CSV Data Row Scraper
Pricing
from $0.25 / 1,000 csv rows
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CSV Data Row Scraper
Parse bounded public CSV responses with quoted commas, escaped quotes and multiline fields.
CSV Data Row Scraper
Pricing
from $0.25 / 1,000 csv rows
Parse bounded public CSV responses with quoted commas, escaped quotes and multiline fields.
You can access the CSV Data Row Scraper 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 "startUrls": ["https://api.apify.com/v2/key-value-stores/oa2wsF7nVnW6shckK/records/demo-b090c8410e3d8087638b"],10 "maxPages": 1,11 "maxResults": 2,12 "respectRobotsTxt": True,13 "concurrency": 1,14 "timeoutSecs": 20,15 "retries": 0,16}17
18# Run the Actor and wait for it to finish19run = client.actor("dabooti/csv-data-row-scraper").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 CSV Data Row Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: