# Instagram Full Profile Scraper (`goat255/instagram-full-profile-scraper`) Actor All-in-one Instagram scraper. One call per username returns profile data, recent posts, current stories, highlight reels, and items inside each highlight. Predictable flat-per-user pricing. Perfect for cold outreach, CRM enrichment, influencer discovery. - **URL**: https://apify.com/goat255/instagram-full-profile-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 1,000 full profile scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Full Profile Scraper - Profile, Posts, Stories & Highlights in One Call The all-in-one Instagram scraper. **One call per username** gets you profile data, recent posts, current 24-hour stories, highlight reels, and every item inside each highlight. Perfect for cold-outreach research, CRM enrichment, influencer discovery, and brand monitoring on Instagram - no API key, no login, no cookies. ### What this Instagram Full Profile Scraper does For every Instagram username you provide, this actor runs the full pipeline and returns a single rich record containing: 1. **Profile** - bio, follower/following counts, public email, public phone, business category, location, verified badge. 2. **Posts** - last N posts with captions, like/comment counts, partnership flags, tagged users, location, media URLs. 3. **Stories** - the current 24-hour story tray (images and videos). 4. **Highlights** - every highlight reel with titles, cover images, item counts. 5. **Highlight items** - every photo/video inside each highlight (configurable depth). Multi-source failover and rotating residential proxies keep the pipeline running through Instagram's rate limits. Replace 4 separate scrapers and 4 separate runs with **one record per prospect**. ### Why use the Instagram Full Profile Scraper - **One record per prospect** - everything a researcher needs for outreach, in one row. - **Predictable pricing** - flat charge per username regardless of how much data is pulled inside. - **No login, no cookies, no API key** - works on every public Instagram profile. - **Configurable depth** - tune posts, stories, highlights, and items independently to balance cost vs. completeness. - **Multi-source failover** - if one upstream source rate-limits, the actor falls back to another automatically. - **Residential proxies** built in. - **Public emails + phones** for business profiles extracted automatically. ### What data you get per Instagram username ```json { "username": "example_user", "userId": "000000000", "profile": { "fullName": "Example Account", "biography": "...", "followerCount": 1000000, "followingCount": 100, "isVerified": true, "publicEmail": "...", "category": "Example Category", "profilePicUrlHd": "https://..." }, "postsCount": 12, "storiesCount": 4, "highlightsCount": 5, "posts": [ { "shortcode": "...", "caption": "...", "likeCount": 12345, "commentCount": 67, "mediaType": "image", "displayUrl": "https://..." } ], "stories": [ { "id": "...", "mediaType": "video", "takenAt": 1714032018, "expiringAt": 1714118418, "imageUrl": "...", "videoUrl": "..." } ], "highlights": [ { "highlightId": "highlight:...", "title": "Wildlife", "mediaCount": 12, "coverImageUrl": "...", "items": [ { "imageUrl": "...", "videoUrl": "..." } ] } ] } ```` ### How to use the Instagram Full Profile Scraper 1. Click **Try for free** on the actor page. 2. Enter Instagram **usernames** in `usernames` (URLs, @handles, or plain usernames - all accepted). 3. Tune the scope knobs: - `postsPerUser` - default 12 (0 = skip posts entirely) - `storiesPerUser` - default 0 (all current stories). `-1` = skip - `highlightsPerUser` - default 5. `-1` = all - `itemsPerHighlight` - default 10. `-1` = all inside each highlight 4. Tune `concurrency` (default 3) and `delayBetweenRequests` (default 1s). 