FDA Food Recalls Scraper
Pricing
from $0.01 / 1,000 recall record saveds
FDA Food Recalls Scraper
๐ฅซ Monitor and export FDA/OpenFDA food recall records by product, firm, risk class, status, geography, and dates.
FDA Food Recalls Scraper
Pricing
from $0.01 / 1,000 recall record saveds
๐ฅซ Monitor and export FDA/OpenFDA food recall records by product, firm, risk class, status, geography, and dates.
You can access the FDA Food Recalls 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, youโll need an Apify account and your API token, found in Integrations settings 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 "query": "",10 "productKeywords": ["allergen"],11 "recallingFirm": "",12 "classifications": [13 "Class I",14 "Class II",15 ],16 "statuses": ["Ongoing"],17 "states": [],18 "countries": [],19 "reportDateFrom": "2024-01-01",20 "reportDateTo": "",21 "initiationDateFrom": "",22 "initiationDateTo": "",23 "maxItems": 20,24 "sortBy": "report_date",25 "sortDirection": "desc",26}27
28# Run the Actor and wait for it to finish29run = client.actor("automation-lab/fda-food-recalls-scraper").call(run_input=run_input)30
31# Fetch and print Actor results from the run's dataset (if there are any)32print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])33for item in client.dataset(run["defaultDatasetId"]).iterate_items():34 print(item)35
36# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use FDA Food Recalls Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: