Resale operators
Price checks
Favorable to scraping
Export Craigslist listings by category, compare asking prices, spot underpriced items, and keep direct post URLs for manual follow-up before making buying decisions.
E-commerce Marketplace$50Free
Craigslist Scraper for CSV Exports
This Craigslist scraper turns public Craigslist listing pages into a structured CSV for market research, lead review, inventory tracking, and local price checks. Import the template into the UScraper local desktop app, run the live category workflow, and export titles, prices, locations, post URLs, posting times, IDs, user ad links, and image URLs without writing a crawler from scratch.
Output
CSV
Fields
18
Pagination
Next loop
Waits
Built in
Template
Free
At a glance
Export Craigslist listings without code
The template opens a live Craigslist category URL, waits for result rows such as listing cards and static search results, then uses Structured Export to turn each visible row into one CSV record. The included starting page targets San Francisco appliances sold by owners, but the same workflow can be adapted to furniture, electronics, free items, local services, or another Craigslist region by changing the Navigate URL.
Structured listing rows
Capture the fields analysts usually copy by hand: area, subarea, category, title, price, location text, posting time, post ID, listing URL, seller-posting search link, and main image URL.
Pagination handled in the graph
After each export, the workflow checks whether an enabled Craigslist Next link exists. If it does, UScraper clicks it, waits for the next page, and loops back into the same export block.
Local desktop app workflow
Your input URLs and CSV output stay in the desktop environment you control. This is useful when a no-cloud Craigslist data extractor is easier to approve than a hosted scraper.
Editable city and category
Replace the sample URL with any approved Craigslist search URL. Keep the first run short, verify row quality, then expand to additional categories or regions.
Who this is for
Teams that need Craigslist listing data
Local market researchers
Supply tracking
Favorable to scraping
Track how many appliances, furniture items, rentals, or vehicle listings appear in a region over time. The CSV gives you a repeatable baseline instead of screenshot-based reporting.
Agencies and data teams
Classifieds monitoring
Nuanced outcome
Combine this workflow with the eBay Data Scraper, Wallapop Scraper by Keywords, and Gumtree Real Estate Listing Scraper when research spans multiple classified or marketplace sources.
How to use
Run the Craigslist scraper
1
Download and import
Download the hosted JSON template, import it into UScraper, and open the workflow graph before your first run.
2
Set your Craigslist URL
Replace the sample SF Bay Area appliances URL with the city, search, category, filters, or owner/dealer scope your team is allowed to collect.
3
Review the export path
Structured Export writes craigslist_scraper.csv with headers and append mode enabled. Change the save folder if your research files live in a shared workspace.
4
Run the browser flow
UScraper navigates, waits for page load, waits for listing rows, and exports one row per visible listing card.
5
Let the loop finish
If Craigslist exposes an enabled Next link, the workflow clicks it, waits two seconds after load, and appends the next page into the same CSV.
6
Open the CSV
Review row counts, check a few post URLs manually, and load the file into Excel, Sheets, Power Query, or your internal enrichment pipeline.
Automation path inside the template
- 1
Navigate and wait
Open the configured Craigslist URL, wait up to 30 seconds for load, then confirm listing rows are visible.
- 2
Structured export
Append area, title, price, address, post URL, post ID, image URL, and related fields into one CSV file.
- 3
Check pagination
Test for
a.button.next[href],a.next[href], or a pagination Next link. - 4
End or loop
Stop when no Next link exists; otherwise click, wait, and loop back into Structured Export.
Output preview
What the Craigslist data extractor exports
The export mirrors the listing-level fields available from Craigslist search markup. Some detail-page fields can be blank when they are not present on the listing card, especially description, notices, updated time, or condition.
craigslist_scraper.csvColumn
area
Region inferred from the Craigslist host, such as SF bay area.
Column
subarea
Subarea inferred from the URL path, such as san francisco or east bay.
Column
category
Category code mapped to readable labels such as appliances or furniture.
Column
post_url
Direct Craigslist listing URL for follow-up QA.
Column
title
Listing headline cleaned from card text, attributes, or URL slug fallback.
Column
price
Visible price text with the dollar sign when present.
Column
address
Neighborhood or location text shown on the row.
Column
post_time
Relative or datetime value exposed by the listing markup.
Column
post_id
Craigslist posting ID parsed from data attributes or the URL.
Column
main_img
Primary image URL from the listing thumbnail when available.
Sample rows
2 of many
| area | subarea | category | post_url | title | price | address | post_time | post_id | main_img |
|---|---|---|---|---|---|---|---|---|---|
| SF bay area | san francisco | appliances | Stainless Steel Refrigerator | $350 | mission district | 2h ago | 1234567890 | ||
| SF bay area | san francisco | appliances | Washer Dryer Set | $500 | outer sunset | 6/01 | 2345678901 |
Headers included - each visible listing card appends one row
| Field group | Columns |
|---|---|
| Region and category | area, subarea, section, category |
| Listing identity | post_url, title, supertitle, post_id, user_ads_link |
| Commercial details | price, address, post_time, posted, main_img |
| Optional detail hints | description, notices, updated, condition |
Comparison
Local Craigslist scraper vs cloud scraping actors
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Craigslist template | No-code teams that want CSV output from a local desktop app | Best-effort browser automation; needs selector checks when Craigslist changes layout |
| Hosted scraping actors | High-volume jobs where vendor infrastructure is acceptable | Queries and results pass through a third party and may bill by run or row |
| Custom Python scraper | Engineering teams that need full control over requests and parsing | Requires maintenance, legal review, error handling, and deployment work |
For broader marketplace research, browse the UScraper template library, pair local classifieds data with the Zillow Listing Scraper by Keyword, or install the desktop client from UScraper Download before importing this template.
Frequently asked questions
Scraping Craigslist can be restricted by Craigslist terms of use, robots directives, technical controls, intellectual property rights, privacy rules, and local law. Use this template only for lawful research, keep volume modest, do not bypass access controls, and get legal review before publishing, reselling, or enriching scraped data.
Before you run
Practical limits and maintenance notes
Guardrails for reliable Craigslist exports
Rate limits
Keep runs modest and paced
Craigslist may slow, block, or challenge automated browsing when activity looks aggressive. Avoid parallel unattended runs, respect site safeguards, and stop when access prompts appear.
Layout drift
Listing markup can change
The template watches several common row selectors, but empty title, price, or URL columns usually mean the page layout changed or the run landed on an unusual page.
Scope
Listing pages are the source of truth here
This workflow targets search result cards. Detail-only fields like full description, updated time, notices, and condition may stay blank unless Craigslist exposes them in the listing row.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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