5. Click **Save & start**. Download JSON / CSV / Excel / XML / HTML. ### Input parameters | Field | Default | Description | |---|---|---| | `usernames` | - | Public Instagram usernames, @handles, or profile URLs | | `postsPerUser` | `12` | Recent posts to fetch. `0` = skip posts | | `storiesPerUser` | `0` | Stories from the 24h tray. `0` = all current. `-1` = skip | | `highlightsPerUser` | `5` | How many highlights to include. `0` = skip. `-1` = all | | `itemsPerHighlight` | `10` | Items inside each highlight. `0` = covers only. `-1` = all | | `concurrency` | `3` | Usernames processed in parallel | | `delayBetweenRequests` | `1.0` | Seconds between sub-requests within one username | | `proxyConfiguration` | residential | Apify proxy settings | ### Top use cases - **Cold outreach research** - one record per prospect, every field a researcher needs for personalization (recent posts, highlight topics, contact info). - **CRM lead enrichment** - append Instagram profile + content + contact data to your CRM in bulk. - **Influencer discovery and vetting** - partnership history (`isPaidPartnership` on posts), engagement rate inputs, content mix. - **Brand monitoring** - daily snapshot per tracked handle with everything they posted today. - **OSINT / investigations** - comprehensive profile snapshot at a point in time. - **Sales prospecting** - find business profiles in a category with email + phone + recent activity to evaluate fit. - **Recruiting** - source candidates with creator profiles in target categories and check Threads link. ### Integrations #### Apify API ```bash curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json" ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("goat255/instagram-full-profile-scraper").call(run_input={ "usernames": ["example_user_1", "example_user_2", "example_user_3"], "postsPerUser": 12, "highlightsPerUser": 5, "itemsPerHighlight": 10, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): p = item["profile"] print(f"@{item['username']}: {p['followerCount']} followers, {item['postsCount']} posts, {item['highlightsCount']} highlights") if p.get("publicEmail"): print(f" contact: {p['publicEmail']}") ``` #### No-code integrations Send results to Google Sheets, Slack, Zapier, Make, HubSpot, S3, or any webhook via [Apify Integrations](https://docs.apify.com/platform/integrations). ### Pricing Pay-per-event, **flat per-username pricing**. One charge per username covers profile + posts + stories + highlights regardless of how much data is pulled. | Event | Price (tiered by Apify plan) | |---|---| | Full profile scraped (primary) | $0.025 - $0.035 | Apify Diamond/Platinum/Gold subscribers pay $0.025 per profile; Bronze, Silver, and Free tiers pay slightly more. Apify's $5 platform free credit applies on first use. ### FAQ #### Why is this more expensive than the regular profile scraper? This actor returns 4-5x more data per username (profile + posts + stories + highlights + inner items). Use this one when you need a complete dossier per prospect. Use the [Instagram Profile Scraper](https://apify.com/goat255/instagram-profile-scraper) when you only need basic profile data. #### Can I scrape private Instagram accounts? Profile metadata may be returned for private accounts, but posts/stories/highlights will be empty. #### How is the price calculated? Per username, not per item. Scraping a profile with 50 posts and 10 highlights costs the same as one with 5 posts and 0 highlights. #### How do I limit cost? Set `postsPerUser`, `storiesPerUser`, `highlightsPerUser`, and `itemsPerHighlight` to small values - or `0` / `-1` to skip a section entirely. #### What's the difference between Stories and Highlights? Stories = current 24-hour tray (disappear after 24h). Highlights = permanently saved story collections shown on the profile below the bio. #### Will Instagram block this? Multi-source failover + rotating residential proxies handle rate limits automatically. #### Does it work for Instagram Reels? Reels appear inside the `posts` array with `mediaType: "video"` and `videoUrl` populated. ### Related Apify actors - 📝 [Instagram Posts Scraper](https://apify.com/goat255/instagram-posts-scraper) - posts only, cheaper per item. - 👤 [Instagram Profile Scraper](https://apify.com/goat255/instagram-profile-scraper) - profile data only, cheapest. - 📷 [Instagram Stories & Highlights Scraper](https://apify.com/goat255/instagram-stories-highlights-scraper) - stories and highlights only. ### Support Open an issue on the actor page if something breaks or a field's missing. Reviews are read and replied to. # Actor input Schema ## `usernames` (type: `array`): Public Instagram usernames or profile URLs. Mix formats freely: nasa, @nasa, https://instagram.com/nasa. ## `postsPerUser` (type: `integer`): Number of recent posts to scrape. Use 0 to skip posts entirely. Pages are fetched as needed. ## `storiesPerUser` (type: `integer`): How many of the user's currently-active stories to capture. 