# Threads Scraper - Posts, Profiles & Comments (`vitalue/threads-scraper`) Actor Scrape Threads (threads.net) posts, user profiles, and comments. Search by keyword, scrape user data (bio, followers, verified status), posts with engagement metrics, and comments. - **URL**: https://apify.com/vitalue/threads-scraper.md - **Developed by:** [Kovtun Vitalik](https://apify.com/vitalue) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ### What does Threads Scraper do? Extract posts, profiles & comments from Threads (threads.net) — no login, no browser, HTTP-only. **$3 per 1,000 results.** Run it via the [Apify platform](https://apify.com) to get API access, scheduled runs, webhook integrations, and proxy rotation out of the box. The scraper supports three modes: - **Scrape user profiles** — bio, follower count, verified status, profile picture - **Scrape posts** from specific users — text, likes, timestamps, images. Optionally filter by keyword. - **Scrape comments** on posts — replies from other users with like counts ### Why use Threads Scraper? - **Brand monitoring** — Track mentions of your brand, products, or competitors on Threads - **Competitor analysis** — Monitor competitor posting frequency and content strategy - **Influencer research** — Evaluate influencers by follower count, verification status, and engagement - **Trend analysis** — Search trending topics and hashtags to spot emerging conversations - **Market research** — Gather public sentiment data for reports and dashboards - **Content strategy** — Analyze what types of posts drive the most likes in your niche ### How to use Threads Scraper 1. Go to the **Input** tab on this Actor's page 2. Choose your **Results Type**: posts, profiles, or comments 3. Fill in **Usernames** (for posts/profiles) or **Post URLs** (for comments) 4. Set your **Max Items** limit (default: 50) 5. For **comments**, enable **Residential proxy** in Proxy Configuration 6. Click **Start** and wait for the results 7. Download your data in JSON, CSV, Excel, or HTML format from the **Output** tab ### Input parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `usernames` | Array | For posts/profiles | Usernames to scrape (without @). Example: `["zuck", "instagram"]` | | `postUrls` | Array | For comments | Direct URLs of posts. Example: `["https://www.threads.net/@zuck/post/ABC123"]` | | `resultsType` | Enum | No | `posts` (default), `profiles`, or `comments` | | `searchQuery` | String | No | Filter posts by keyword. Requires `usernames` — fetches their posts and returns matches. | | `maxItems` | Integer | No | Maximum results to return (default: 50, max: 10000) | | `proxyConfiguration` | Object | For comments | Residential proxy required for comment scraping from Apify cloud | #### Input example — scrape posts ```json { "usernames": ["zuck", "instagram"], "resultsType": "posts", "maxItems": 50 } ```` #### Input example — scrape profiles ```json { "usernames": ["zuck", "instagram", "threads"], "resultsType": "profiles" } ``` #### Input example — scrape comments ```json { "postUrls": ["https://www.threads.net/@zuck/post/DTaa5vUFB1E"], "resultsType": "comments", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` You can also provide `usernames` instead of `postUrls` — the scraper will auto-discover recent posts and scrape their comments: ```json { "usernames": ["zuck"], "resultsType": "comments", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` #### Input example — search posts by keyword ```json { "searchQuery": "AI", "usernames": ["zuck", "mosseri"], "resultsType": "posts", "maxItems": 20 } ``` ### Output You can download the dataset in various formats such as **JSON, HTML, CSV, or Excel**. #### Post output example ```json { "type": "post", "username": "zuck", "text": "Meanwhile at Meta HQ", "likeCount": 7065, "isReply": false, "publishedAt": "2026-03-10T00:26:46+00:00", "url": "https://www.threads.net/@zuck/post/DVrwsE5EdSz", "postId": "3849384441660167347", "imageUrls": ["https://..."], "scrapedAt": "2026-04-04T10:00:00+00:00" } ``` #### Profile output example ```json { "type": "profile", "username": "zuck", "fullName": "Mark Zuckerberg", "bio": "Mostly superintelligence and MMA takes", "followerCount": 5500000, "followingCount": 0, "isVerified": true, "profilePicUrl": "https://...", "isPrivate": false, "scrapedAt": "2026-04-04T10:00:00+00:00" } ``` #### Comment output example ```json { "type": "comment", "username": "user123", "text": "Great post!", "likeCount": 