{ "openapi": "3.0.1", "info": { "title": "Instagram Mentions Scraper — Tagged Posts, New Tags Only", "description": "Instagram mentions scraper for the posts that tag an account: every post on its Tagged tab with link, caption, date, counts and the author. Schedule it and only the posts that newly tag you come back — posts you already have are never charged twice. From $1.20 per 1,000 posts.", "version": "1.0", "x-build-id": "VRKuDhk0HWPae0mAK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/steadyfetch~instagram-mentions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-steadyfetch-instagram-mentions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/steadyfetch~instagram-mentions-scraper/runs": { "post": { "operationId": "runs-sync-steadyfetch-instagram-mentions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/steadyfetch~instagram-mentions-scraper/run-sync": { "post": { "operationId": "run-sync-steadyfetch-instagram-mentions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "usernames": { "title": "Instagram accounts", "type": "array", "description": "Instagram handles or profile links, one per line — \"nike\", \"@nike\" or https://www.instagram.com/nike/. Each returns the posts other accounts published that tag it (its Tagged tab), newest first. A handle that names no account, and a read that did not go through, come back as labelled rows and are never charged. A hashtag or a post link is refused with a row pointing to the actor that reads it. Big brands often curate their Tagged tab, so it can show years-old posts: every row carries the date of the account's newest tagged post, and the run page names an account whose tab is not live. Leave empty and the run returns built-in sample rows instead, so you can see the output shape at no result fee.", "items": { "type": "string" } }, "maxPostsPerAccount": { "title": "Max posts per account", "minimum": 1, "type": "integer", "description": "Hard cap on the tagged posts delivered for EACH account — 50 across 3 accounts delivers up to 150. The Tagged tab is read 21 posts a page, newest first. An account that runs short leaves an uncharged row saying so. At most 500 per account: ask for more and the run continues at 500, with one uncharged row saying so, rather than being refused.", "default": 50 }, "postedAfter": { "title": "Posted after", "type": "string", "description": "Only posts published on or after this date: a date (\"2026-10-01\"), a date and time (\"2026-10-01T08:30:00Z\") or a rolling window counted back from the run's start (\"7 days\", \"2 weeks\", \"24 hours\"). The tab is read newest first, so the run stops reading once it reaches older posts. A value this actor cannot read is refused on an uncharged row, never ignored. Leave empty for no date limit." }, "newPostsOnly": { "title": "New tags only", "type": "boolean", "description": "ON (default): a post already delivered to you for the same account is skipped — no row, no charge — so a scheduled run returns only the posts that newly tag the account. When a repeat read finds nothing new at all, that account is charged one check ($0.005) for the read, once, and its row says so; a first read, an empty tab and a read this run's own limit cut short are never charged a check. OFF: posts you already have are handed back again, marked repeat: true, with no result fee, and no check is charged. Posts older than 90 days in your memory count as new again.", "default": true }, "maxRunSeconds": { "title": "Max run seconds", "type": "integer", "description": "The run stops cleanly before this many seconds and reports what is left, instead of being killed by a timeout. A time limit ends the collecting, never the delivering: posts already in hand are always written out, and posts the clock does not reach are not charged. Between 30 seconds and 1 hour: set it outside that and the run continues at the nearest one, with one uncharged row saying so.", "default": 1800 }, "resumeFromDatasetId": { "title": "Skip posts in this dataset", "type": "string", "description": "The dataset ID of a previous run of this actor. Posts already in it are treated as posts you already have and are skipped, so a follow-up run delivers only new ones, even from a different Apify account. Selecting it here is what grants this run permission to read it." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }