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G2
4.7/5
Excellent
Trustpilot

Turn Facebook Marketplace
into structured data

Scrape Facebook Marketplace listings by keyword and location, or from search, category, and listing URLs: prices, photos, sellers, descriptions, and vehicle details.

01-Integration

Integrate Facebook Marketplace API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting Facebook Marketplace data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('shelfbright/facebook-marketplace-scraper').call(
run_input={
'searchQueries': ['bike'],
'location': 'New York, NY',
'maxItems': 20,
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a keyword and a location, get structured listings

Pass keywords, locations, and Marketplace URLs into Scrape.ly. Get structured outputs with titles and prices, locations, photos, seller names, and descriptions and condition, and more.

Input
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{
 "searchQueries": [
  "bike"
 ],
 "location": "New York, NY",
 "maxItems": 20
}
Output
1 2 3 4 5 6 7 8 9 10 11 12
{
 "id": "1092837465012345",
 "title": "Trek FX 2 Hybrid Bike, Medium",
 "price": 380,
 "priceFormatted": "$380",
 "currency": "USD",
 "locationText": "Brooklyn, NY",
 "sellerName": "Daniel R.",
 "condition": "Used - Like New",
 "createdAt": "2026-10-18T09:15:00.000Z",
 "url": "https://www.facebook.com/marketplace/item/1092837465012345"
}
03-How it works

Start extracting Facebook Marketplace data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live Facebook Marketplace data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect Facebook Marketplace API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch Facebook Marketplace data

Send your keywords, locations, and Marketplace URLs, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedFacebook Marketplacedata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn Facebook Marketplace data into action.

06-Explore APIs

More Facebook Marketplace APIs on Scrape.ly

Browse ready-made Facebook Marketplace scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about Facebook Marketplace API

Quick answers about using Scrape.ly's Facebook Marketplace API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's Facebook Marketplace API collects the public data shown on Facebook Marketplace and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.