305, "replyTo": "zuck", "publishedAt": "2026-03-15T15:00:00+00:00", "postUrl": "https://www.threads.net/@zuck/post/DTaa5vUFB1E", "scrapedAt": "2026-04-04T10:00:00+00:00" } ``` ### Data fields reference #### Posts | Field | Type | Description | |-------|------|-------------| | `username` | String | Author's username | | `text` | String | Post text content | | `likeCount` | Number | Number of likes | | `isReply` | Boolean | Whether this post is a reply to another post | | `publishedAt` | Date | Publication timestamp (ISO 8601) | | `url` | String | Direct link to the post | | `postId` | String | Internal post identifier | | `imageUrls` | Array | URLs of attached images | #### Profiles | Field | Type | Description | |-------|------|-------------| | `username` | String | Username | | `fullName` | String | Display name | | `bio` | String | Profile biography | | `followerCount` | Number | Number of followers (approximate) | | `followingCount` | Number | Number of accounts followed | | `isVerified` | Boolean | Verification badge status | | `profilePicUrl` | String | Profile picture URL | | `isPrivate` | Boolean | Whether the account is private | #### Comments | Field | Type | Description | |-------|------|-------------| | `username` | String | Comment author | | `text` | String | Comment text | | `likeCount` | Number | Number of likes on the comment | | `replyTo` | String | Username this comment is replying to | | `publishedAt` | Date | Comment timestamp | | `postUrl` | String | URL of the parent post | ### How much does it cost to scrape Threads? Threads Scraper uses a **pay-per-result** pricing model: | Results | Cost | |---------|------| | 1,000 | $3.00 | | 10,000 | $30.00 | | 50,000 | $150.00 | Platform compute costs are minimal since the scraper uses HTTP requests only (no browser). A typical run scraping 1,000 posts uses less than **0.01 compute units**. **Comment scraping** requires residential proxy which has additional Apify platform costs. Free Apify accounts include **$5 of free platform usage per month**. ### How it works under the hood The scraper uses two data sources depending on what's being scraped: - **Profiles**: Fetched via `facebookexternalhit` User-Agent which triggers Meta's SSR (server-side rendering) and returns OG meta tags with profile data. Enriched with `is_verified` from the GraphQL API. - **Posts**: Fetched via Threads' internal GraphQL API (`/api/graphql`) using the `BarcelonaProfileThreadsTabQuery` endpoint. Works from any IP without proxy. - **Comments**: Requires `Googlebot` User-Agent to get full SSR with thread replies. Googlebot is IP-verified by Meta, so a **residential proxy** is needed when running from datacenter IPs (like Apify cloud). - **Search**: Threads search API requires authentication. As a workaround, the scraper fetches posts from provided usernames and filters by keyword. #### Limitations - **Reply/repost counts** are not available from the public API. Threads intentionally hides these metrics from unauthenticated endpoints. Only `likeCount` is returned. - **Comment scraping** requires a residential proxy on Apify cloud (Googlebot UA is IP-verified by Meta). - **Search** requires `usernames` — it filters their posts by keyword rather than searching all of Threads. - **followerCount** is approximate (parsed from meta description, e.g., "5.5M" becomes 5,500,000). ### Tips for optimal usage - **Start small** — Test with `maxItems: 10` to verify the output format before running large scrapes - **Use residential proxy for comments** — Enable it in Proxy Configuration with the RESIDENTIAL group - **Schedule regular runs** — Set up recurring scrapes for ongoing monitoring (daily, weekly) - **Combine with integrations** — Export results to Google Sheets, Slack, or webhooks via Apify integrations - **Rate limits** — The scraper includes built-in retry logic and rate limiting. Very large scrapes (10,000+) may take longer due to API throttling ### API usage examples #### Run via Apify API ```bash curl -X POST "https://api.apify.com/v2/acts/VitaLuE~threads-scraper/runs" \ -H "Authorization: Bearer YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "usernames": ["zuck"], "resultsType": "posts", "maxItems": 50 }' ``` #### Run via Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("VitaLuE/threads-scraper").call(run_input={ "usernames": ["zuck", "instagram"], "resultsType": "profiles", }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### Run via JavaScript SDK ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('VitaLuE/threads-scraper').call({ usernames: ['zuck'], resultsType: 'posts', maxItems: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### FAQ and support **Is it legal to scrape Threads?