# Threads Scraper — Posts, Replies & Profiles, No Login (`memo23/threads-scraper`) Actor
Threads Scraper — extract posts, replies and profiles from threads.com with no login or cookies. Paste usernames or post URLs and get flat rows: text, like/reply/repost/quote counts, media, timestamps and author. Bulk-ready. JSON, CSV or Excel.
- **URL**: https://apify.com/memo23/threads-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Social media, Lead generation, AI
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $4.00 / 1,000 post scrapeds
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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Scraper
Scrape **Threads** (threads.com) — profiles, user posts, replies and single post threads — **without a login, cookies, or an account**. Give it usernames and/or post URLs and get back clean, flat rows: post text, like and reply counts, media, timestamps and author info. JSON, CSV or Excel.
### Why use this scraper
- **No login, no cookies.** Pure HTTP against Threads' public guest API — nothing to configure, no session to babysit.
- **Whole-account in one run.** Point it at any set of usernames and pull their posts or replies together.
- **Structured output.** One row per post with a stable schema — ready for analysis, monitoring, or feeding an AI agent.
- **Post-level detail.** Paste a Threads post URL to pull the post and its reply thread.
### What it does
| Input | Mode | You get |
|---|---|---|
| Usernames | **Posts** | Each user's Threads posts |
| Usernames | **Replies** | Each user's replies |
| Usernames | **Profile info** | Full name, follower count, bio, verification, profile picture |
| Post URLs | (automatic) | The post plus its reply thread (optionally the users who liked it) |
### How it works
You give it Threads usernames or post URLs. The actor bootstraps a public **guest token** from Threads' own web app (no account, no cookies) and calls Threads' public GraphQL API directly over plain HTTP — the same endpoint the website uses. Each target is fetched, normalized to a flat schema, and streamed to your dataset. No browser, no third-party unblock service.
### Input
| Field | Type | Description |
|---|---|---|
| `usernames` | array | Threads handles, `@handles`, or profile URLs. Each is scraped per **mode**. |
| `mode` | select | `posts` (default), `replies`, or `profile`. |
| `postUrls` | array | Threads post URLs (`https://www.threads.com/@user/post/CODE`). |
| `includeLikers` | boolean | For post URLs, also scrape who liked the post. |
| `maxItems` | integer | Max total rows across all targets. |
| `proxy` | object | Datacenter (default) works and is fast; switch to Residential for very high volume. |
#### Example input
```json
{
"usernames": ["zuck", "mosseri"],
"mode": "posts",
"maxItems": 100
}
````
### Output
Each post row includes:
| Field | Description |
|---|---|
| `postId`, `code`, `url` | Post identifiers + canonical Threads URL |
| `username`, `userId`, `userFullName`, `userIsVerified` | Author |
| `text` | Post text |
| `publishedAt`, `takenAtTimestamp` | ISO timestamp + unix |
| `likeCount`, `replyCount`, `repostCount`, `quoteCount` | Engagement |
| `isReply`, `replyToAuthor` | Reply context |
| `mediaCount`, `mediaUrls` | Attached images/videos |
| `linkPreviewUrl` | Link preview target, if any |
#### Sample output
```json
{
"postId": "3937491905269768921",
"code": "DakyAavlKLZ",
"url": "https://www.threads.com/@zuck/post/DakyAavlKLZ",
"username": "zuck",
"userIsVerified": true,
"text": "Today we're releasing Muse Spark 1.1 ...",
"publishedAt": "2026-07-09T14:00:34.000Z",
"likeCount": 2767,
"isReply": false,
"mediaCount": 0,
"scrapedFromMode": "posts"
}
```
### Pricing
Pay-per-result — you only pay for what you get. See the **Pricing** tab on the actor page for current rates.
| Event | When you're charged |
|---|---|
| Actor start | Once per run (platform floor) |
| Post scraped | Per row returned in the output |
### FAQ
**Do I need a Threads or Instagram account?** No. It uses the public guest API — no login, no cookies.
**Can I scrape a single post and its replies?** Yes — put its URL in `postUrls`.
**Which pricing model?** Pay per result — you only pay for rows returned. See the **Pricing** tab.
### Support
Found a bug or want a new field/mode? Open an issue on the actor's **Issues** tab.
### ⚠️ Disclaimer
This scraper only collects data that is **publicly available** on Threads without logging in. Use it in compliance with Threads' terms and applicable law (including data-protection rules such as GDPR). You are responsible for how you use the data.
