# MySQL Insert (`petr_cermak/mysql-insert`) Actor

This act takes a crawler execution and inserts it's results into a remote MySQL database.

- **URL**: https://apify.com/petr\_cermak/mysql-insert.md
- **Developed by:** [Petr Cermak](https://apify.com/petr_cermak) (community)
- **Categories:** Developer tools, Integrations, Open source
- **Stats:** 44 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## mysql-insert

Apify actor for inserting crawler results into a remote MySQL table.

This actor fetches all results from a specified dataset (or as raw data) and inserts them into
a table in a remote MySQL database.

### Input

Input is a JSON object with the following properties:

```jsonc
{
    "datasetId": "your_dataset_id",
    "connection": {
        "host"      : "host_name",
        "user"      : "user_name",
        "password"  : "user_password",
        "database"  : "database_name", // optional
        "port"      : 3306 // optional
    },
    "table": "table_name",
    // Optionally, you can add raw data instead of datasetId
    "rows": [
        {"column_1": "value_1", "column_2": "value_2"},
        {"column_1": "value_3", "column_2": "value_4"}
    ]
}
```

### Webhooks

Very often you want to run an image `mysql-insert` update after every run of your scraping/automation actor. [Webhooks](https://apify.com/docs/webhooks) are solution for this. The default `datasetId` will be passed automatically to the this actor's run so you don't need to set it up in the payload template (internally the actor transforms the `resource.defaultDatasetId` from the webhook into just `datasetId` for its own input).

I strongly recommend to **create a task** from this actor with predefined input that will not change in every run - the only changing part is usually `datasetId`. You will not need to fill up the payload template and your webhook URL will then look like:
`https://api.apify.com/v2/actor-tasks/<YOUR-TASK-ID>/runs?token=<YOUR_API_TOKEN>`

# Actor input Schema

## `connection` (type: `object`):

Provide the remote MYSQL connection as an object as state in the documentation

## `table` (type: `string`):

Target table

## `proxyConfig` (type: `object`):

Optionally route the connection through the StaticUS3 group

## `rows` (type: `array`):

Optionally provide the rows to insert

## `datasetId` (type: `string`):

When not using webhooks, provide the dataset id here

## `staticParam` (type: `object`):

You can provide the shape of values that should be appended at the end of your INSERT statements

## `existsAttr` (type: `string`):

Check for the given property existence. It will issue a SELECT query before trying to insert

## `rowSplit` (type: `integer`):

How many rows to batch. High values might timeout the query

## `debugLog` (type: `boolean`):

Enable dumping the contents to the log

## Actor input object example

```json
{
  "connection": {},
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "qfCaFFuCodXxAS59E"
    ]
  },
  "rows": [],
  "staticParam": {},
  "rowSplit": 10,
  "debugLog": 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 = {
    "connection": {},
    "proxyConfig": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "qfCaFFuCodXxAS59E"
        ]
    },
    "rows": [],
    "staticParam": {}
};

// Run the Actor and wait for it to finish
const run = await client.actor("petr_cermak/mysql-insert").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 = {
    "connection": {},
    "proxyConfig": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["qfCaFFuCodXxAS59E"],
    },
    "rows": [],
    "staticParam": {},
}

# Run the Actor and wait for it to finish
run = client.actor("petr_cermak/mysql-insert").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 '{
  "connection": {},
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "qfCaFFuCodXxAS59E"
    ]
  },
  "rows": [],
  "staticParam": {}
}' |
apify call petr_cermak/mysql-insert --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,petr_cermak/mysql-insert"
        }
    }
}

```

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/K5TiCBhdnbH9F3F2M/builds/NauPXVCdUfquwDRYj/openapi.json