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Dataset to Postgres, Supabase & MySQL (Database Push)

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Pushes any Apify dataset, file or Google Sheet by URL, or JSON array into a Postgres, Supabase, Neon or MySQL table: creates the table with typed columns, adds missing ones, inserts, upserts by key or replaces; dry run previews the SQL. Agent-ready: pay per event (x402, MCP), per row.

Pricing

from $1.40 / 1,000 row writtens

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0.0

(0)

Developer

Adam Pearce

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2 hours ago

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You can access the Dataset to Postgres, Supabase & MySQL (Database Push) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "data": [
10        {
11            "email": "ana@example.com",
12            "name": "Ana Silva",
13            "company": "Silva Ltd",
14            "plan": "Pro",
15            "mrr": 49,
16            "active": True,
17            "signedUpAt": "2026-08-01T09:30:00Z",
18            "address": {
19                "city": "Lisbon",
20                "country": "PT",
21            },
22            "tags": [
23                "b2b",
24                "eu",
25            ],
26        },
27        {
28            "email": "ben@example.com",
29            "name": "Ben Okafor",
30            "company": "Okafor & Co",
31            "plan": "Starter",
32            "mrr": 19,
33            "active": True,
34            "signedUpAt": "2026-08-14T15:05:00Z",
35            "address": {
36                "city": "Lagos",
37                "country": "NG",
38            },
39            "tags": ["b2b"],
40        },
41        {
42            "email": "cara@example.com",
43            "name": "Cara Lind",
44            "company": "Lind Studio",
45            "plan": "Free",
46            "mrr": 0,
47            "active": False,
48            "signedUpAt": "2026-09-02T11:00:00Z",
49            "address": {
50                "city": "Malmö",
51                "country": "SE",
52            },
53            "tags": [],
54        },
55    ],
56    "tableName": "apify_leads",
57    "writeMode": "upsert",
58    "keyFields": ["email"],
59    "dryRun": True,
60}
61
62# Run the Actor and wait for it to finish
63run = client.actor("nerolabs/dataset-to-database").call(run_input=run_input)
64
65# Fetch and print Actor results from the run's dataset (if there are any)
66print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
67for item in client.dataset(run.default_dataset_id).iterate_items():
68    print(item)
69
70# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset to Postgres, Supabase & MySQL: push data to SQL API in Python

The Apify API client for Python is the official library that allows you to use Dataset to Postgres, Supabase & MySQL (Database Push) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset to Postgres, Supabase & MySQL (Database Push) API in JavaScript

Dataset to Postgres, Supabase & MySQL (Database Push) API through CLI

Dataset to Postgres, Supabase & MySQL (Database Push) OpenAPI definition

Dataset to Postgres, Supabase & MySQL (Database Push) API

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