Business Intelligence
Gather Market Intelligence
at Scale
Make data-driven decisions with comprehensive market research. Spider crawls competitor sites, news sources, and industry publications to give you the insights you need to stay ahead.
Why Spider
Replace manual research with automated intelligence
- Market data is scattered across hundreds of sources
- Manual research is slow and incomplete
- Competitors update their sites frequently
- Third-party reports are expensive and outdated
- Crawl multiple sources in parallel, 50K requests/min
- Automated data collection via API and webhooks
- Fresh data directly from primary sources
- Search integration for real-time news and trends
Capabilities
Features built for market research
SERP Integration
Search the web for news, press releases, and industry updates. Get results from Google, Bing, and other engines through a single API call.
Competitor Monitoring
Track competitor websites for product changes, pricing updates, new features, and public announcements. Set up recurring crawls for continuous monitoring.
Content Extraction
Extract clean text from articles, blogs, and reports for analysis. Spider strips away navigation, ads, and boilerplate so you get only the content that matters.
Trend Detection
Monitor multiple sources to identify emerging trends early. Combine search, crawl, and extraction to build a real-time picture of your market.
Structured Data Export
Export data in JSON, markdown, or raw HTML for analysis tools, spreadsheets, and databases. Every response is clean and ready for processing.
Webhook Delivery
Receive crawl results instantly via HTTP webhooks to your systems. Build automated pipelines that react to new data as it arrives.
AI Extraction
Use natural language prompts to extract structured data from any page. Describe what you need and Spider returns clean, typed JSON.
Global Proxy Network
Access content from 199+ countries with residential, ISP, and datacenter proxies. Research geo-specific pricing and regional market data.
Code Example
Start collecting data in minutes
import spider
client = spider.Spider()
# Search for competitor intelligence
results = client.search(
"fintech competitor pricing 2026",
params={
"num": 30,
"fetch_page_content": True,
"return_format": "markdown",
}
)
for page in results:
print(page["url"], page["title"])import spider
client = spider.Spider()
# Crawl a competitor's pricing page
pages = client.crawl_url(
"https://competitor.com/pricing",
params={
"limit": 25,
"return_format": "markdown",
"metadata": True,
}
)
# Extract structured pricing data
pricing = client.extract_contacts(
"https://competitor.com/pricing",
params={
"prompt": "Extract all plan names, prices, and features",
}
)Workflow
How research teams use Spider
Use the Search API to find relevant sources across the web. Query for competitors, industry news, regulatory updates, and market reports.
Crawl discovered URLs in parallel. Spider handles JavaScript rendering, anti-bot protection, and proxy rotation automatically while you focus on analysis.
Export structured data to your analytics stack. Use AI extraction to pull specific data points, or stream markdown directly into your LLM pipeline.