# Threads Profile Scraper Goat (`goat255/threads-profile-scraper`) Actor Bulk Instagram Threads (Meta) profile metadata. Exact follower count, bio, verification, avatar, external link. No login, no API key. - **URL**: https://apify.com/goat255/threads-profile-scraper.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Threads Profile Scraper Goat - Bulk Instagram Threads Profile Metadata Bulk-scrape **public Instagram Threads (Meta) profiles** with no login and no API key. For every handle you pass in, you get one clean row: exact follower count, display name, bio, verification badge, external link, avatar URL. Fast and lightweight. ### What this Threads scraper does For each handle, the actor returns one normalised profile row containing identity, follower count, bio, external link, verification, and avatar. All records share a single ordered schema so the output drops straight into a spreadsheet or CRM. Perfect for **lead generation, influencer discovery, audience research, brand-monitoring pipelines, and CRM enrichment** for the Meta Threads ecosystem. ### Why use this Threads scraper - **No login required.** Public profiles only. - **No Threads / Meta API key required.** Works without any developer account. - **Fast and lightweight** - cheap to run at scale. - **Exact follower count** (e.g. 12,044,478) - not the rounded "12M" you see in the UI. - **Clean ordered schema** - drop straight into a spreadsheet or CRM. - **Residential proxy rotation built in** for reliable runs at scale. ### What data you get per profile ```json { "ok": true, "username": "nasa", "fullName": "Example Brand", "userId": "28829152388", "followerCount": 12044478, "followingCount": null, "postCount": null, "isVerified": true, "bio": "Example bio text", "externalUrl": "http://www.example.com", "profilePicUrl": "https://scontent.cdninstagram.com/...", "profileUrl": "https://www.threads.com/@nasa", "scrapedAt": "2026-06-02T11:30:00.000Z" } ```` #### Threads data scrapability - honest table | Field | Available without login? | Notes | |---|:---:|---| | Username, display name, user ID | yes | exact | | **Follower count** | yes | exact integer | | Following count | no | not exposed in logged-out payload | | Post (media) count | no | not exposed in logged-out payload | | Bio, external URL, verified, avatar | yes | exact | | Followers / following lists | no | login required | This is everything Threads exposes publicly. The actor returns all of it. ### How to use the Threads Profile Scraper 1. Click **Try for free** on the actor page. 2. Enter the **usernames** in the `usernames` array. Handles, `@handles`, or full profile URLs all work. 3. Leave the **proxy** on default (Apify residential). 4. Click **Save & Start**. Download in JSON, CSV, Excel, XML, or HTML. ### Top use cases - **Lead generation** - enrich a list of Threads handles with follower counts and bios. - **Influencer outreach** - sort a list of creators by audience size. - **CRM enrichment** - add Threads metrics to your contact records. - **Audience research** - measure the public footprint of accounts in your niche. - **Brand monitoring** - track follower growth across competitor and customer handles. - **Spreadsheet pipelines** - one row per handle, ready for Google Sheets / Excel. ### Pricing Pay-per-result. No subscription and **no per-run start fee**. Failed lookups are never billed. | What you pay for | Price | |---|---| | Per profile returned | $0.005 | Apify's $5 platform free credit applies on first use. ### Integrations #### Apify API ```bash curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json" ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("goat255/threads-profile-scraper").call(run_input={ "usernames": ["nasa", "zuck", "mosseri"], }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"@{item['username']:20} {item['followerCount']:>12,} followers") ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('goat255/threads-profile-scraper').call({ usernames: ['nasa', 'mosseri'], }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(p => console.log(`@${p.username}: ${p.followerCount}`)); ``` #### No-code Send results to Google Sheets, Slack, Zapier, Make, Amazon S3, HubSpot, or any webhook via [Apify Integrations](https://docs.apify.com/platform/integrations). ### FAQ #### Do I need a Threads or Meta API key? No. Public profiles only, no developer account required. #### Why are following count and post count null? Those numbers are not exposed in the logged-out view by the platform. They are gated behind login. The actor returns exactly what Threads makes public. #### Do I need a proxy? Apify residential is the default and recommended option for the most reliable results at scale. #### What if I get a `profile_unavailable` error? Switch to residential proxy if you are not already on one, or wait a few minutes - the flag clears with IP rotation. #### Can I scrape Threads posts with this actor? This actor is profile-metadata only. Use the **Threads Post Scraper Goat** for posts and the **Threads Scraper Goat** all-in-one actor for both in one run. #### Can I export to CSV / Google Sheets / Excel? Yes - JSON / CSV / Excel / XML / HTML all supported, plus native integrations. ### Related Apify actors - ๐Ÿ“ [Threads Post Scraper](https://apify.com/goat255/threads-post-scraper) - bulk Threads post extraction. - ๐Ÿงต [Threads Scraper](https://apify.com/goat255/threads-scraper-goat) - profile + posts in one run. - ๐Ÿ‘ค [Twitter / X Profile Scraper](https://apify.com/goat255/twitter-profile-scraper) - Twitter profile metadata. - ๐Ÿ“ท [Instagram Profile Scraper](https://apify.com/goat255/instagram-profile-scraper) - Instagram profiles with public emails. ### Support Found a missing field or a bug? Open an issue on the actor page. Reviews are read and replied to. # Actor input Schema ## `usernames` (type: `array`): Threads handles (with or without @) or full profile URLs. Example: nasa, @zuck, https://www.threads.com/@mosseri. ## `proxyConfiguration` (type: `object`): Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results. ## `maxConcurrency` (type: `integer`): How many profiles to fetch in parallel. ## Actor input object example ```json { "usernames": [ "nasa", "zuck", "mosseri" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 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 = { "usernames": [ "nasa", "zuck", "mosseri" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/threads-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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", "zuck", "mosseri", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("goat255/threads-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "usernames": [ "nasa", "zuck", "mosseri" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call goat255/threads-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/threads-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Profile Scraper Goat", "description": "Bulk Instagram Threads (Meta) profile metadata. Exact follower count, bio, verification, avatar, external link. No login, no API key.", "version": "0.1", "x-build-id": "Gfx6eb7OFhGNl9xCK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~threads-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-threads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~threads-profile-scraper/runs": { "post": { "operationId": "runs-sync-goat255-threads-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~threads-profile-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-threads-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Usernames or profile URLs", "type": "array", "description": "Threads handles (with or without @) or full profile URLs. Example: nasa, @zuck, https://www.threads.com/@mosseri.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many profiles to fetch 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 } } } } } } } } } } ```