🏷️ Nextdoor Marketplace Scraper

🚀 Export Nextdoor For Sale & Free listings by city in seconds. One run on "San Antonio, TX" reached 1,353 neighborhood pages and 661,471 live listings without an account.

The Nextdoor Marketplace Scraper collects the public For Sale & Free listings that Nextdoor shows to visitors: the city page, every neighborhood page Nextdoor lists for that city, each listing's public detail record and the "nearby listings" rail on every listing. Give it a US city as "City, ST", a nextdoor.com city, neighborhood or listing URL, and it returns one clean row per listing. No login, no cookies, no browser.

Every row carries 24 fields: photo, title, URL, id, price (text and number), currency, free and sold flags, the full description, neighborhood, city, state, a combined location, when it was posted, when it expires, the category id, how many neighbors marked themselves interested, every photo, the seller avatar and which surface the listing came from.

🎯 Target Audience	💡 Primary Use Cases
Resellers and vintage shops	Spot free and underpriced furniture, tools and electronics by neighborhood the hour they are posted
Market and pricing analysts	Track asking prices and free-versus-paid ratios across neighborhoods and cities
Real estate and relocation teams	Read neighborhood activity (moving sales, bulk furniture disposals) as a turnover signal
Data journalists and researchers	Build hyperlocal secondhand-economy datasets across 51 US states

📋 What the Nextdoor Marketplace Scraper does

💡 Why it matters: Nextdoor's Marketplace feed sits behind a login, but its SEO pages do not. A city page lists six featured listings and links to every neighborhood in the city; each neighborhood page lists six more; each listing exposes a public detail record and twenty nearby listings. This Actor walks that graph for you.

1. Resolves each city ("Austin, TX") or URL you give it to Nextdoor's public city, neighborhood or listing page.
2. Reads the six listings on the city page, then the six on each of the city's neighborhood pages (858 in Austin, 1,353 in San Antonio), at four pages in parallel.
3. Fetches every listing's public detail record: all photos, expiry, category, interested count, seller neighborhood.
4. When you ask for more than the pages hold, keeps going through each listing's nearby rail (ten free and ten for-sale listings per hop) until Max Items is reached or the area runs dry.
5. Deduplicates on the listing id, filters to free or for-sale if you ask, and pushes one flat row per listing.

🎬 Full Demo (🚧 Coming soon)

📊 Output

Field	Description
🖼 imageUrl	First photo of the listing
📌 title	Listing title
🔗 url	Public listing URL on nextdoor.com
🆔 id	Listing id (UUID)
💵 priceText	Price as shown, e.g. $200 or Free
🔢 price	Price as a number (0 for free items)
💱 currency	ISO currency code, USD on the US site
🎁 isFree	Yes when the item is given away
✅ isSold	Yes when the seller marked it sold
📝 description	Full listing text
🏘 neighborhood	Seller's Nextdoor neighborhood
🏙 city	City
🗺 state	State code
📍 location	Neighborhood, City, ST in one column
🕓 postedAgo	Nextdoor's own age label, e.g. 3 hr ago or 2w+
⏳ expiresAt	ISO date when the listing expires (30 days after posting)
🏷 categoryId	Nextdoor category id of the listing
👀 interestedCount	Neighbors who tapped "I'm interested"
📷 photoCount	Number of photos
🖼 photos	Every photo URL
👤 sellerAvatarUrl	Seller avatar (Nextdoor shows visitors the default avatar for most sellers)
🧭 source	city-page, neighborhood-page, nearby or listing-url
🕒 scrapedAt	ISO timestamp of the row
❌ error	null on data rows; the message on error rows

Three real rows from a run on 2026-09-07:

