Paste a Craigslist search URL - or a single listing - and get the results back as rows: the title, the asking price and its currency, the condition where the seller stated one, the neighbourhood, a link to the posting, its photo and a description preview. Ranked in the order Craigslist returned them.
The input is the page you would otherwise scroll. Build the search on Craigslist as usual, then hand us the address.
One row per listing, tagged with the query it came from and numbered in the order Craigslist returned it - so the ranking survives into the spreadsheet.
Asking price and currency arrive as their own columns, so a search becomes a distribution rather than a page you eyeball. Read the note on the -1 sentinel first - it is the one thing that will skew an average if you miss it.
Craigslist tags listings with the poster's own area rather than a postcode, and that comes through as written. A single city search spreads across a long tail of neighbourhoods - enough to see where the supply of a thing actually sits.
Rows arrive numbered in the order the board served them, so a repeat run shows what moved. That ordering is the part a manual copy-paste always loses.
What the board shows about each posting: what it is, what it costs, what condition the seller claims, where it is, and where to go and look at it.
Two of these columns behave in ways worth knowing before you build on them, so they are called out in the table rather than left for you to trip over. price is a string and uses -1 to mean no price was posted, so a naive cast to number pulls every average down. And description is a preview capped at 500 characters, not the full posting; longer bodies stop mid-word at exactly that length.
The column set, the sentinel and the truncation are properties of the export and hold regardless of what you query. How often the optional fields carry a value is a different matter - that moves with the category, the board you point it at and how many rows you take.
The export's header row, in order. Where a field is marked optional below, that describes what a Craigslist poster chooses to fill in - not the scrape. How often it carries a value varies with the board, the category and the size of the run.
Two traps, both easy to avoid once you know. price is a string carrying the sentinel -1 for "no price posted", so casting the column and taking a mean will quietly drag it down; filter first. And description is a 500-character preview, not the posting - longer bodies stop at exactly that length, mid-word. Beyond that, position exists only in the JSON, so a CSV or XLSX export has nine columns rather than ten, and condition is genuinely optional on Craigslist rather than missing from the scrape - it is a field the seller chooses to set.
Point it at a results page to take the board, or at one listing when you already know which. Both come back in the same nine columns.
A few examples of what a queryable classifieds board is good for.
Pull every listing for the thing you deal in and read the price column as a distribution rather than a feed. Filter out the no-price rows, and the spread between a good buy and a bad one stops being a hunch.
The neighbourhood column turns one city search into a map of supply. Useful when the difference between a worthwhile pickup and a wasted afternoon is which side of town it sits on.
Run the same search on a schedule and each export is a dated snapshot - how many listings, at what prices, in what condition. Secondhand supply and pricing move quickly, and one run cannot show you that.
No subscription, no minimum, no recurring bill. Your first 500 rows are on us - after that, pay-as-you-go at the same flat rate as every other scraper here.
Every new account, one-time. No credit card required. Per-query limits, file upload and every export format included.
Roughly $2 per 1,000 listings. The pre-flight estimator shows the row count and credit cost before a run starts - no surprise bills, no compute units to translate.
Volume pricing, dedicated workers and an SLA for tracking many searches across many boards on a schedule. Tell us your numbers and we will quote.
LIVESCRAPER10 at checkout.Secondhand prices only mean something next to another number. These two supply it.
The other big secondhand marketplace, in the same shape - title, asking price, city and a permalink per item. Run both on one search term and you have the local resale market twice over.
The retail price of the same thing new. The gap between that and a Craigslist asking price is the whole basis of a resale decision.
Short answer: the listings are public - but Craigslist is more protective of its postings than most sites, and you should know that before you scale.
Everything collected here is shown on a public Craigslist page to any visitor, signed in or not: the title, the asking price, the condition the seller picked, the area they posted under, the photo and the description. No login, no paywall, nothing behind an account. There is no seller name, phone number or email anywhere in the export, and no column for one.
We would rather flag this than let you find out later: Craigslist has historically enforced against automated collection of its listings more actively than comparable sites, and its terms restrict it. That does not make public data secret, but it does make this a terms question with real history behind it - if you are planning volume, or building a product on top of the output, take advice on your specific use rather than relying on a general rule.
We run no third-party trackers on the data layer, and your exports auto-delete after 30 days.
The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.
500 one-time free rows on every new account - no expiry. After that it is $0.002 per row, pay-as-you-go - no card on file until you say so.
Livescraper's Craigslist Scraper turns a classifieds search into a dataset. You submit a Craigslist search URL or a single listing URL - typed one per line, or uploaded as a CSV, XLSX, TXT or Parquet file - set a limit per query if you want one, and download the results as a clean CSV, Excel or JSON file. One row per listing, numbered in the order the board returned it.
Each row carries the listing title as the seller wrote it, the asking price and its currency, the condition they selected where they set one, the neighbourhood they posted under, a link to the posting, its photo, and a preview of the description. Nine columns in the file, with a tenth in the JSON carrying the result rank.
Resellers pull every listing for the thing they deal in and read the prices as a distribution rather than a feed. Operations teams use the neighbourhood column to turn one city search into a map of where supply actually sits. Researchers run the same search on a schedule, because secondhand pricing moves quickly and a single snapshot cannot show a trend.
Two properties of this export are worth knowing before you write code against it. The price column is a string and uses -1 to mean no price was posted, so cast it naively and every average you compute drifts downward - filter those rows first. And the description is a preview capped at 500 characters, cut mid-word at the limit, rather than the full posting. Start free: your first 500 rows cost nothing and need no credit card, and after that it is $0.002 per row, flat.