Feed in a list.
Get back a database.
Point Spidra at a CSV of URLs or a list of product pages. Define the fields you need. Spidra follows every link, opens every modal, and returns a fully structured dataset with every field filled in.
300 free credits included. No credit card required.
Perfect for
Travel and hospitality
Tour operators, OTAs, and hotel chains that maintain large property catalogs. Extract room specs, amenities, dining, wellness, and location data from Booking.com, IHG, Marriott, or any hotel website — all normalized to your internal schema.
Sales and marketing teams
Enrich existing contact lists with emails, phone numbers, social links, and company details from organizer pages, business directories, and external websites. Take a CSV of 4,000 profiles and get back a CRM-ready dataset in one run.
E-commerce and product teams
Populate product databases with specs, prices, descriptions, and images from supplier sites or competitor pages. Keep catalog data fresh without manual data entry or expensive third-party feeds.
Real estate and finance
Aggregate property listings, valuation data, planning permits, and neighborhood stats from multiple sources. Normalize every record to the same schema so your models and dashboards always have complete, consistent data.
How it works
Four steps from a raw list of URLs to a fully populated dataset.
Start with your seed list
Pass a CSV, an array of URLs, or a single starting URL. Spidra works from whatever you already have — hotel pages, organizer profiles, product listings, or property URLs.
Define your schema
Describe the fields you want in plain English or pass a JSON Schema. Spidra locks the output shape so every record comes back with the same fields, every time.
Spidra follows the chain
Most data lives across multiple pages. Spidra clicks into modals, follows organizer links, visits external websites, and resolves redirects — all automatically.
Get normalized JSON
Every field is extracted, normalized, and returned as clean JSON. Null means not found. The shape never changes. Plug it straight into your database, CRM, or pipeline.
Multi-hop extraction
Real-world data rarely lives on a single page. Spidra follows every link in the chain until it has everything you asked for.
Hotel page
https://booking.com/hotel/br/grand-hyatt-rio
Opens page, scrolls to availability table
Room modals (forEach)
Clicks each room category link
Extracts name, size, view, amenities per room
Parallel crawls
8 simultaneous category extractions
Dining, wellness, sport, facilities, services, kids, location, basic
Structured output
Full hotel profile, normalized to schema
{ rooms: [...], dining: {...}, wellness: {...}, location: {...} }
Event page
https://eventbrite.com/e/event-123
Extracts event name, date, organizer name and profile link
Organizer profile
https://eventbrite.com/o/organizer-456
Extracts website URL, Facebook page, follower count, total events
Organizer website
Tries homepage, /contact, /about
Extracts email, phone, address — falls back to Facebook if missing
Structured output
CRM-ready record, all fields filled
{ email: "...", phone: "...", address: "...", followers: 2400 }
Build your enrichment pipeline with a few API calls.
No scraper maintenance. No fragile selectors. Just describe what you need and Spidra handles the browser, the AI, the proxies, and the extraction.
Built for real pipelines
From a solo founder enriching 4,500 contacts to an enterprise tour operator managing 130,000 hotel records — the same API handles both.
Hotel content database for a major tour operator
A large European tour operator needed structured hotel facts across their entire catalog — rooms, amenities, dining, wellness, and location — extracted from Booking.com and direct hotel websites, normalized to their internal content schema.
{
"name": "Grand Suite Ocean View",
"sizeM2": 82,
"view": "sea",
"accommodationType": "suite",
"bathroom": "both",
"airConditioning": true,
"minibar": true,
"balcony": true,
"safe": true,
"coffeeTea": true
}4,500 event organizer profiles enriched for a sales platform
An AI sales automation founder had a list of Eventbrite organizer URLs with partial data. They needed email, phone, address, and social links filled in across all 4,500 records and exported as a CRM-ready dataset in a single automated run.
{
"organizer_name": "Houston Arts Collective",
"email": "[email protected]",
"phone": "(713) 555-0182",
"website": "houstonarts.org",
"facebook": "fb.com/houstonarts",
"follower_count": 3200,
"total_events": 47
}See a complete enrichment pipeline in action
We built an open-source Eventbrite scraper on top of the Spidra API that shows the full enrichment chain end to end. It starts from a search URL, follows 4 levels of links, and outputs a complete JSON dataset with contact info for every organizer. ~200 lines of code. Fully documented.
How Spidra compares
See how Spidra stacks up for large-scale data enrichment.
FAQ
Common questions about data enrichment with Spidra.
