Get structured access to Craigslist with ScrapeIt — we extract listings, contacts, and offer details across housing, jobs, services, and more. No clutter, just focused data you can actually use.
Craigslist isn’t built for structured use — but that’s where we come in. Instead of you manually browsing endless listings, ScrapeIt extracts only what matters based on your input: category, keyword, city zone, or post date. We adapt to the platform’s unstandardized layout, isolate the right entries, and format the results into clean files. You get focused datasets that match your goals — no noise, no hassle.
From each listing, we extract core details like the post title, description, price (if available), location, and contact method — whether it's an email relay or embedded phone number. We also collect posting dates, images, tags, and the specific subcategory it belongs to, such as housing, jobs, or services. In sections like housing or gigs, we capture extra context such as square meters, contract type, or compensation info when present. Everything is parsed and structured to fit your business needs — whether for market tracking, ad monitoring, or opportunity discovery.
Beyond titles and prices, Craigslist scraper reveals layers of data that often go unnoticed. ScrapeIt captures metadata like posting frequency by user, presence of contact verification, and image counts per post — valuable for spotting patterns between individuals and high-volume advertisers. In the housing section, we identify furnished vs. unfurnished listings, availability notes, and even subtle location hints buried in descriptions.
Craigslist is one of the world’s most recognizable classifieds platforms, founded in 1995 in San Francisco. Over the decades, it has grown into a global network of local online marketplaces, connecting people for everything from housing and jobs to services, gigs, and second-hand goods.
Staying true to its minimalist philosophy, Craigslist.org avoids modern personalization features—no algorithms, no boosted listings, and no invasive ads. Posts appear chronologically, creating a raw, fast-moving stream of local offers and requests. The platform provides a simple, text-based interface that has remained largely unchanged since the 1990s, making it extremely lightweight and fast to load.
Unlike newer marketplaces, Craigslist requires no account to browse or post in most categories, allowing for low-friction, direct exchanges. This simplicity attracts a diverse range of users: freelancers, small business owners, students, landlords, expats, and everyday locals.
Craigslist operates through city-specific subdomains rather than a single global site. For example, users in New York access newyork.craigslist.org, in Los Angeles losangeles.craigslist.org, in London london.craigslist.org, and so on. Currently, Craigslist is available in over 70 countries and hundreds of cities.
Language support varies by region. While the default interface is English, many local versions include multilingual options, such as French, Spanish, German, Italian, Portuguese, Japanese, Korean, and Chinese, depending on the market.
Craigslist also hosts unique categories like "Missed Connections," "Gigs," and "Free Stuff," offering an unfiltered look into local communities, informal economies, and social interactions. Despite its retro design, Craigslist remains highly indexable, SEO-friendly, and remarkably effective for hyperlocal discovery.
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While Craigslist is rich with listings, it’s not built for structured access — and that’s where a Craigslist web scraper comes in. Whether you're targeting apartment listings, local gigs, or niche services, ScrapeIt allows you to scrape Craigslist based on specific categories, keywords, or districts. The raw site doesn’t support filtering, exporting, or bulk review — making manual research time-consuming and error-prone. With a custom extraction, you get focused data ready for lead generation, market analysis, ad tracking, or competitive research — all without the limitations of the interface.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Using a Craigslist scraper, we transform unstructured listings into clean datasets that match your exact needs. There’s no software to install, no scripts to maintain — just tell us what kind of listings you're after, and we’ll deliver structured data filtered by category, location, or keywords. Whether you're mapping the housing market, analyzing gig activity, or building a contact list for local services, our focus is precision and efficiency. You get curated, ready-to-use data — without touching a scraper yourself.
It’s a custom tool we use to extract listing data from Craigslist — filtered and formatted based on your goals. Whether you need housing offers, job ads, or local services, we turn unstructured pages into usable files.
Absolutely. You can define any combination of filters — by neighborhood, section (like “Jobs” or “Housing”), keywords, or post date. We’ll scrape only what’s relevant.
Yes. Where available, we extract visible contact info (emails or phone numbers), photos, post titles, prices, and descriptions — all bundled into clean data exports.
Your data comes in CSV, Excel, or JSON — formatted for easy integration into CRMs, spreadsheets, or dashboards. No cleanup required.
Local agencies, researchers, and marketing teams rely on Craigslist data to generate leads, analyze market volume, or track informal job trends across the city.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
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