Pricing

from $1.35 / 1,000 listing records

Craigslist Scraper – Listings, Prices & Seller Contacts

Scrape Craigslist listings from any city and category. Returns title, price, images, location, post_id, URL, and optionally description, posted date, and structured attributes. No proxy required. Parses server-side JSON-LD — stable against layout changes.

Pricing

from $1.35 / 1,000 listing records

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Vitalii Bondarev

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Craigslist Scraper — Listings, Prices & Locations

Scrape Craigslist listings from any US city, category, and search query. Get title, price, images, location, post ID, and listing URL — plus optional description, posted datetime, and structured attributes (car specs, condition, odometer, etc.) from detail pages. This Craigslist scraper targets the JSON-LD ItemList block embedded by Craigslist itself — structural schema.org data, not CSS class names — making it immune to layout redesigns. No proxy required. Pay per result at $1.39 per 1,000 listings.

Not affiliated with or endorsed by Craigslist.

What you get

Field	Source	Notes
`post_id`	DOM link	10-digit Craigslist post ID
`title`	JSON-LD	Listing title
`price`	JSON-LD	Numeric float; `null` for free/contact items
`price_currency`	JSON-LD	`"USD"`
`city`	JSON-LD	City name (e.g. `"San Francisco"`)
`state`	JSON-LD	State abbreviation (e.g. `"CA"`)
`neighborhood`	Detail page	Sub-city neighborhood; `null` if not set
`latitude` / `longitude`	JSON-LD + detail	Precise coords from detail page when `fetchDetails=true`
`url`	DOM link	Full listing URL
`category`	URL	Category abbreviation (e.g. `"bik"`, `"cto"`)
`area_abbrev`	URL	Metro sub-area (e.g. `"sby"`, `"sfc"`)
`posted_datetime`	Detail page	ISO-8601 UTC; requires `fetchDetails=true`
`image_urls`	JSON-LD	Array of full-size CDN image URLs
`description`	Detail page	Plain-text body; requires `fetchDetails=true`
`attributes`	Detail page	Dict of label→value (condition, make, cylinders, etc.)
`parse_confidence`	Computed	0.0–1.0 data quality score
`warnings`	Computed	List of parse-issue codes
`scraped_at`	Computed	ISO-8601 UTC timestamp

Common city slugs

City	Slug
San Francisco Bay Area	`sfbay`
New York	`newyork`
Los Angeles	`losangeles`
Chicago	`chicago`
Seattle	`seattle`
Austin	`austin`
Boston	`boston`
Denver	`denver`

Full list: https://www.craigslist.org/about/sites

Common category codes

Category	Code
For sale — all	`sss`
Bicycles	`bik`
Cars & trucks by owner	`cto`
Electronics	`ele`
Furniture	`fua`
Apartments	`apa`
Jobs	`jjj`
Clothing	`clt`

Full list: https://www.craigslist.org/about/help/abbreviations

Example input

{
  "city": "sfbay",
  "query": "honda civic",
  "category": "cto",
  "maxResults": 50,
  "fetchDetails": true
}

Example output record

{
  "post_id": "7938685561",
  "title": "2018 Honda Civic EX",
  "price": 18500.0,
  "price_currency": "USD",
  "city": "San Jose",
  "state": "CA",
  "neighborhood": "South Bay",
  "latitude": 37.3403,
  "longitude": -121.9701,
  "url": "https://sfbay.craigslist.org/sby/cto/d/san-jose-2018-honda-civic-ex/7938685561.html",
  "category": "cto",
  "area_abbrev": "sby",
  "posted_datetime": "2026-06-04T10:51:23+00:00",
  "image_urls": ["https://images.craigslist.org/00h0h_ABC_600x450.jpg"],
  "description": "Clean title, low miles, well maintained...",
  "attributes": {
    "condition": "excellent",
    "cylinders": "4 cylinders",
    "drive": "fwd",
    "fuel": "gas",
    "odometer": "45,000",
    "title status": "clean",
    "transmission": "automatic"
  },
  "parse_confidence": 1.0,
  "warnings": [],
  "scraped_at": "2026-06-04T12:00:00+00:00"
}

