Pricing

from $0.90 / 1,000 results

Facebook Marketplace [$0.9💰] Scraper

Scrape facebook.com Marketplace listings by keyword + location with price, condition, radius & detail enrichment. Incremental new-listing monitoring, MCP export, no login required.

Pricing

from $0.90 / 1,000 results

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0.0

(0)

Developer

Black Falcon Data

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Monthly active users

12 hours ago

Last modified

What does Facebook Marketplace Scraper do?

Facebook Marketplace Scraper extracts structured listing data from facebook.com — including price, condition, full descriptions, photos, exact coordinates, and location. It supports keyword and location search within a radius, plus price, condition, recency, and category filters, so you can run the same query consistently over time.

How to use this actor

👉 Register for a free Apify account — no credit card required.
🎉 Just click Sign up free on Apify → and complete a quick signup.
💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

📋 Full listing detail — enrich each listing with its full description, attributes (condition, type), category, post date, photos, and exact map coordinates. Toggle off for speed.
💵 Structured pricing — price, currency, and the original (strikethrough) price when an item is marked down — spot deals and track price changes.
🎯 Batch searches — pass a JSON array of keywords or locations to run many searches in one run — one dataset, deduplicated by listing id, a single Actor-Start charge.
🔗 Paste-mode — build the search you want in your browser (keyword, price, condition, recency), copy the URL, and paste it in. Each pasted URL runs as its own search with its own filters — mix several in one run; results merge and dedupe by listing id.
🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
♻️ Incremental mode — recurring runs return only NEW and UPDATED listings since last run — ideal for "newest listings" monitoring without re-paying for the whole feed.
📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from Facebook Marketplace?

Each result includes Core listing fields (listingId, title, priceText, priceValue, priceCurrency, strikethroughPriceText, condition, and attributes, and more) and detail fields when enrichment is enabled (description and detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