0 = all current stories. -1 = skip stories entirely. ## `highlightsPerUser` (type: `integer`): How many highlight reels to fetch metadata for. 0 = skip highlights entirely. -1 = all highlights. ## `itemsPerHighlight` (type: `integer`): How many items inside each highlight to fetch. 0 = covers only (no inner expansion). -1 = all items in each highlight. ## `concurrency` (type: `integer`): Number of usernames processed in parallel. Each username's internal pipeline runs sequentially. ## `delayBetweenRequests` (type: `number`): Seconds to wait between requests inside a single username pipeline. ## `proxyConfiguration` (type: `object`): Residential proxies are required to avoid blocks. Apify residential proxy is configured by default. ## Actor input object example ```json { "usernames": [ "nasa", "natgeo" ], "postsPerUser": 12, "storiesPerUser": 0, "highlightsPerUser": 5, "itemsPerHighlight": 10, "concurrency": 3, "delayBetweenRequests": 1, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "usernames": [ "nasa", "natgeo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/instagram-full-profile-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 = { "usernames": [ "nasa", "natgeo", ] } # Run the Actor and wait for it to finish run = client.actor("goat255/instagram-full-profile-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 '{ "usernames": [ "nasa", "natgeo" ] }' | apify call goat255/instagram-full-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/instagram-full-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Full Profile Scraper", "description": "All-in-one Instagram scraper. One call per username returns profile data, recent posts, current stories, highlight reels, and items inside each highlight. Predictable flat-per-user pricing. Perfect for cold outreach, CRM enrichment, influencer discovery.", "version": "0.1", "x-build-id": "QebzElUj6ZzfVOdau" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~instagram-full-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-instagram-full-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~instagram-full-profile-scraper/runs": { "post": { "operationId": "runs-sync-goat255-instagram-full-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~instagram-full-profile-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-instagram-full-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames" ], "properties": { "usernames": { "title": "Instagram Usernames or URLs", "type": "array", "description": "Public Instagram usernames or profile URLs. Mix formats freely: nasa, @nasa, https://instagram.com/nasa.", "items": { "type": "string" } }, "postsPerUser": { "title": "Posts per user", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Number of recent posts to scrape. Use 0 to skip posts entirely. Pages are fetched as needed.", "default": 12 }, "storiesPerUser": { "title": "Stories per user (current 24h tray)", "minimum": -1, "maximum": 100, "type": "integer", "description": "How many of the user's currently-active stories to capture. 0 = all current stories. -1 = skip stories entirely.", "default": 0 }, "highlightsPerUser": { "title": "Highlights per user", "minimum": -1, "maximum": 200, "type": "integer", "description": "How many highlight reels to fetch metadata for. 0 = skip highlights entirely. -1 = all highlights.", "default": 5 }, "itemsPerHighlight": { "title": "Items per highlight", "minimum": -1, "maximum": 200, "type": "integer", "description": "How many items inside each highlight to fetch. 0 = covers only (no inner expansion). -1 = all items in each highlight.", "default": 10 }, "concurrency": { "title": "Concurrency (usernames in parallel)", "minimum": 1, "maximum": 15, "type": "integer", "description": "Number of usernames processed in parallel. Each username's internal pipeline runs sequentially.", "default": 3 }, "delayBetweenRequests": { "title": "Delay between requests (seconds)", "minimum": 0, "type": "number", "description": "Seconds to wait between requests inside a single username pipeline.", "default": 1 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies are required to avoid blocks. Apify residential proxy is configured by default.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```