HTML Web Table to Structured JSON & CSV Converter
Pricing
from $1.30 / 1,000 extracted web tables
Scrapes and normalizes tabular data from any web page or HTML table into clean JSON objects and downloadable CSV. Ideal for financial reports, sports stats, and data feeds.
You can access the HTML Web Table to Structured JSON & CSV Converter 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 "url": "https://en.wikipedia.org/wiki/List_of_continents_and_continental_subregions_by_population",10 "tableIndex": 0,11 "formatAsCsv": True,12 "includeKeywords": "",13 "excludeKeywords": "",14 "enableRagEnrichment": True,15 "outputFormat": "JSON",16}17
18# Run the Actor and wait for it to finish19run = client.actor("trusted_tech_spot/table-data-extractor").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")23for item in client.dataset(run.default_dataset_id).iterate_items():24 print(item)25
26# 📚 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 HTML Web Table to Structured JSON & CSV Converter API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: