# X/Twitter Keyword Posts Urls Scraper (`sasky/x-twitter-keyword-posts-urls-scraper`) Actor

Scrapes X tweets URLs related to a given keyword

- **URL**: https://apify.com/sasky/x-twitter-keyword-posts-urls-scraper.md
- **Developed by:** [Abdulrahman](https://apify.com/sasky) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 55 total users, 5 monthly users, 89.6% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Twitter/X Keyword URLs Scraper

This Actor scrapes X posts URLs that are **related to specific keywords**.

<h4>Related</h4>
<a href="https://apify.com/sasky/x-twitter-hashtag-posts-urls-scraper">X (Twitter) Hashtag Posts URLs Scraper</a><br>

### Input

Provide a list of keywords in the following formats:

```json
{
  "keywords": ["online course", "programming", "php"]
}
```

```json
{
  "keywords": ["programming", "php"],
  "date": "last-3-months"
}
```

```json
{
  "keywords": ["programming", "php"],
  "date": "ignore",
  "from": "2024-01-01",
  "to": "2024-02-01"
}
```

```json
{
  "keywords": ["programming", "php"],
  "from": "2024-01-01",
  "to": "2024-02-01"
}
```

***

#### Optional filters

##### `date`

A predefined date range filter.
If provided and **not set to `ignore`**, this option **takes precedence over `from` and `to`**.

```json
{
  "date": "last-6-months"
}
```

**Allowed values:**

- `ignore`
- `last-1-day`
- `last-2-days`
- `last-3-days`
- `last-4-days`
- `last-5-days`
- `last-6-days`
- `last-1-week`
- `last-2-weeks`
- `last-3-weeks`
- `last-1-month`
- `last-2-months`
- `last-3-months`
- `last-4-months`
- `last-5-months`
- `last-6-months`
- `last-7-months`
- `last-8-months`
- `last-9-months`
- `last-10-months`
- `last-11-months`
- `last-1-year`
- `last-2-years`
- `last-3-years`
- `last-7-years`

> **Note:**
> Use `ignore` if you want to rely exclusively on the `from` / `to` date range instead.

***

##### `from`

Start date for filtering results.

```json
{
  "from": "2024-01-01"
}
```

- Must be a valid date string.
- Only effective when `date` is set to `ignore` or when the `date` property is not provided at all.

***

##### `to`

End date for filtering results.

```json
{
  "to": "2024-03-01"
}
```

- Must be a valid date string.
- Only effective when `date` is set to `ignore` or when the `date` property is not provided at all.

***

##### `limit`

Result limit

```json
{
  "limit": "100"
}
```

***

### Output

The Actor returns a dataset with the following fields:

| Field         | Description                                 |
| ------------- | ------------------------------------------- |
| `user_name`   | The username of the post author             |
| `user_link`   | Direct link to the user’s Twitter profile |
| `keyword`     | The queried keyword         |
| `post_url` | URL of the post on X        |

***

### Notes on Date Filtering Behavior

- If `date` ≠ `ignore`, it **overrides** `from` and `to`.
- If `date` = `ignore`, the Actor uses the `from` / `to` range.
- If no date filters are provided, the Actor defaults to returning results from the **last 6 months**.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords

## `date` (type: `string`):

only results related to a given date(takes precedence over From-To, unless 'Ignore this option' is selected)

## `from` (type: `string`):

From a specific date.

## `to` (type: `string`):

To a specific date.

## `limit` (type: `string`):

The number of results, 0 means unlimited

## Actor input object example

```json
{
  "keywords": [
    "programming"
  ],
  "date": "last-6-months",
  "limit": "0"
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `error` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "‎programming‎"
    ],
    "date": "last-6-months",
    "limit": "0"
};

// Run the Actor and wait for it to finish
const run = await client.actor("sasky/x-twitter-keyword-posts-urls-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 = {
    "keywords": ["‎programming‎"],
    "date": "last-6-months",
    "limit": "0",
}

# Run the Actor and wait for it to finish
run = client.actor("sasky/x-twitter-keyword-posts-urls-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 '{
  "keywords": [
    "‎programming‎"
  ],
  "date": "last-6-months",
  "limit": "0"
}' |
apify call sasky/x-twitter-keyword-posts-urls-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=sasky/x-twitter-keyword-posts-urls-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ce5TVjx7BpDDCJMzh/builds/t9j0KomT0PMhAdeKS/openapi.json