diff --git a/surfsense_backend/app/proprietary/platforms/instagram/schemas.py b/surfsense_backend/app/proprietary/platforms/instagram/schemas.py
new file mode 100644
index 000000000..2175744a2
--- /dev/null
+++ b/surfsense_backend/app/proprietary/platforms/instagram/schemas.py
@@ -0,0 +1,187 @@
+# ruff: noqa: N815
+"""Input/output models for the Instagram scraper.
+
+The models mirror the public Instagram scraper actor spec so the endpoint can be
+a drop-in: the input accepts the full documented surface, and every output field
+is emitted (``None``/``[]`` when the anonymous web endpoints cannot source it
+yet) so the contract expands additively — the same rule the Google Search and
+YouTube models follow.
+
+**Anonymous only.** There is deliberately **no** authentication field on the
+input (no username/password/token/cookie/``login*``) — the scraper holds only
+Instagram's anonymous web-session cookies (``csrftoken``/``mid``) and can never
+log in. Anything auth-shaped a caller sends lands in ``extra`` and is ignored.
+"""
+
+from __future__ import annotations
+
+from typing import Any, Literal
+
+from pydantic import BaseModel, ConfigDict, Field
+
+InstagramResultsType = Literal[
+    "posts", "details", "comments", "reels", "mentions", "stories"
+]
+InstagramSearchType = Literal["hashtag", "profile", "place", "user"]
+InstagramDetailKind = Literal["profile", "hashtag", "place"]
+
+
+class InstagramScrapeInput(BaseModel):
+    """Instagram scraper input surface (anonymous, no auth fields).
+
+    Field names mirror the public actor spec verbatim. ``resultsLimit`` /
+    ``searchLimit`` are collector policy applied by :func:`scrape_instagram`,
+    NOT ceilings baked into the streaming flows. Fields the acquisition layer
+    doesn't source yet are still accepted via ``extra="allow"`` for parity.
+    """
+
+    model_config = ConfigDict(extra="allow")
+    resultsType: InstagramResultsType = "posts"
+    directUrls: list[str] = Field(default_factory=list)
+    resultsLimit: int | None = Field(default=None, ge=1)
+    onlyPostsNewerThan: str | None = None
+    search: str | None = None
+    searchType: InstagramSearchType = "hashtag"
+    searchLimit: int | None = Field(default=None, ge=1, le=250)
+    addParentData: bool = False
+    skipPinnedPosts: bool = False
+    isNewestComments: bool = False
+    includeNestedComments: bool = False
+    addProfileStatistics: bool = False
+
+
+class _ItemBase(BaseModel):
+    """Common error / provenance fields carried on every output item.
+
+    Errors surface as item-level fields (never exceptions) so a partial run
+    still returns the items it could source, mirroring the actor's shape.
+    """
+
+    model_config = ConfigDict(extra="allow")
+    inputUrl: str | None = None
+    error: str | None = None
+    errorDescription: str | None = None
+    requestErrorMessages: list[str] = Field(default_factory=list)
+
+    def to_output(self) -> dict[str, Any]:
+        """Serialize to the flat output dict shape (keeps extras)."""
+        return self.model_dump(exclude_none=False)
+
+
+class InstagramMediaItem(_ItemBase):
+    """A post / reel / mention. One flat schema per the actor FAQ."""
+
+    id: str | None = None
+    type: Literal["Image", "Video", "Sidecar"] | None = None
+    shortCode: str | None = None
+    caption: str | None = None
+    hashtags: list[str] = Field(default_factory=list)
+    mentions: list[str] = Field(default_factory=list)
+    url: str | None = None
+    commentsCount: int | None = None
+    firstComment: str | None = None
+    latestComments: list[dict[str, Any]] = Field(default_factory=list)
+    dimensionsHeight: int | None = None
+    dimensionsWidth: int | None = None
+    displayUrl: str | None = None
+    images: list[str] = Field(default_factory=list)
+    videoUrl: str | None = None
+    alt: str | None = None
+    likesCount: int | None = None
+    videoViewCount: int | None = None
+    videoPlayCount: int | None = None
+    reshareCount: int | None = None
+    timestamp: str | None = None
+    childPosts: list[dict[str, Any]] = Field(default_factory=list)
+    ownerUsername: str | None = None
+    ownerId: str | None = None
+    ownerFullName: str | None = None
+    isPinned: bool | None = None
+    productType: str | None = None
+    videoDuration: float | None = None
+    paidPartnership: bool | None = None
+    taggedUsers: list[dict[str, Any]] = Field(default_factory=list)
+    musicInfo: dict[str, Any] | None = None
+    coauthorProducers: list[dict[str, Any]] = Field(default_factory=list)
+    locationName: str | None = None
+    locationId: str | None = None
+    isCommentsDisabled: bool | None = None
+    dataSource: dict[str, Any] | None = None
+
+
+class InstagramComment(_ItemBase):
+    """A comment on a post / reel."""
+
+    id: str | None = None
+    postUrl: str | None = None
+    commentUrl: str | None = None
+    text: str | None = None
+    ownerUsername: str | None = None
+    ownerProfilePicUrl: str | None = None
+    timestamp: str | None = None
+    repliesCount: int | None = None
+    replies: list[dict[str, Any]] = Field(default_factory=list)
+    likesCount: int | None = None
+    owner: dict[str, Any] | None = None
+
+
+class InstagramProfile(_ItemBase):
+    """A profile detail item (``detailKind = "profile"``)."""
+
+    detailKind: Literal["profile"] = "profile"
+    id: str | None = None
+    username: str | None = None
+    url: str | None = None
+    fullName: str | None = None
+    biography: str | None = None
+    externalUrl: str | None = None
+    followersCount: int | None = None
+    followsCount: int | None = None
+    postsCount: int | None = None
+    highlightReelCount: int | None = None
+    igtvVideoCount: int | None = None
+    isBusinessAccount: bool | None = None
+    businessCategoryName: str | None = None
+    private: bool | None = None
+    verified: bool | None = None
+    profilePicUrl: str | None = None
+    profilePicUrlHD: str | None = None
+    relatedProfiles: list[dict[str, Any]] = Field(default_factory=list)
+    latestPosts: list[dict[str, Any]] = Field(default_factory=list)
+    statistics: dict[str, Any] | None = None
+
+
+class InstagramHashtag(_ItemBase):
+    """A hashtag detail item (``detailKind = "hashtag"``)."""
+
+    detailKind: Literal["hashtag"] = "hashtag"
+    id: str | None = None
+    name: str | None = None
+    url: str | None = None
+    postsCount: int | None = None
+    topPosts: list[dict[str, Any]] = Field(default_factory=list)
+    posts: list[dict[str, Any]] = Field(default_factory=list)
+    related: list[dict[str, Any]] = Field(default_factory=list)
+    searchTerm: str | None = None
+    searchSource: str | None = None
+
+
+class InstagramPlace(_ItemBase):
+    """A place detail item (``detailKind = "place"``)."""
+
+    detailKind: Literal["place"] = "place"
+    name: str | None = None
+    location_id: str | None = None
+    slug: str | None = None
+    lat: float | None = None
+    lng: float | None = None
+    location_address: str | None = None
+    location_city: str | None = None
+    location_zip: str | None = None
+    phone: str | None = None
+    website: str | None = None
+    category: str | None = None
+    media_count: int | None = None
+    posts: list[dict[str, Any]] = Field(default_factory=list)
+    searchTerm: str | None = None
+    searchSource: str | None = None