# Twitter (X) Search Scraper - Tweets by Keyword & Query (`dami_studio/twitter-search-scraper`) Actor

Scrape X (Twitter) search by keyword or advanced query (from:, min\_faves:, filter:media, date ranges). Returns full text, engagement, author & media. Export JSON/CSV/Excel or Notion. $0.30/1k tweets - cheaper than the big providers, and failed runs are free.

- **URL**: https://apify.com/dami\_studio/twitter-search-scraper.md
- **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 25 total users, 16 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 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) Search Scraper - Tweets by Keyword

⚡ Scrape X (Twitter) SEARCH results by keyword/query (supports from:, min\_faves:, filter:media, date operators). Uses your logged-in account cookies (rotated across a pool, like the paid services) — X search has no keyless path. Returns full text, engagement, author, media. Export JSON/CSV/Excel or deliver to Notion. Pay per tweet.

### ⚠️ Requires a logged-in account cookie for real data

X gates search and lists behind a login — every provider (including the big paid ones) scrapes these with **pools of logged-in accounts**. This actor does the same with **your** account cookies, rotating across them and backing off on rate-limits.

> **Run it with no cookies first?** Without `sessionCookies` the actor runs in a free **demo mode** and returns one clearly-labeled `_sample` tweet so you can preview the output shape. Add cookies for real search results.

**How to get the cookie (1 minute):**

1. Log in to **x.com** in your browser (use a throwaway account you don't mind risking).
2. Press **F12** → **Application** tab → **Cookies** → `https://x.com`.
3. Copy the values of **`auth_token`** and **`ct0`**.
4. Paste into `sessionCookies` as: `auth_token=XXXX; ct0=YYYY` — add several accounts (one per line) for more throughput; the actor rotates them.

> Throwaway accounts get rate-limited/flagged over time — add a few and top them up occasionally (same as the paid services do).

### Pricing

**$0.30 per 1,000 tweets** (pay-per-result). Failed/empty runs cost nothing.

# Actor input Schema

## `searchTerms` (type: `array`):

X search queries (advanced operators supported).

## `sort` (type: `string`):

Newest or most relevant.

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

Charged per tweet.

## `since` (type: `string`):

YYYY-MM-DD

## `until` (type: `string`):

YYYY-MM-DD

## `onlyVerifiedUsers` (type: `boolean`):

Keep only verified authors.

## `sessionCookies` (type: `array`):

X requires a logged-in session for search/lists — this is how every paid service does it. WITHOUT cookies the actor returns one clearly-labeled SAMPLE tweet (free demo mode) so you can preview the output shape. For real results add one or more throwaway-account cookies; the actor rotates them on rate-limit. From a logged-in x.com: F12 → Application → Cookies → copy auth\_token and ct0. Paste each account as 'auth\_token=XXXX; ct0=YYYY' (one per line).

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

Residential proxy strongly recommended (paid services use residential to protect the accounts).

## `notionConnector` (type: `string`):

Optional Notion delivery.

## `notionParentId` (type: `string`):

Optional Notion data-source id.

## Actor input object example

```json
{
  "searchTerms": [
    "\"web scraping\" min_faves:50",
    "from:nasa"
  ],
  "sort": "Latest",
  "maxItems": 100,
  "since": "2024-01-01",
  "until": "2024-12-31",
  "onlyVerifiedUsers": false,
  "sessionCookies": [
    "auth_token=abcd1234...; ct0=ef567890..."
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Tweets in the default dataset.

# 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 = {
    "searchTerms": [
        "apify"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dami_studio/twitter-search-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 = { "searchTerms": ["apify"] }

# Run the Actor and wait for it to finish
run = client.actor("dami_studio/twitter-search-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 '{
  "searchTerms": [
    "apify"
  ]
}' |
apify call dami_studio/twitter-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/L2zqKAajeIF8uk7ej/builds/kbqGaQclHgahp9kk5/openapi.json