# Instagram Hashtag Scraper | $2/1K Posts (`ethereal_wool/instagram-hashtag-scraper`) Actor Extract Instagram hashtag data — title, author, engagement, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required. - **URL**: https://apify.com/ethereal\_wool/instagram-hashtag-scraper.md - **Developed by:** [Jackie Chen](https://apify.com/ethereal_wool) (community) - **Categories:** Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ![instagram-hashtag-scraper](https://api.apify.com/v2/key-value-stores/48FFrfZnw5XqzUC1C/records/instagram-hashtag-scraper__hero) Scrape **Instagram** posts by **hashtag**. Returns clean, structured data for each post: caption, hashtags, mentions, like / comment / play counts, image and video URLs, music, and author info. Toggle between the **Top** (most popular) and **Recent** (newest) feeds. > **Unofficial.** This Actor is not affiliated with, authorized, or endorsed by Instagram > or Meta Platforms, Inc. It is an independent tool that retrieves publicly available data > via a third-party API. Use it in compliance with Instagram's terms and all applicable > laws; you are responsible for how you use the retrieved data. ### What it does - **Hashtag search** — give one or more hashtags (without the `#`); the Actor fetches the hashtag feed for each. - **Top or Recent** — choose `top` for the most popular posts or `recent` for the newest. - Each post is normalized to a flat record with engagement counts, media URLs, and author. ### Input | Field | Type | Default | Description | |---|---|---|---| | `searchKeywords` | string[] | `["travel"]` | Hashtags to scrape, **without** the leading `#`. Each is scraped independently. | | `feedType` | enum | `top` | `top` (most popular) or `recent` (newest). | | `maxItems` | integer | `24` | Max total posts to scrape across all hashtags. | #### Example input ```json { "searchKeywords": ["travel", "streetphotography"], "feedType": "top", "maxItems": 48 } ```` ### Output One dataset item per post: ```json { "id": "3911685285908737132", "shortcode": "DZJGQrjtmxs", "url": "https://www.instagram.com/p/DZJGQrjtmxs/", "caption": "Come With Us!! ...", "hashtags": ["travel"], "mentions": [], "likeCount": null, "commentCount": 108, "playCount": 80025, "viewCount": 0, "isVideo": true, "mediaType": 2, "productType": "clips", "videoDuration": 38.4, "coverUrl": "https://...", "imageUrls": ["https://..."], "videoUrl": "https://...", "music": { "title": "...", "artist": "..." }, "author": { "username": "themichellehammons", "fullName": "Michelle Hammons", "userId": "...", "isVerified": true, "profilePicUrl": "https://..." }, "username": "themichellehammons", "takenAt": "2026-06-03T23:30:50Z", "takenAtTimestamp": 1780587050, "source": "hashtag:travel:top" } ``` ### Notes - Data is sourced live; Instagram occasionally rate-limits, so the Actor retries transient blocks with exponential backoff. - Post IDs are de-duplicated within a run. - `likeCount` may be `null` when Instagram hides like counts on a post. ### Quick start 1. Open the Actor and press **Run** — the default input works out of the box. 2. Adjust the input fields below to your target (keywords, IDs, or URLs) and set `maxItems` to cap spend. 3. Grab results from the **Dataset** tab as JSON / CSV / Excel, or pull them via the [Apify API](https://docs.apify.com/api/v2) and MCP from your own code. No proxies to configure, no cookies to paste, no login — the Actor handles everything server-side. ### Why teams switch to this Instagram hashtag scraper Hashtag feeds are the fastest way to map a topic on Instagram, but browser-based scrapers stall on them and bill a premium. This Actor reads a direct HTTP API and returns recent and top posts for any hashtag as structured JSON at **$2 per 1,000 posts**, with engagement metrics attached. ### What people build with it - **Trend detection** — track a hashtag daily and chart volume and engagement to spot momentum before it peaks. - **Campaign measurement** — monitor your branded hashtag to capture UGC and measure reach across creators. - **Creator discovery** — the accounts repeatedly topping a niche hashtag are your collaboration shortlist. - **Competitive analysis** — watch the hashtags competitors push and the posts that win under them. - **Content research** — high-performing posts under a topic tag are a ready-made template library. ### Tips for better results - Pass tags with or without the leading `#`. - Use several specific tags rather than one broad one for cleaner topic coverage. - Feed discovered accounts into [Instagram User Posts Scraper](https://apify.com/ethereal_wool/instagram-user-posts-scraper) and [Instagram Profile