[
  {
    "imageUrl": "https://us1-photo.nextdoor.com/post_photos/59/65/596525f1b218641d63bff9b4db60a3fb.jpeg",
    "title": "Assorted Garage Sale Items",
    "url": "https://nextdoor.com/for_sale_and_free/a07fa683-f98a-4bac-859f-2e4115927723/",
    "id": "a07fa683-f98a-4bac-859f-2e4115927723",
    "priceText": "Free",
    "price": 0,
    "currency": "USD",
    "isFree": "Yes",
    "isSold": "No",
    "description": "Includes storage drawers, garden tools, and more. Free pls don't message 3101 foster ln",
    "neighborhood": "Allandale North",
    "city": "Austin",
    "state": "TX",
    "location": "Allandale North, Austin, TX",
    "postedAgo": "3 hr ago",
    "expiresAt": "2026-10-07T16:59:20.779Z",
    "categoryId": "104619",
    "interestedCount": 0,
    "photoCount": 1,
    "photos": ["https://us1-photo.nextdoor.com/post_photos/59/65/596525f1b218641d63bff9b4db60a3fb.jpeg"],
    "sellerAvatarUrl": "https://d33c41ebahvfs6.cloudfront.net/static/nextdoorv2/images/avatars/avatar-default-200-e7a671944bf1702b59e5f69d0d97242d.png",
    "source": "city-page",
    "scrapedAt": "2026-09-07T20:27:30.493Z",
    "error": null
  },
  {
    "imageUrl": "https://us1-photo.nextdoor.com/post_photos/63/65/636592e086c35f3ca048c05684643df6.jpeg",
    "title": "Free - Black Dresser with Six Drawers w/ Nightstand",
    "url": "https://nextdoor.com/for_sale_and_free/afa81f38-5e0d-4ebb-bf4f-1d3497622567/",
    "id": "afa81f38-5e0d-4ebb-bf4f-1d3497622567",
    "priceText": "Free",
    "price": 0,
    "currency": "USD",
    "isFree": "Yes",
    "isSold": "No",
    "description": "Elegant black dresser with decorative patterns and silver handles.\n\nIn great shape, drawers work perfectly.\n\nFirst come first served!   On the curb.\n\n11125 Amesite Trl, ATX 78726",
    "neighborhood": "Canyon Creek",
    "city": "Austin",
    "state": "TX",
    "location": "Canyon Creek, Austin, TX",
    "postedAgo": "3 hr ago",
    "expiresAt": "2026-10-07T16:55:01.155Z",
    "categoryId": "77891",
    "interestedCount": 0,
    "photoCount": 3,
    "photos": [
      "https://us1-photo.nextdoor.com/post_photos/63/65/636592e086c35f3ca048c05684643df6.jpeg",
      "https://us1-photo.nextdoor.com/post_photos/a4/26/a42637b9805483e0d82f8e08fe78d360.jpeg",
      "https://us1-photo.nextdoor.com/post_photos/99/b2/99b20eeba9a92cd5a59ae6bf720c7a65.jpeg"
    ],
    "sellerAvatarUrl": "https://d33c41ebahvfs6.cloudfront.net/static/nextdoorv2/images/avatars/avatar-default-200-e7a671944bf1702b59e5f69d0d97242d.png",
    "source": "city-page",
    "scrapedAt": "2026-09-07T20:27:30.497Z",
    "error": null
  },
  {
    "imageUrl": "https://us1-photo.nextdoor.com/post_photos/b1/10/b110ac3c11aa8205ab0b9a62dd3fd500.jpeg",
    "title": "Baby Jogger Double Stroller",
    "url": "https://nextdoor.com/for_sale_and_free/7443c17f-9680-4a8b-bcab-649a18a551a7/",
    "id": "7443c17f-9680-4a8b-bcab-649a18a551a7",
    "priceText": "Free",
    "price": 0,
    "currency": "USD",
    "isFree": "Yes",
    "isSold": "No",
    "description": "Well Used Baby Jogger double stroller in good condition.  Works great.",
    "neighborhood": "Rosedale",
    "city": "Austin",
    "state": "TX",
    "location": "Rosedale, Austin, TX",
    "postedAgo": "1 hr ago",
    "expiresAt": "2026-10-07T18:32:00.296Z",
    "categoryId": "77887",
    "interestedCount": 0,
    "photoCount": 4,
    "photos": ["https://us1-photo.nextdoor.com/post_photos/b1/10/b110ac3c11aa8205ab0b9a62dd3fd500.jpeg", "..."],
    "sellerAvatarUrl": "https://d33c41ebahvfs6.cloudfront.net/static/nextdoorv2/images/avatars/avatar-default-200-e7a671944bf1702b59e5f69d0d97242d.png",
    "source": "nearby",
    "scrapedAt": "2026-09-07T20:41:12.108Z",
    "error": null
  }
]

✨ Why choose this Actor

• No login, ever. It reads only what Nextdoor serves to visitors and search engines, so nothing expires and no account is at risk.
• City to neighborhood depth. One city name fans out to every neighborhood page Nextdoor lists for it, plus the nearby rail on each listing.
• Full detail on every row. Every photo, the expiry date, the interested count and the seller's neighborhood come from the listing's public detail record, not from a card.
• Honest ceilings, stated up front. Six listings per city page, six per neighborhood page, twenty per nearby hop, and no seller names for visitors. The Actor reports the true total per page so you always know your coverage.
• Cheap to run. Plain HTTP with a real Chrome TLS fingerprint and a datacenter proxy. No 4 GB browser.

📈 How it compares to alternatives

	Nextdoor Marketplace Scraper	Nextdoor business scrapers on the Store	Build it in-house	By hand
Scope	For Sale & Free listings by city, neighborhood or URL	Business pages, recommendations, city facts. No listings	Whatever you build	Scrolling
Login	None	None	Your account at risk	Your account
Depth per run	City page + every neighborhood page + nearby rails, up to 1,000,000 rows	n/a	You solve the graph walk	Six per page
Fields	24 per listing, all photos, expiry, interest count	n/a	Yours to maintain	Copy-paste
Seller identity	Not public on Nextdoor for visitors (stated, not hidden)	n/a	Same limit	Same limit
Region	United States (Nextdoor serves other countries on separate domains)	US, UK, CA	Same	Same
When Nextdoor changes	Maintained for you	Varies	You fix it	You re-learn the page
Cost	Pay per result	Pay per result	Engineering time	Analyst hours

🚀 How to use

1. Create a free Apify account with $5 in credit.
2. Open the Nextdoor Marketplace Scraper.
3. Type one or more cities as "City, ST" (for example Austin, TX), or paste nextdoor.com city, neighborhood or listing URLs.
4. Set Max Items, pick All listings, Free items only or For sale only, and click Start.
5. Export the dataset as CSV, Excel, JSON or XML from the Dataset tab, or read it from the API.

A run that pulls 200 for-sale listings across San Antonio:

{
  "locations": ["San Antonio, TX"],
  "maxItems": 200,
  "listingType": "for-sale",
  "includeDetails": true,
  "expandNearby": true,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" }
}

Keep the Apify proxy on with the US country. Nextdoor answers only from US networks (its DNS and CDN refuse other countries), and a datacenter proxy is enough.

💼 Business use cases

🛋️ Source inventory for resale

A vintage furniture seller runs the Actor every morning on three cities with Free items only, sorts by postedAgo, and drives to the listings with the highest interestedCount first.

📈 Price secondhand goods by neighborhood

A pricing analyst pulls 5,000 for-sale rows a week, groups price by neighborhood and categoryId, and feeds median asking prices into a resale pricing model.

🏠 Read neighborhood turnover

A real estate team watches for "moving", "everything must go" and bulk furniture listings in description and maps them by location to find blocks where owners are about to sell.