query — What to search for (e.g. "used bicycle", "iphone 15"). Paste a JSON array like ["bike","scooter"] to run several searches in one go. Leave empty only if you turn on "Browse without a query" below — otherwise an empty query is a no-op.
startUrls — Paste one or more Facebook Marketplace search URLs. Build the search you want in your browser (keyword, price, condition, recency), copy the URL from the address bar, and paste it here. Each URL runs as its own search with its filters, and results from multiple URLs are merged and deduplicated. Paste a search-results URL, not an individual listing URL. Takes precedence over Search keyword and the filters below. Tip: Facebook hides the city behind an internal location code in the URL — if a pasted URL has no readable city, also set the Location below so results are anchored correctly. The legacy field name searchUrls is also accepted. (default: [])
location — City or area to search around (e.g. "Seattle, WA", "Austin, Texas"). Required unless you provide coordinates below.
radiusKm — How far around the location to search, in kilometers. (default: 65)
latitude — Optional. Exact latitude to search around — overrides Location. Pair with Longitude.
longitude — Optional. Exact longitude to search around. Pair with Latitude.
minPrice — Only listings priced at or above this amount (in the marketplace's local currency).
maxPrice — Only listings priced at or below this amount.
conditions — Only listings in the selected condition(s). Leave empty for any condition. (default: [])
daysSinceListed — Only listings posted within the last N days. Leave empty for any time.
categoryId — Optional Facebook Marketplace category ID to restrict results.
strictQueryMatch — Drop listings whose title is missing your search terms. Facebook ranks loosely (a "4002019" search can return "4002017"), so this keeps results on-topic. Turn off to get Facebook's full fuzzy ranking, including loosely related items. (default: true)
...and 22 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "used bicycle",
  "location": "Seattle, WA",
  "radiusKm": 25,
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "used bicycle",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "used-bicycle-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "used bicycle",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "1716449899487434",
  "title": "Bicycle",
  "description": "Nice riding  geared bike good tires and seat ready to ride in burien",
  "priceText": "$20",
  "priceValue": 20,
  "priceCurrency": "USD",
  "condition": "Used - Good",
  "attributes": [
    "Condition: Used - Good"
  ],
  "category": "Bicycles",
  "categoryId": "1658310421102081",
  "locationText": "Seattle, Washington",
  "city": "Seattle",
  "state": "WA",
  "latitude": 47.590026855469,
  "longitude": -122.31628417969,
  "imageUrl": "https://scontent-atl3-3.xx.fbcdn.net/v/t39.84726-6/727559713_875778768328207_3397236749704177900_n.jpg?stp=c0.42.261.261a_dst-jpg_p261x260_tt6&_nc_cat=111&ccb=1-7&_nc_sid=92e707&_nc_ohc=MiaCnvh8bccQ7k...",
  "galleryUrls": [
    "https://scontent-atl3-3.xx.fbcdn.net/v/t39.84726-6/727559713_875778768328207_3397236749704177900_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=111&ccb=1-7&_nc_sid=92e707&_nc_ohc=MiaCnvh8bccQ7kNvwEMz_uf&_nc_o...",
    "https://scontent-atl3-1.xx.fbcdn.net/v/t45.5328-4/726405186_952313127862889_9210454913705857801_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=103&ccb=1-7&_nc_sid=247b10&_nc_ohc=5h3GHUL0Zc0Q7kNvwGN_1aD&_nc_oc...",
    "https://scontent-atl3-3.xx.fbcdn.net/v/t45.5328-4/727518638_1009013258519502_2102461878453193289_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=107&ccb=1-7&_nc_sid=247b10&_nc_ohc=00pJggRjgkkQ7kNvwFV25CO&_nc_o...",
    "https://scontent-atl3-3.xx.fbcdn.net/v/t45.5328-4/726420440_37421054290814947_558415698593534919_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=110&ccb=1-7&_nc_sid=247b10&_nc_ohc=OvnRXyGacCYQ7kNvwEAGUsn&_nc_o..."
  ],
  "deliveryTypes": [
    "IN_PERSON"
  ],
  "isLive": true,
  "isPending": false,
  "isSold": false,
  "publishedAt": "2026-06-13T16:08:58.000Z",
  "publishedAtEpoch": 1781366938,
  "url": "https://www.facebook.com/marketplace/item/1716449899487434/",
  "searchQuery": "bicycle",
  "resolvedLocation": "Seattle, King County, Washington, United States",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-06-20T13:45:30.269Z",
  "source": "facebook.com"
}

Incremental fields

When incremental mode is on, each record also carries:

changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true to opt into the others.

How to scrape Facebook Marketplace

Go to Facebook Marketplace Scraper in Apify Console.
Enter a search keyword and optional location filter.
Set maxResults to control how many results you need.
Enable includeDetails if you need full descriptions.
Click Start and wait for the run to finish.
Export the dataset as JSON, CSV, or Excel.

Use cases

Extract listing data from Facebook Marketplace for market research and competitive analysis.
Track pricing trends across regions and categories over time.
Monitor new and changed listings on scheduled runs without processing the full dataset every time.
Use structured location data for regional analysis, mapping, and geo-targeting.
Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape Facebook Marketplace?

Facebook Marketplace Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

Run start: $0.005 per run
Per result: $0.0009 per listing record

Example costs:

10 results: $0.014
25 results: $0.028
100 results: $0.095
200 results: $0.18
500 results: $0.46

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.18	$0.01	$0.17 (92%)	$0.42
15% — moderate broad query	$0.18	$0.03	$0.15 (83%)	$0.96
30% — high-volume aggregator	$0.18	$0.06	$0.13 (68%)	$1.77

Full re-scrape monthly cost at daily polling: $5.55. First month with incremental costs $0.59 / $1.11 / $1.90 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from Facebook Marketplace?

The number of results depends on the search query and available listings on Facebook Marketplace. Use the maxResults parameter to control how many results are returned per run.

Does Facebook Marketplace Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Facebook Marketplace Scraper with other apps?

Yes. Facebook Marketplace Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Facebook Marketplace Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Facebook Marketplace Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape Facebook Marketplace?

This actor extracts publicly available data from Facebook Marketplace. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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