# Social Post Detail Report (`grasstech/social-post-detail-report`) Actor

Retrieve social post detail report as JSON using id. One request per run; suitable for focused data queries and reporting.

- **URL**: https://apify.com/grasstech/social-post-detail-report.md
- **Developed by:** [Grass Tech](https://apify.com/grasstech) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.05 / social post detail report

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/actors/running/actors-in-store.md#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

## Social Post Detail Report

Retrieve social post detail report as JSON using id. One request per run; suitable for focused data queries and reporting.

### What this Actor does

Research public profiles and social content, then organize the returned records for analysis. This is a single-request data query, not a continuous monitoring service.

### Input

| Field | Type | Required | How to use it |
|---|---|---|---|
| `id` | string | Yes | Supply the id as string; keep the field name exactly as shown. |

#### Example input

```json
{
  "id": "2041890491919430083"
}
```

This illustrates the field format; data availability depends on the chosen parameters and time.

### Output and limits

A JSON object. Optional data may be absent. The Output tab links to the result saved for that run. Empty data is not a guarantee that a resource does not exist; check the query and returned status.

### Pricing

Social Post Detail Report: $0.05 per event. The event price shown by Apify is authoritative. A chargeable request is not a promise of a particular record count or outcome. Set a maximum run charge that covers the listed event and any platform usage shown at checkout. No recurring subscription is implied.

### How to run

1. Review the field types and supply the required input.
2. Check the current price and maximum run charge.
3. Start one run, wait for its final status, and open the Output tab.
4. Check the response fields and timestamps before using the data.

### Troubleshooting

If a run fails, retain its Run ID and review its status and log. Verify the input, supported asset/network and requested time range before starting another charged run. Missing records and optional fields depend on data availability.

### Scope and support

This Actor returns a data snapshot; it does not execute trades, move funds, or guarantee future availability. Market data is informational, not a recommendation to invest. For an issue, use the Actor Issues tab and include the Run ID and sanitized input; omit credentials and private keys.

# Actor input Schema

## `id` (type: `string`):

Request parameter: id

## Actor input object example

```json
{
  "id": "2041890491919430083"
}
```

# Actor output Schema

## `result` (type: `string`):

The complete response for this data query.

# 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 = {
    "id": "2041890491919430083"
};

// Run the Actor and wait for it to finish
const run = await client.actor("grasstech/social-post-detail-report").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 = { "id": "2041890491919430083" }

# Run the Actor and wait for it to finish
run = client.actor("grasstech/social-post-detail-report").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "id": "2041890491919430083"
}' |
apify call grasstech/social-post-detail-report --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grasstech/social-post-detail-report"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wvcTjluISX5bbHfBF/builds/8mmNKE8AFcDZQtGx3/openapi.json