🧹 Route junk removal and donation pickups

A hauling company filters free bulky items (isFree = Yes, furniture categories) by expiresAt and schedules pickups in neighborhoods with clusters of listings.

🔌 Automating Nextdoor Marketplace Scraper

• Make / Zapier: trigger a run on a schedule, then send new rows to Google Sheets, Slack or a CRM.
• Slack: post the rows with isFree = Yes and postedAgo under two hours to a sourcing channel.
• Airbyte: load every run's dataset into your warehouse and track prices over time.
• GitHub Actions: call the Actor from a workflow and commit the CSV to a data repo.
• Google Drive: export each run to a dated CSV with the Apify Google Drive integration.

🌟 Beyond business use cases

• Research: measure the free-versus-paid share of the secondhand economy across US cities.
• Personal: watch your own neighborhood for a free couch, a bike or garden tools.
• Non-profit: find donated furniture and appliances for families you serve, sorted by expiry.
• Experimentation: train a classifier on title and description to predict categoryId.

🤖 Ask an AI assistant about this scraper

Give an AI agent live access to Nextdoor listings through the Model Context Protocol:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/nextdoor-marketplace-scraper"

Then ask in plain language, for example "find free desks posted today in Austin, TX and list them with their neighborhoods".

❓ Frequently Asked Questions

🔐 Do I need a Nextdoor account?

No. The Actor reads the pages Nextdoor serves to visitors and search engines. No login, cookies or API key.

🧭 Which locations can I scrape?

Any US city Nextdoor has a page for, written as "City, ST" (multi-word cities work: "San Antonio, TX"). You can also paste a nextdoor.com city, neighborhood or listing URL. Nextdoor runs other countries on separate domains, which this Actor does not cover.

📏 How many listings can one run return?

Up to 1,000,000 rows. Each city page yields six listings, each neighborhood page six more (Austin lists 858 neighborhoods, San Antonio 1,353), and each listing's nearby rail adds up to twenty. The Actor stops at Max Items or when the area is exhausted.

👤 Why is there no seller name?

Nextdoor shows visitors only the seller's neighborhood and a default avatar. Names and profiles are reserved for logged-in neighbors, so the Actor does not emit a column it cannot fill.

🔎 Can I search by keyword or category?

Not on the public pages: Nextdoor's search and category filters need a login. Scrape a city, then filter title, description and categoryId in your sheet or pipeline.

🎁 Can I get only free items or only items for sale?

Yes. Set Listing type to Free items only or For sale only. The filter is applied before rows are counted against Max Items.

🕓 Is postedAgo an exact date?

It is Nextdoor's own label ("3 hr ago", "yesterday", "2w+"). expiresAt is exact: listings run for 30 days, so posting time is expiresAt minus 30 days.

📷 Do I get every photo?

Yes, when Full listing details is on (the default). Card-only mode returns the cover photo only, in exchange for one fewer request per listing.

🛡️ Do I need a proxy?

Yes, the Apify proxy with the US country, which is the default. Nextdoor refuses connections from outside the United States at the DNS and CDN level. Datacenter proxies are sufficient.

⚠️ What do error rows look like?

A row with url and error only, for example an unsupported location or a listing that is no longer public. They are never charged.

🔁 Are rows ever duplicated?

No. Listings are deduplicated on their id across city pages, neighborhood pages and nearby rails within a run.

⏱️ How fast is it?

Around 60 fully detailed listings in under 15 seconds on a 512 MB run.

🔌 Integrate with any app

Run it from the Apify API, the JavaScript and Python Apify clients, webhooks, schedules, or the integrations for Make, Zapier, Slack, Airbyte, GitHub and Google Drive.

🔗 Recommended Actors

• Facebook Marketplace Scraper for the same kind of local listings on Facebook.
• Craigslist Scraper for classifieds across Craigslist cities.
• Skool Community Scraper for community discovery data with the same output style.

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Nextdoor, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with Nextdoor's terms of service and applicable data-protection laws.