How do I connect Make to Scrapernode?

Use Make's webhook trigger to receive data from Scrapernode. Copy the webhook URL from Make and paste it into Scrapernode's webhook settings for the scraper. Each completed job sends results automatically.

What Facebook marketplace data fields are sent to Make?

All 19 output fields from the Facebook Marketplace scraper are included: url, title, initial_price, final_price, currency, product_id, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring Facebook scrapes to Make?

Yes. Use Make's scheduling features to trigger Scrapernode scrapes on a recurring basis via the REST API. You can also set up Make to process results as they arrive via webhooks.

How much does it cost to scrape Facebook marketplace into Make?

Each marketplace record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). The Make integration itself is included free — no additional charges for data delivery.

What happens if the Make delivery fails?

Your scraped data is always stored in Scrapernode regardless of the integration status. If delivery to Make fails, you can re-trigger the sync or download results manually as CSV or JSON from the job details page.

FacebookMake

How to Scrape Facebook Marketplace into Make

Extract marketplace data from Facebook and pipe into Make automatically

Step-by-step guide

Choose the Facebook Marketplace scraper

Navigate to the Facebook Marketplace scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Set up your Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

Provide your Facebook input URLs

Paste the Facebook URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 19 fields like url, title, initial_price, final_price. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

19 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

Title

How We Scaled to 1M Users

Initial Price

1,000

Final Price

1,000

Currency

sample_currency

Product Id

sample_product_id

Breadcrumbs

sample_breadcrumbs

Condition

sample_condition

Description

Enterprise-grade data pipeline platform with real-time processing and 99.99% uptime SLA.

Location

San Francisco, CA

Country Code

Root Category

sample_root_category

Images

sample_images

Seller Description

sample_seller_description

Color

sample_color

Brand

sample_brand

Videos

sample_videos

Profile Id

sample_profile_id

Listing Date

sample_listing_date

Data Dictionary

19 fields returned per record

URL of the marketplace listing (100.00% fill rate)

Title of the listing (58.00% fill rate)

Original asking price (58.00% fill rate)

Final price of the listing (58.00% fill rate)

Currency of the price (58.00% fill rate)

Unique identifier for the listing (58.00% fill rate)

Category breadcrumbs for the listing (9.00% fill rate)

Sub-fields

breadcrumbs_nameTextCategory name

breadcrumbs_urlTextCategory URL

Condition of the item (new, used, etc.) (55.00% fill rate)

Seller's description of the listing (55.00% fill rate)

Location of the listing (57.00% fill rate)

Country code of the listing location (100.00% fill rate)

Root category of the listing (10.00% fill rate)

Listing images (57.00% fill rate)

Description from the seller's profile (55.00% fill rate)

Color of the item (32.00% fill rate)

Brand of the item (1.00% fill rate)

Listing videos (0.00% fill rate)

Seller's profile ID (53.00% fill rate)

Date the listing was posted (49.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Facebook Marketplace into Make

Ready to connect Facebook data to Make?

Start extracting facebook marketplace data and pipe into Make in minutes.

Go to Facebook Marketplace scraper Browse all integration guides

No code requiredAuto-delivery to Make19 data fields