Dataset Filter & Transform: Filter, Pick, Rename, Flatten
Pricing
from $0.55 / 1,000 output rows
Clean any Apify dataset without code: filter rows (equals, contains, regex, greater than, empty…), keep or drop columns, rename fields, flatten nested JSON, split list fields into rows, add tags. Chain it between a scraper and Google Sheets, CSV export or alerts.
You can access the Dataset Filter & Transform: Filter, Pick, Rename, Flatten 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "items": [10 {11 "name": "Blue Door Cafe",12 "website": "https://bluedoor.example",13 "rating": 4.6,14 "emails": ["hello@bluedoor.example"],15 "address": { "city": "Oslo" },16 },17 {18 "name": "Corner Bar",19 "website": "",20 "rating": 4.2,21 "emails": [],22 "address": { "city": "Bergen" },23 },24 {25 "name": "Harbor Hotel",26 "website": "https://harbor.example",27 "rating": 3.8,28 "emails": ["info@harbor.example"],29 "address": { "city": "Bergen" },30 },31 {32 "name": "Fjord Bakery",33 "website": "https://fjordbakery.example",34 "rating": "4.9",35 "emails": ["post@fjordbakery.example"],36 "address": { "city": "Oslo" },37 },38 ],39 "filters": [40 {41 "field": "website",42 "op": "isNotEmpty",43 },44 {45 "field": "rating",46 "op": "greaterOrEqual",47 "value": 4,48 },49 ],50}51
52# Run the Actor and wait for it to finish53run = client.actor("charlesmarkette/dataset-filter-transform-rename-flatten-fields").call(run_input=run_input)54
55# Fetch and print Actor results from the run's dataset (if there are any)56print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")57for item in client.dataset(run.default_dataset_id).iterate_items():58 print(item)59
60# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Dataset Filter & Transform: Filter, Pick, Rename, Flatten API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: