A Toolkit Your Agents Compose Freely
webscraperapi gives AI agents search, scraping, extraction, and verification as composable tools. They figure out how to chain them based on what you ask for.
What tech stack does linear.app use?
2:34 PM
Linear uses Next.js with React on Vercel, behind Cloudflare CDN. They also use Segment for analytics. The site is well-optimized — clean markup, fast load times.
2:35 PM
Your agent, where you already are
Ask a question in Telegram, and your OpenClaw agent uses webscraperapi to research, scrape, and analyze — then replies with the answer. No dashboards, no context switching.
Agent builds a lead list
Your agent searches Google, scrapes company pages, and verifies founder emails — all through composable API calls. No orchestration code needed.
GET /v2/google_search?query=fintech+companies+using+React
10 results: ["stripe.com", "plaid.com", "brex.com", ...]
GET /v2/scrape?url=stripe.com&output=markdown
# Stripe - Financial infrastructure for the internet...
GET /v2/verify_email_address?email_address=founder@stripe.com
{ "deliverable": true }python3 << 'EOF' import httpx, os api_url = "https://api.webscraperapi.ai/v2" api_key = os.environ["WEBSCRAPERAPI_API_KEY"] headers = {"Authorization": f"Bearer {api_key}"} pairs = [ { "sku": "AirPods Pro 2", "my_store": "https://my-store.com/products/airpods-pro-2", "competitor": "https://competitor-store.com/products/airpods-pro-2", }, { "sku": "Sony WF-1000XM5", "my_store": "https://my-store.com/products/sony-wf-1000xm5", "competitor": "https://competitor-store.com/products/sony-wf-1000xm5", }, ] for pair in pairs: my_price = httpx.get( f"{api_url}/scrape", params={"url": pair["my_store"], "prompt": "Extract current price", "llm": "gpt-4o-mini"}, headers=headers, ).json() competitor_price = httpx.get( f"{api_url}/scrape", params={"url": pair["competitor"], "prompt": "Extract current price", "llm": "gpt-4o-mini"}, headers=headers, ).json() EOF
Price comparison (my store vs competitor):
AirPods Pro 2
my-store.com: $249
competitor-store.com: $229 (we are +$20)
Sony WF-1000XM5
my-store.com: $259
competitor-store.com: $279 (we are -$20)
Summary:
• 1 SKU priced above competitor
• 1 SKU priced below competitor
• Report saved: reports/price-gap-wireless-earbuds.mdAgent monitors competitor pricing
Tell your agent to compare your store against competitor stores. It scrapes both sites, matches SKUs, and returns a clear price-gap report you can use for competitor monitoring.
Claude Code in action
In Claude Code, the agent can run real growth workflows, inspect output, and iterate until the task is complete, while calling webscraperapi endpoints under the hood.
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MCP: just add the server
Add one config block and every tool is available to your AI agent instantly.
# Hacker News 1. Show HN: Open-source AI agent framework 2. Why Rust is taking over systems programming 3. The future of web scraping with LLMs...
Any HTTP client works
Plain curl, Python requests, fetch. If it speaks HTTP, it works.
You Handle the AI.
We Handle the Web.
Anti-bot systems, JavaScript rendering, captchas, rotating proxies, rate limits. That is a full engineering project. We handle all of it. Your agent sends a request, gets clean data back.
Never get blocked
Anti-bot bypass, proxy rotation, captcha solving. Invisible to you.
HTTP 403 ForbiddenHTTP 200 OKBloated context
~68KB sent
Lean context
~4KB sent
Same system and user prompts, smaller web payload, better output.
Keep the agent context window light
Agent context is layered: system prompt, user prompt, app instructions, and web data. Keep the web layer small with clean markdown, JSON, or CSV for better reasoning and lower cost.
Never maintain scrapers
Sites change. We adapt. Your API call stays the same.
soup.select_one(
"div.price-box__old > span.now"
)
el = driver.find_element(
By.XPATH,
'//div[@class="product-info"]'
'/span[contains(@class,"sale")]'
)
price = re.search(
r'\$[\d,]+\.\d{2}',
el.text
)Try It Yourself
Pick an endpoint, pick a language. One call does it all.
curl -G "https://api.webscraperapi.ai/v2/scrape" \
-H "Authorization: Bearer YOUR_KEY" \
-d "url=https://example.com" \
-d "output=markdown" \
-d "render_js=true"# Example Domain
This domain is for use in illustrative
examples in documents. You may use this
domain in literature without prior
coordination or asking for permission.
[More information...](https://www.iana.org/
domains/example)What Your Agents Can Do
Prompt: “Find 10 Series A fintech companies using React”
Agent actions
- 1. Search Google for "Series A fintech React"
- 2. Scrape top 10 company sites
- 3. Extract founder names and emails
- 4. Verify email deliverability
Result: 10 qualified leads with verified contacts
Find 10 AI startups in Berlin and get verified founder emails
9:12 AM
Done. I found 10 startups and verified 14 founder emails. Want me to export this as CSV and sync to your CRM?
9:13 AM
Your AI Already Knows
How to Use It
Machine-readable docs indexes your agent can fetch and parse on first contact.
Drop-in setup instructions agents can follow without human help.
One command to connect. Tools are discovered automatically via claude mcp add.
Interactive docs and full OpenAPI schema. Every endpoint, every param, typed.
One API Instead of Five
Scraping, search, extraction, email verification, and tech detection. One API key. One bill.
| Feature | webscraperapi | Firecrawl | Jina Reader | ScrapingBee | DIY |
|---|---|---|---|---|---|
| Scrape any URL to markdown | Partial | DIY | |||
| JavaScript rendering | DIY | ||||
| Anti-bot bypass + captchas | |||||
| LLM-powered extraction | Partial | ||||
| Dedicated Google Search API | Partial | Partial | |||
| Google Shopping API | |||||
| Email verification | |||||
| Tech stack detection | |||||
| MCP tools (Claude/Cursor) | |||||
| Maintenance required | None | None | None | None | Constant |
| Free tier | 500 credits | 500 credits | limited | 1,000 trial calls | n/a |
| Starting paid price | $19/mo | $16/mo | usage | $49/mo | $$$+ |
Based on public docs and pricing pages (Feb 2026). Feature scope can change — verify current docs before purchasing.
All Features. Every Plan.
Just pick your credits. No feature gates. Need more? Top up anytime.
🌐 Scrape
- JS rendering
- LLM extraction
- CSS selectors
🔍 Google Search
- Locale & geo targeting
- Pagination
🛒 Google Shopping
- Currency & locale
- LLM extraction
📢 Google Ads
- Paid ad results
- Domain filtering
✉️ Email Verification
- Deliverability check
🛡️ Tech Detection
- Stack identification
📊 SERP Frequencies
- Competitive analysis
🔌 MCP Server
- OAuth authentication
- Auto tool discovery
📄 Output Formats
- Markdown, JSON, HTML, CSV
Free
500 credits/mo
No credit card required.
- All features included
- 5 concurrent requests
- Best-effort support
webscraperapi plus
5,000 credits/mo
- All features included
- 10 concurrent requests
- Standard support
webscraperapi pro
50,000 credits/mo
- All features included
- 50 concurrent requests
- Standard support
webscraperapi max
150,000 credits/mo
- All features included
- 200 concurrent requests
- Priority support
Common Questions
Give Your Agents
the Whole Web.
500 free credits. All endpoints. No credit card.
Your agents start pulling live web data in under a minute.