Factors Scraper
Spider read factors.ai in 125 ms without a browser and returned 158 lines of clean markdown.
### What does "intent data" actually mean in ABM and how does it help my sales team take action?Intent data tells you which of your target accounts are actively researching problems you solve, right now, before they fill out a form or talk to anyone. Factors pulls these signals together across your website, ads, and third-party sources and surfaces them as a clear priority list for sales. So instead of "Company X visited our site," your rep gets "Company X has visited your pricing page three times this week, engaged with your LinkedIn ad, and is researching ABM tools. Here's who to contact."### We have a tight ICP of about 1,000 target accounts. Can Factors.ai tell us which ones are actually in-market right now?Yes, and that's exactly the use case Factors is built for. Rather than treating all 1,000 accounts the same, