# Threads Post Scraper Goat (`goat255/threads-post-scraper`) Actor Bulk Instagram Threads (Meta) post extraction. Text, media, likes, replies, reposts, quotes, timestamps. No login, no API key. - **URL**: https://apify.com/goat255/threads-post-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, 0 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 Post Scraper Goat - Bulk Instagram Threads Post Extraction Bulk-scrape **public posts from Instagram Threads (Meta)** by username or post URL. For every post you get a clean ordered row: text, media, likes, replies, reposts, quotes, timestamps. No login, no API key. Fast and lightweight. ### What this Threads post scraper does For each handle or post URL you provide, the actor returns one normalised row per public post containing text, media URLs, exact engagement counts, and timestamps. All records share a single ordered schema. Perfect for **content research, sentiment analysis, trend tracking, brand monitoring, and bulk archiving** of the Meta Threads ecosystem. ### Why use this Threads post scraper - **No login required.** Public posts only. - **No Threads / Meta API key required.** - **Fast and lightweight** - cheap to run at scale. - **Exact engagement counts** - likes, replies, reposts, quotes, reshares. - **Media URLs included** - photos and videos with direct CDN URLs. - **Bulk-friendly** - feed in handles or specific post URLs. - **Residential proxy rotation built in.** ### What data you get per post ```json { "ok": true, "username": "nasa", "authorName": "Example Brand", "authorIsVerified": true, "code": "DZDxufkkrca", "url": "https://www.threads.com/@nasa/post/DZDxufkkrca", "takenAt": "2026-06-01T21:51:47.000Z", "text": "Based on the latest data, the energy released at breakup ...", "likeCount": 408, "replyCount": 1, "repostCount": 13, "quoteCount": 2, "reshareCount": 3, "imageUrl": null, "videoUrl": null, "scrapedAt": "2026-06-02T11:30:00.000Z" } ```` #### Threads post scrapability - honest table | Field | Available without login? | |---|:---:| | First page of public posts (text, media, timestamp) | yes | | Per-post engagement (likes / replies / reposts / quotes / reshares) | yes | | **Deep pagination (full post history)** | no - login required | | Replies tab, reposts tab | no - login required | This is everything Threads exposes publicly per profile. The actor returns all of it. ### How to use the Threads Post Scraper 1. Click **Try for free** on the actor page. 2. Either enter **usernames** for timeline mode, or paste **post URLs** for single-post mode (or both). 3. Leave the **proxy** on default (Apify residential). 4. Click **Save & Start**. Download in JSON, CSV, Excel, XML, or HTML. ### Top use cases - **Sentiment / brand monitoring** - pull a competitor's recent Threads for tone analysis. - **Content research** - find top-performing post formats from a list of creators. - **Archive specific posts** - export by URL list for journalism / research. - **Engagement benchmarking** - rank a list of accounts by median post performance. - **Media bulk download** - pipe `imageUrl` / `videoUrl` into your download tool. - **AI / NLP training data** - clean structured input for fine-tuning or classification. ### Pricing Pay-per-result. No subscription and **no per-run start fee**. Failed lookups are never billed. | What you pay for | Price | |---|---| | Per post returned | $0.002 | 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-post-scraper").call(run_input={ "usernames": ["nasa", "mosseri"], }) for p in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{p.get('takenAt','')[:10]} โค {p['likeCount']:>5} {p['text'][:80]}") ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('goat255/threads-post-scraper').call({ postUrls: ['https://www.threads.com/@nasa/post/DZDxufkkrca'], }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(p => console.log(p.text)); ``` #### 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 posts only, no developer account required. #### How many posts per handle? Typically 4 to 10 of the most recent public posts per profile. Deep pagination is not available to any logged-out scraper. #### Why are some media fields null? Threads renders different post types (text-only, image, video, carousel) and not every post has media. `imageUrl` and `videoUrl` are null when the post is text-only. #### 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 replies and threads? The first page of the public profile is the ceiling for logged-out access. Reply trees require login. #### Can I export to CSV / Google Sheets / Excel? Yes - JSON / CSV / Excel / XML / HTML all supported, plus native integrations. ### Related Apify actors - ๐Ÿ‘ค [Threads Profile Scraper](https://apify.com/goat255/threads-profile-scraper) - profile metadata only. - ๐Ÿงต [Threads Scraper](https://apify.com/goat255/threads-scraper-goat) - profile + posts in one run. - ๐Ÿ“ [Twitter / X Tweet Scraper](https://apify.com/goat255/twitter-tweet-scraper) - Twitter tweets. - ๐Ÿ“ท [Instagram Posts Scraper](https://apify.com/goat255/instagram-posts-scraper) - Instagram posts. ### 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`): Handles to pull recent public posts from. Example: nasa, @zuck. ## `postUrls` (type: `array`): Specific Threads post URLs to fetch. Example: https://www.threads.com/@nasa/post/DZDxufkkrca. ## `proxyConfiguration` (type: `object`): Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results. ## `maxConcurrency` (type: `integer`): Parallel profile fetches. ## `includeRawPosts` (type: `boolean`): Also include the full unparsed post objects from the page payload. Off by default. ## Actor input object example ```json { "usernames": [ "nasa" ], "postUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxConcurrency": 5, "includeRawPosts": 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 = { "usernames": [ "nasa" ], "postUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/threads-post-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"], "postUrls": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("goat255/threads-post-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" ], "postUrls": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call goat255/threads-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/threads-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Post Scraper Goat", "description": "Bulk Instagram Threads (Meta) post extraction. Text, media, likes, replies, reposts, quotes, timestamps. No login, no API key.", "version": "0.1", "x-build-id": "BCGd5BGXU7PQIJxPX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~threads-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-threads-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~threads-post-scraper/runs": { "post": { "operationId": "runs-sync-goat255-threads-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~threads-post-scraper/run-sync": { "post": { "operationId": "run-sync-goat255-threads-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Usernames (timeline mode)", "type": "array", "description": "Handles to pull recent public posts from. Example: nasa, @zuck.", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs (single-post mode)", "type": "array", "description": "Specific Threads post URLs to fetch. Example: https://www.threads.com/@nasa/post/DZDxufkkrca.", "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": "Parallel profile fetches.", "default": 5 }, "includeRawPosts": { "title": "Include raw post objects", "type": "boolean", "description": "Also include the full unparsed post objects from the page payload. Off by default.", "default": 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 } } } } } } } } } } ```