The Whole Web Behind One REST API
Typed endpoints across 500+ sources, consistent JSON on every call — one key, one data model, and no extraction layer for your team to build or babysit.
Why Teams Pick It
One Data Model Across Every Source
People, companies, posts, prices — the same predictable field names whether the record comes from Instagram, Reddit, or a filing on SEC EDGAR. Every endpoint returns UTF-8 JSON with consistent field naming.
Single Authentication
One header, one key, every endpoint. No per-platform credentials, no OAuth flows, no token refresh — access is handled in the infrastructure, and Python, Node.js, and Go SDKs handle the HTTP details.
No Extraction Layer to Maintain
When a site changes its markup, endpoints adapt on our side and keep returning the same schema. A changed page is our problem, not your sprint.
No Single Point of Failure
Requests route across multiple sources, so one provider going dark never takes your pipeline down. One key, many routes to the same data.
Any URL, Typed JSON Back
Pre-built endpoints cover the major platforms. For everything else, point the API at a URL and get a generated endpoint with clean fields back.
Throughput for Production Volume
Rate limits scale with the plan, and unit prices drop as volume grows. Custom contracts add dedicated capacity, SLAs, and sources on request.
How It Works
Get One Key
Sign up, start the free trial, and take your token. It opens every endpoint on every source — there is no per-platform setup.
Post a Request, Get JSON
One auth header, one HTTPS call. The response is a typed object — a profile, a company, a post, a price — not a page to parse.
curl -X POST https://api.anysite.io/... -H "access-token: <your-key>"
Wire It Into the Product
Map the fields once and ship. Schemas stay put in production, so the integration you write today is the one running next quarter.
Scale the Volume, Not the Code
Move up a plan for more credits and throughput. Custom contracts add volume pricing, SLA, and dedicated capacity — the code never changes.
See the Request. See the Response.
curl -X POST "https://api.anysite.io/api/people/profile" \
-H "access-token: YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"url": "https://.../in/username"}'One POST, one auth header, a typed profile back — endpoint path and profile URL shortened.
import requests
headers = {"access-token": "YOUR_TOKEN", "Content-Type": "application/json"}
profile = requests.post("https://api.anysite.io/api/people/profile",
headers=headers, json={"url": "https://.../in/username"}).json()
print(profile["headline"])
print(profile["experience"])The requests library and a few lines — headline and experience, no parser anywhere. Endpoint path and profile URL shortened.
{
"name": "Jane Smith",
"headline": "VP of Engineering at Acme Corp",
"location": "San Francisco, CA",
"followers": 12400,
"experience": [
{ "title": "VP of Engineering", "company": "Acme Corp", "start_date": "2022-03" }
],
"request_id": "req_abc123"
}Trimmed from the live sample response — every call carries a request_id, and the full schema lives in the docs.
What You Ask. What You Get.
“Enrich every new signup with company, role, and recent activity.”
What happens: Your service calls people and company endpoints as signups land — one auth header, the same JSON shapes on every response.
You get: CRM records filled with today’s fields, not last quarter’s — and no parser anywhere in the stack.
“Track prices and reviews for five hundred products every night.”
What happens: A scheduled job posts to marketplace and review endpoints; typed responses land in your warehouse with stable field names.
You get: A morning diff of price moves and fresh reviews — ready for repricing rules or the category report.
“Brief my research agent on any company before the meeting.”
What happens: The agent calls profile, company, filing, and news endpoints with known schemas — no browsing, no raw HTML in its context.
You get: Briefs grounded in records fetched at call time, every claim traceable to its source.
How It Stacks Up
Each of these tools gets you web data — the difference is how much of the extraction layer your team ends up owning.
| Feature | Anysite | Apify | Bright Data | Proxycurl |
|---|---|---|---|---|
| Unified API | One API, one schema for all platforms | Separate actors per source | Proxy infrastructure, you write extractors | Business data only |
| AI-generated endpoints | Any URL, on demand | No | No | No |
| Self-healing extraction | Automatic | Depends on actor maintainer | Manual | Partial |
| Business data depth | Profiles, companies, search, jobs, email finder | Via third-party actors | Via proxy + your code | Profiles and companies |
| Social media coverage | Business data, Instagram, Twitter, YouTube, Reddit | Per-actor, varies | Via proxy + your code | Business data only |
| Authentication | Single API key | Per-actor configuration | Complex proxy setup | Single API key |
| Pricing model | Credit-based, from $49/mo | Per-actor, usage-based | Bandwidth + proxy fees | Per-request, from $49/mo |
Common Questions
Pick the API line when you’re building systems — products on our data, parallel scripts, scheduled pipelines, CRM integrations. If you mostly work inside an AI tool with an agent, MCP plans are simpler: flat pricing from $30/month, and no credits to count.
Stop Maintaining Extraction. Start Shipping.
One key, 500+ sources, the same JSON shapes on every call — usage-based from $49/mo, with a 7-day free trial to prove it on your own pipeline.