# 🧵 Threads Search Post Scraper (`api-empire/threads-search-post-scraper`) Actor

🧵 Threads Search Post Scraper searches and collects Threads posts plus complete reply chains. 🔎 Capture text, author, timestamps, likes, reposts, media, links, hashtags & mentions. ⚡ Ideal for social listening, sentiment, competitor research, and trend analysis. 📊

- **URL**: https://apify.com/api-empire/threads-search-post-scraper.md
- **Developed by:** [API Empire](https://apify.com/api-empire) (community)
- **Categories:** Social media, Lead generation, Other
- **Stats:** 1 total users, 0 monthly users, 96.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Search Post Scraper

Apify actor that loads Threads GraphQL credentials from the public search page, resolves each target post id, fetches the replies connection, and pushes **flat post objects** (same normalization as the standalone `extract_posts` script).

### Input

- **urls** (required): Threads post URLs and/or numeric post IDs (same idea as `THREADS_POST_URL` / `THREADS_POST_ID` in the standalone script).
- **proxyConfiguration**: Used when the run escalates to the **RESIDENTIAL** tier.

Credential discovery uses the same fixed values as `main.py`: search query `Mark Zuckerberg`, `serp_type=default`, replies `sort_order` default `TOP` from `build_replies_graphql_variables_json(post_id)`, `feed_index=0` (no local `search_feed.json` in the actor).

### Proxy strategy

1. Try **no proxy**.
2. On failure, try **SHADER** (datacenter).
3. On failure, switch to **RESIDENTIAL** and **stay** on residential for the rest of the run.
4. Up to **3 retries** on residential (new session id per retry).

### Output

Dataset items: normalized post dicts (`post_url`, `user`, `text_post_app_info`, `caption`, etc.).

### Run locally

```bash
cd Threads-Search-Post-Scraper
apify run
```

# Actor input Schema

## `urls` (type: `array`):

Each line: a full post URL (threads.com or threads.net), a numeric post ID (10+ digits), or a search phrase. Phrases behave like the standalone script’s search query: the first thread from that search’s HTML is used to fetch replies. Example URL: https://www.threads.com/@zuck/post/AbCdEfGhIjK — example phrase: Mark Zuckerberg

## `maxItems` (type: `integer`):

Cap on how many rows to save across the whole run. Leave empty (or 0) for no limit.

## `proxyConfiguration` (type: `object`):

Leave off for a simple run. Turn on Apify Proxy here when you want Apify to route requests through its network — useful on busy or sensitive targets.

## Actor input object example

```json
{
  "urls": [
    "Mark Zuckerberg"
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "Mark Zuckerberg"
    ],
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("api-empire/threads-search-post-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": ["Mark Zuckerberg"],
    "maxItems": 10,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("api-empire/threads-search-post-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 '{
  "urls": [
    "Mark Zuckerberg"
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call api-empire/threads-search-post-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=api-empire/threads-search-post-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/UDq8ag8X0WLPEJhaE/builds/Ga5cq4bKtbpPgrZaP/openapi.json