### Keywords
threads scraper, threads.com scraper, threads api, scrape threads posts, threads profile scraper, threads replies, social media scraper, threads data export, no-login threads scraper
# Actor input Schema
## `usernames` (type: `array`):
Threads usernames — a handle (zuck), @handle, or full profile URL. Each is scraped according to the Mode below.
## `mode` (type: `string`):
What to pull for each username: their posts, their replies, or just profile info.
## `postUrls` (type: `array`):
Threads post URLs (https://www.threads.com/@user/post/CODE) — pulls the post plus its reply thread.
## `includeLikers` (type: `boolean`):
For each post URL, also scrape the list of users who liked it.
## `searchQueries` (type: `array`):
Keywords/phrases to search Threads for — returns posts mentioning each term, from any author. e.g. "climate change", "your brand name".
## `hashtags` (type: `array`):
Hashtag feeds to pull (with or without the leading #), e.g. "coffee" or "#coffee". Returns recent/top posts under each tag.
## `searchSortType` (type: `string`):
For keyword searches: 'Top' (most relevant/engaged) or 'Recent' (newest first). Hashtag feeds are unaffected.
## `maxItems` (type: `integer`):
Maximum total rows across all targets.
## `proxy` (type: `object`):
Datacenter (default) works well and is fast. Switch to RESIDENTIAL if you hit rate limits at high volume.
## Actor input object example
```json
{
"usernames": [
"zuck"
],
"mode": "posts",
"includeLikers": false,
"searchSortType": "top",
"maxItems": 100,
"proxy": {
"useApifyProxy": true
}
}
```
# 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"
],
"maxItems": 100,
"proxy": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("memo23/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"],
"maxItems": 100,
"proxy": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("memo23/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"
],
"maxItems": 100,
"proxy": {
"useApifyProxy": true
}
}' |
apify call memo23/threads-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=memo23/threads-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Threads Scraper — Posts, Replies & Profiles, No Login",
"description": "Threads Scraper — extract posts, replies and profiles from threads.com with no login or cookies. Paste usernames or post URLs and get flat rows: text, like/reply/repost/quote counts, media, timestamps and author. Bulk-ready. JSON, CSV or Excel.",
"version": "0.0",
"x-build-id": "K5UpGAIGmLjlAwWve"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/memo23~threads-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-memo23-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/memo23~threads-scraper/runs": {
"post": {
"operationId": "runs-sync-memo23-threads-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/memo23~threads-scraper/run-sync": {
"post": {
"operationId": "run-sync-memo23-threads-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"usernames": {
"title": "Usernames",
"type": "array",
"description": "Threads usernames — a handle (zuck), @handle, or full profile URL. Each is scraped according to the Mode below.",
"items": {
"type": "string"
}
},
"mode": {
"title": "Mode (for usernames)",
"enum": [
"posts",
"replies",
"profile"
],
"type": "string",
"description": "What to pull for each username: their posts, their replies, or just profile info.",
"default": "posts"
},
"postUrls": {
"title": "Post URLs",
"type": "array",
"description": "Threads post URLs (https://www.threads.com/@user/post/CODE) — pulls the post plus its reply thread.",
"items": {
"type": "string"
}
},
"includeLikers": {
"title": "Include likers (for post URLs)",
"type": "boolean",
"description": "For each post URL, also scrape the list of users who liked it.",
"default": false
},
"searchQueries": {
"title": "Search keywords",
"type": "array",
"description": "Keywords/phrases to search Threads for — returns posts mentioning each term, from any author. e.g. \"climate change\", \"your brand name\".",
"items": {
"type": "string"
}
},
"hashtags": {
"title": "Hashtags",
"type": "array",
"description": "Hashtag feeds to pull (with or without the leading #), e.g. \"coffee\" or \"#coffee\". Returns recent/top posts under each tag.",
"items": {
"type": "string"
}
},
"searchSortType": {
"title": "Search ranking",
"enum": [
"top",
"recent"
],
"type": "string",
"description": "For keyword searches: 'Top' (most relevant/engaged) or 'Recent' (newest first). Hashtag feeds are unaffected.",
"default": "top"
},
"maxItems": {
"title": "Max results",
"minimum": 1,
"type": "integer",
"description": "Maximum total rows across all targets.",
"default": 100
},
"proxy": {
"title": "Proxy",
"type": "object",
"description": "Datacenter (default) works well and is fast. Switch to RESIDENTIAL if you hit rate limits at high volume.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```