** This scraper only collects publicly available data. Always ensure your use case complies with applicable laws and Threads' Terms of Service. **Can it scrape private profiles?** No. Only public profiles and posts are accessible. **Why are reply/repost counts missing?** Threads' public API intentionally does not return reply and repost counts for unauthenticated requests. Only `likeCount` is available. The `isReply` boolean field indicates whether a post is a reply to another post. **Why do comments require a residential proxy?** Comment data is only returned when Threads detects a Googlebot crawler, and Meta verifies Googlebot by IP address. From Apify's datacenter IPs, a residential proxy is needed to pass this verification. **How does search work?** Threads' search API requires authentication. The scraper works around this by fetching posts from the provided usernames and filtering them by your search query keyword. **Need a custom solution?** If you need additional features or a custom scraper, open an issue in the **Issues** tab or contact the developer. # Actor input Schema ## `searchQuery` (type: `string`): Filter posts by keyword. Requires 'usernames' — fetches their posts and returns only those matching the query. ## `usernames` (type: `array`): List of Threads usernames to scrape (without @). Example: \['zuck', 'instagram'] ## `postUrls` (type: `array`): Direct URLs of Threads posts to scrape comments from. Example: \['https://www.threads.net/@zuck/post/ABC123'] ## `resultsType` (type: `string`): Type of data to scrape ## `maxItems` (type: `integer`): Maximum number of results to return ## `proxyConfiguration` (type: `object`): Required for comment scraping. Use Apify residential proxy (RESIDENTIAL group) to enable Googlebot UA which returns comment data. ## Actor input object example ```json { "usernames": [ "zuck" ], "resultsType": "posts", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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": [ "zuck" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vitalue/threads-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": ["zuck"] } # Run the Actor and wait for it to finish run = client.actor("vitalue/threads-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": [ "zuck" ] }' | apify call vitalue/threads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vitalue/threads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Threads Scraper - Posts, Profiles & Comments", "description": "Scrape Threads (threads.net) posts, user profiles, and comments. Search by keyword, scrape user data (bio, followers, verified status), posts with engagement metrics, and comments.", "version": "0.1", "x-build-id": "8I6bzqECZO05KIwBb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vitalue~threads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vitalue-threads-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/vitalue~threads-scraper/runs": { "post": { "operationId": "runs-sync-vitalue-threads-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/vitalue~threads-scraper/run-sync": { "post": { "operationId": "run-sync-vitalue-threads-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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Filter posts by keyword. Requires 'usernames' — fetches their posts and returns only those matching the query." }, "usernames": { "title": "Usernames", "type": "array", "description": "List of Threads usernames to scrape (without @). Example: ['zuck', 'instagram']", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Direct URLs of Threads posts to scrape comments from. Example: ['https://www.threads.net/@zuck/post/ABC123']", "items": { "type": "string" } }, "resultsType": { "title": "Results Type", "enum": [ "posts", "profiles", "comments" ], "type": "string", "description": "Type of data to scrape", "default": "posts" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of results to return", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Required for comment scraping. Use Apify residential proxy (RESIDENTIAL group) to enable Googlebot UA which returns comment data.", "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 } } } } } } } } } } ```