Scraper](https://apify.com/ethereal_wool/instagram-profile-scraper) for a full picture of each creator. *** ### Why this Actor - **Direct API, no headless browser** — fast, stable runs with nothing to babysit. - **No login, no cookies** — we never touch your accounts, so there's no ban risk. - **Fresh, real-time data** — every run reads the source live, not a stale cache. - **Pay per result** — you're billed only for the rows actually delivered. - **Structured JSON** — export to CSV, Excel, or JSON, or pull straight from the API / MCP. ### Use cases - Track trends, keywords, and hashtags as they emerge. - Find top creators and viral content in any niche. - Run competitor and category research at scale. - Build content-idea pipelines and trend dashboards. ### FAQ **Do I need an account, cookies, or to log in anywhere?** No. The Actor talks to a fast, direct HTTP API server-side — you just provide inputs and run it. **How am I billed?** Pay-per-result: a fixed price per row returned, with no separate platform/compute charge. Caps like `maxItems` keep spend predictable. **Can I run it on a schedule or call it from my app?** Yes — use Apify Schedules, the REST API, the JavaScript / Python clients, or the MCP server. See the **API** tab. **Is this affiliated with Instagram?** No. It's an independent tool that collects publicly available data. Use it in line with the platform's terms and applicable law. ### More Instagram scrapers by us - [**Instagram Profile**](https://apify.com/ethereal_wool/instagram-profile-scraper) — Profile · bio · follower & post counts - [**Instagram User Posts**](https://apify.com/ethereal_wool/instagram-user-posts-scraper) — Post feed · captions · engagement · media - [**Instagram Reels**](https://apify.com/ethereal_wool/instagram-reels-scraper) — Reels · play counts · MP4 download - [**Instagram Comments**](https://apify.com/ethereal_wool/instagram-comments-scraper) — Post comments + replies Browse the full fleet → **https://apify.com/ethereal\_wool** # Actor input Schema ## `searchKeywords` (type: `array`): Hashtags to scrape posts for, WITHOUT the leading '#' (e.g. 'travel', 'streetphotography'). Each hashtag is scraped independently. ## `feedType` (type: `string`): Which hashtag feed to pull: 'top' returns the most popular posts, 'recent' returns the newest posts. ## `maxItems` (type: `integer`): Maximum total number of posts to scrape across all hashtags. ## `proxyConfiguration` (type: `object`): Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed. ## Actor input object example ```json { "searchKeywords": [ "travel" ], "feedType": "top", "maxItems": 24, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchKeywords": [ "travel" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ethereal_wool/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 = { "searchKeywords": ["travel"] } # Run the Actor and wait for it to finish run = client.actor("ethereal_wool/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 '{ "searchKeywords": [ "travel" ] }' | apify call ethereal_wool/instagram-hashtag-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ethereal_wool/instagram-hashtag-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Hashtag Scraper | $2/1K Posts", "description": "Extract Instagram hashtag data — title, author, engagement, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.", "version": "0.1", "x-build-id": "wJA6tbGCpdwaVudbA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ethereal_wool~instagram-hashtag-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ethereal_wool-instagram-hashtag-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ethereal_wool~instagram-hashtag-scraper/runs": { "post": { "operationId": "runs-sync-ethereal_wool-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/ethereal_wool~instagram-hashtag-scraper/run-sync": { "post": { "operationId": "run-sync-ethereal_wool-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", "properties": { "searchKeywords": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape posts for, WITHOUT the leading '#' (e.g. 'travel', 'streetphotography'). Each hashtag is scraped independently.", "default": [ "travel" ], "items": { "type": "string" } }, "feedType": { "title": "Feed type", "enum": [ "top", "recent" ], "type": "string", "description": "Which hashtag feed to pull: 'top' returns the most popular posts, 'recent' returns the newest posts.", "default": "top" }, "maxItems": { "title": "Max posts", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum total number of posts to scrape across all hashtags.", "default": 24 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```