# Instagram Hashtag Scraper (`goat255/instagram-hashtag-scraper`) Actor Scrape top or recent Instagram posts for any hashtag without a login. Give a list of tag names and get back each post with its permalink, owner (username, name, verified), media type, like, comment and view counts, caption, and post date. Pagination is walked up to your chosen limit per hashtag. - **URL**: https://apify.com/goat255/instagram-hashtag-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Social media, Marketing, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 post scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Instagram Hashtag Scraper Pull top or recent Instagram posts for any hashtag, without a login. Hand the actor a list of tag names and get back a clean, structured row for every post: its permalink, the owner (username, full name, verified badge), media type, like, comment and view counts, caption, and post date. Pagination is walked automatically up to the limit you set per hashtag. ### What it does - **Top or recent** posts per hashtag. Top surfaces the highest-engagement content; recent gives you the freshest posts in reverse-chronological order. - **One clean row per post**, with the owner, engagement metrics, caption and post date already parsed into fields, so you can sort and filter instead of scraping HTML. - **Media type on every row** (photo, video, carousel), plus a video/reel view count where the post is a video. - **Deep pagination**: ask for hundreds or thousands of posts per tag and the actor walks page after page until it reaches your cap or the tag runs out. - **Several hashtags at once**, processed in parallel. Common uses: trend and content research, finding creators in a niche, tracking a campaign or branded hashtag, building a content dataset, and monitoring how a topic moves over time. ### Input | Field | Type | Description | |---|---|---| | `hashtags` | array | Tag names without the `#`. A full tag link works too. | | `resultType` | string | `top` (highest engagement) or `recent` (freshest first). Default `top`. | | `maxPostsPerHashtag` | integer | Cap per hashtag. Default 100. | | `concurrency` | integer | How many hashtags to process in parallel. Default 5. | #### Example input ```json { "hashtags": ["travel", "foodphotography"], "resultType": "top", "maxPostsPerHashtag": 500 } ```` ### Output Each item is one post. ```json { "type": "post", "hashtag": "travel", "shortcode": "DbBElQUopEy", "url": "https://www.instagram.com/p/DbBElQUopEy/", "ownerUsername": "example_user", "ownerFullName": "Jane Doe", "ownerId": "100000001", "ownerIsVerified": false, "mediaType": "video", "isVideo": true, "likeCount": 735, "commentCount": 196, "viewCount": 72961, "caption": "Sunset over the old town #travel", "takenAt": "2026-01-18T14:32:00.000Z", "displayUrl": "https://example.com/media.jpg", "scrapedAt": "2026-01-20T09:00:00.000Z" } ``` ### Notes - **`resultType` changes the ordering, not the fields.** Top is engagement-ranked; recent is newest first. - **A hashtag stops when it runs out.** Ask for 500 on a small tag and you get however many exist, not 500 padded rows. The run log states the count per tag. - `viewCount` is present for videos and reels and is `null` for photos and carousels, which do not have a play count. - `mediaType` is one of `photo`, `video`, or `carousel`. `isVideo` is a convenience boolean for the video case. - `takenAt` and `scrapedAt` are ISO 8601 UTC timestamps. - A post whose owner has since gone private or been removed will drop out of the grid; the actor returns what the tag currently exposes. **Found this useful?** [Leave a quick review](https://apify.com/goat255/instagram-hashtag-scraper/reviews). It takes a few seconds and it genuinely helps other people find the actor. # Actor input Schema ## `hashtags` (type: `array`): Hashtags to scrape, without the # prefix. A full tag link works too. Examples: travel, foodphotography, https://www.instagram.com/explore/tags/travel/. ## `resultType` (type: `string`): Top posts (highest engagement for the hashtag) or Recent posts (freshest, in reverse-chronological order). ## `maxPostsPerHashtag` (type: `integer`): Cap on posts returned per hashtag. Pagination is walked across multiple pages until this is reached or the hashtag is exhausted. ## `concurrency` (type: `integer`): How many hashtags to process in parallel. ## Actor input object example ```json { "hashtags": [ "travel" ], "resultType": "top", "maxPostsPerHashtag": 100, "concurrency": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "hashtags": [ "travel" ] }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/instagram-hashtag-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "hashtags": ["travel"] } # Run the Actor and wait for it to finish run = client.actor("goat255/instagram-hashtag-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "hashtags": [ "travel" ] }' | apify call goat255/instagram-hashtag-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/instagram-hashtag-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Hashtag Scraper", "description": "Scrape top or recent Instagram posts for any hashtag without a login. Give a list of tag names and get back each post with its permalink, owner (username, name, verified), media type, like, comment and view counts, caption, and post date. Pagination is walked up to your chosen limit per hashtag.", "version": "0.1", "x-build-id": "8aEgQRlccVzRwhsi5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~instagram-hashtag-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-instagram-hashtag-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~instagram-hashtag-scraper/runs": { "post": { "operationId": "runs-sync-goat255-instagram-hashtag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~instagram-hashtag-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-instagram-hashtag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "hashtags" ], "properties": { "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape, without the # prefix. A full tag link works too. Examples: travel, foodphotography, https://www.instagram.com/explore/tags/travel/.", "default": [ "travel" ], "items": { "type": "string" } }, "resultType": { "title": "Result type", "enum": [ "top", "recent" ], "type": "string", "description": "Top posts (highest engagement for the hashtag) or Recent posts (freshest, in reverse-chronological order).", "default": "top" }, "maxPostsPerHashtag": { "title": "Max posts per hashtag", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on posts returned per hashtag. Pagination is walked across multiple pages until this is reached or the hashtag is exhausted.", "default": 100 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many hashtags to process in parallel.", "default": 5 } } }, "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 } } }, "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 } } } } } } } } } } ```