Bulk check Facebook Marketplace item URLs, Item IDs, or Seller Profile URLs for real-time availability status (ACTIVE, SOLD, PENDING, REMOVED), price drops, full listing details, 5-star seller ratings, vehicle VINs, and rental specs.
{
"id": "1375661437981341",
"url": "https://www.facebook.com/marketplace/item/1375661437981341/",
"listing_status": "ACTIVE",
"is_sold": false,
"is_pending": false,
"price": "$3,650",
"numeric_price": 3650.0,
"strikethrough_price": "$3,900",
"currency": "USD",
"title": "3 Beds 2 Baths - House",
"seller_name": "Rosemary Yrazabal Newton",
"seller_id": "pfbid02fHmfVKi2eUKuJXquLbfyqdsSxEJaQxRUjDk2tdM1mbsNenjtTubssg4xXJzd14gil",
"seller_profile_url": "https://www.facebook.com/marketplace/profile/pfbid02fHmfVKi2eUKuJXquLbfyqdsSxEJaQxRUjDk2tdM1mbsNenjtTubssg4xXJzd14gil/",
"seller_rating": 5.0,
"seller_review_count": 1
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Returns normalized listing_status ("ACTIVE", "SOLD", "PENDING", "REMOVED"), is_sold, and is_pending flags for inventory synchronization and database cleanup.
Extracts current price, clean numeric_price, currency, and previous strikethrough_price.
Pass raw numeric Item IDs ("1375661437981341") or full item URLs to extract descriptions, condition, seller ratings, vehicle VIN/mileage, and property beds/baths/sqft.
Paste any /marketplace/profile/<seller_id>/ URL to list all active items sold by that user or dealership.
Run programmatically in 3 lines of Python or paste our ready-made workflow JSON directly onto your n8n canvas.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"start_urls": [
{
"url": "https://www.facebook.com/marketplace/profile/pfbid02fHmfVKi2eUKuJXquLbfyqdsSxEJaQxRUjDk2tdM1mbsNenjtTubssg4xXJzd14gil/"
}
],
"max_results": 50,
"concurrency": 5,
"proxy_configuration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
run = client.actor("unitbytes/facebook-marketplace-status-checker").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("title"), item.get("seller_name"), item.get("price"))Automate scheduled runs, normalize output fields, and pipe records directly into Google Sheets, Airtable, Slack, or OpenAI with zero code.
No. UnitBytes manages residential proxy rotation and automated request orchestration so you never need personal accounts or proxies.
All data can be downloaded in JSON, CSV, or Excel formats, or consumed directly via the Apify REST API and webhooks.
You only pay for successful records extracted under Apify Pay-Per-Event pricing, with zero monthly minimums or idle compute costs.
Yes. You can trigger runs via Apify API, Python/JavaScript clients, Make, Zapier, or scheduled cron workflows.
Read our complete technical architecture guide, pricing breakdown, and production Python examples.
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Need custom enterprise data integration, dedicated data pipelines, or high-volume warehouse exports? Tell us what data you need and we will deliver clean Excel / CSV / Google Sheets datasets, set up automated S3/BigQuery feeds, or build a custom pipeline for your team.
Send us your search keywords, categories, or URLs. We run the extraction and email you a clean, ready-to-use Excel/CSV file within 24 hours.
Hands-free daily, weekly, or real-time monitoring pushed directly to Google Sheets, Amazon S3, BigQuery, Snowflake, or Webhook.
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