
Your credentials
Session cookies
Fake accounts
Platform data is never stored: Data is fetched from the platform in real time and returned in the API response. We do not store or cache it, and no copy is kept once the response is delivered. Request metadata is logged separately for 90 days.
Never stored
Profiles
Posts
Comments
Media
Clear legal documentation: Accessible company information, terms, privacy policy, and DPA describe how the service operates and handles data. The DPA covers GDPR, UK, and CCPA obligations.
Published
Terms
Privacy Policy
DPA

Direct engineering support from the experts.

Get technical help from people who understand and operate the infrastructure.

Fields you need
Platforms in scope
Request volume
Validate feasibility
Whether what you want to build is possible with the fields available, and what request volume it takes.
/v1/tiktok/users/{username}
/v1/tiktok/users/{username}/videos
/v1/tiktok/videos/{videoId}
Choose the right endpoints
Which calls to chain: ids from one, details for each from the next.
InterfaceRESTMCP
Batchingn ids per call
Concurrencyk in flight
Shape your integration approach
Whether to call the REST API or MCP, and how much to batch and run at once.
videos/{videoId}200
users/{username}404
videos/{videoId}200
Inspect specific requests
What a specific request actually returned, when the result is not what you expected.
Diagnose unexpected platform behavior
Whether an odd-looking result is the platform’s own behavior or something else.

Talk to an engineerhello@konbiniapi.com

Predictable capacity for production workloads.

Choose a monthly plan that matches your product or pipeline’s expected request volume.

Monthly capacityStandard: 1 credit · Batch: 1 per ID

Plan	Credits	Price
Free	100	Free
Plus	25,000	$49/mo
ProPopular	55,000	$99/mo
Max	160,000	$199/mo
Ultra	450,000	$499/mo

Every plan includes all platforms, REST, and MCP — including Free.

View pricing

Usage you can see
Track usage and individual requests from the dashboard as your workload grows.
Hard caps by default
Spending stops at your plan by default, or enable extra usage with a limit you control.
Automatic refunds
Failed and timed-out requests are automatically refunded.

Common questions

Billing and plan questions are answered on the pricing page.

Something not covered here?

Ask our team Read the documentation

What data can I access?

Profiles, posts, reels, comments, highlights, locations, stories, collections, audios, transcripts, followers, subreddits, feeds, articles, and more across TikTok, Instagram, Reddit, X, and LinkedIn. All publicly available data. See the full list in our docs.

Is this reliable enough for production?

KonbiniAPI delivers a 99.7% request success rate and ~800ms average response time, observed across production requests to social platforms over 30 days. We build and operate the collection and normalization path ourselves, so when a platform changes, our engineers can diagnose and fix the problem directly instead of waiting on another data provider.

How is the response data structured?

Supported responses use a consistent ActivityStreams 2.0-based model across platforms. Shared concepts such as content, published, and attributedTo mean the same thing everywhere, while capabilities specific to one platform remain first-class, documented fields rather than raw extras. Each endpoint reference lists exactly what it returns in the docs.

How is the data collected?

From publicly available sources only: no private, authenticated-only, or account-restricted content. Customers never provide platform usernames, passwords, or session cookies, and we do not create or operate fake accounts to collect data. Platform data is fetched in real time and returned in the response — we do not store or cache it. Our Terms, Privacy Policy, and DPA describe how the service operates and handles data. They don't replace your own assessment of your specific use case.

Can I use KonbiniAPI from an AI agent?

Yes. The same product is available through a hosted MCP server, using the same credits as the REST API. REST is the primary interface for products and pipelines; MCP suits agents and automation workflows. Setup steps for the MCP clients we currently support are in the MCP reference.

Start building with live social data.

Get your free API key and make your first request in minutes. No credit card required.

Get free API key View the docs

Fast, reliable social data—built for production.

One request. Rich, normalized data.

One API across every platform you need.

Users

Social graph

Videos

Tags

Collections

Audios

Search

Trending

Users

Posts

Search

Locations

Highlights

Audios

Trending

Users

Subreddits

Posts

Comments

Batch

Discovery

Users

Posts

Communities

Users

Companies

Posts

Performance you can build on.

One normalized API. Nothing lost in translation.

Operated end to end. Optimized at every layer.

Built for products and pipelines that depend on social data.

Creator and social analytics products

Social listening and competitive monitoring

AI agents and content intelligence

Market intelligence and data pipelines

Bring live social data to AI-native workflows with MCP.

Public social data, responsibly accessed.

Direct engineering support from the experts.

Predictable capacity for production workloads.

Common questions

Start building with live social data.