How it works

One HTTP request fetches the Craigslist search page for your city/category/query.
JSON-LD parsing (structural, not CSS): Craigslist embeds all results as a schema.org ItemList in the page <head>. Up to ~350 results per query.
DOM link extraction: listing URLs (with post_id, category, area_abbrev) are extracted from <a> tags in the body and matched to JSON-LD items by title slug.
Detail page (optional): each listing's page is fetched for posted_datetime, description, and structured attributes.

Pricing

Pay-per-result: $0.00139 per listing ($1.39 / 1,000 listings).

With fetchDetails=false (default): ~1 request/run → very fast, very cheap.
With fetchDetails=true: 1 + N requests (one per listing) → richer data, proportionally more compute.

Use cases for Craigslist data

Price research — benchmark used car, electronics, or furniture prices across cities
Real estate leads — monitor for-rent and for-sale listings in target neighborhoods
Resale arbitrage — find underpriced items listed by private sellers
Job market intelligence — pull job listings from the jjj category across metros
Academic research — analyze classifieds data for economics or sociology studies
Competitor monitoring — track similar items listed by other sellers in your category

Frequently asked questions

Do I need a proxy? No. Craigslist search pages are server-side rendered and respond 200 from datacenter IPs. No proxy configuration is needed.

How many results per search? Craigslist includes all matching results in one JSON-LD block — typically up to ~350 items per query. For more coverage, run multiple narrowed queries.

How do I get descriptions and car specs? Set fetchDetails: true. This fetches each listing's detail page to extract description, posted_datetime, neighborhood, precise latitude/longitude, and structured attributes (condition, make, cylinders, etc.). This multiplies request count by N listings.

What is fetchDetails=false good for? Fast, cheap bulk listing collection — title, price, images, location, and URL from a single search-page request. Good for price monitoring and deduplication.

What does parse_confidence mean? 0.0–1.0 data quality score. 1.0 = all critical fields extracted. Below 0.7 = Craigslist may have changed its JSON-LD structure; check warnings for affected fields.

Can I scrape multiple cities? Yes — run the actor multiple times with different city slugs, or use Apify's batch run API to fan out across cities in parallel.

Limitations

Results per search: up to ~350 (Craigslist's JSON-LD includes all results in one page).
posted_datetime, description, attributes require fetchDetails=true.
neighborhood is only available on listings where the poster set it.
Craigslist does not expose full posted_datetime on search pages.

Integrations

Built for market researchers and resellers tracking US local listings, pricing trends, and inventory by city and category — the JSON/dataset output drops into the tools you already run, no glue code:

n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.

Use it from your existing tools

Use with Claude Desktop / Cursor / Cline (MCP)

Load this actor as a tool in your AI assistant. Call it directly from your AI assistant via the Apify MCP server — no Store browsing needed. Paste this into your MCP client config (e.g. claude_desktop_config.json) and restart the client:

{
  "mcpServers": {
    "apify-craigslist-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "bovi/craigslist-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

Replace YOUR_APIFY_TOKEN with your own Apify API token (free at apify.com → Settings → Integrations). Curated to a handful of tools so the agent selects reliably.

Works with Clay

Run this actor as an HTTP enrichment step inside a Clay table:

Method: POST
URL: https://api.apify.com/v2/acts/bovi~craigslist-scraper/run-sync-get-dataset-items?token={{apify_token}}
Body (JSON): map your Clay columns to the actor input (see the Input section above), e.g. {"city": "{{clay_column}}"}

The run finishes synchronously and returns the dataset rows straight into your Clay table. It runs on Apify's cloud under your own token and usage. Synchronous runs must complete within 300 seconds.

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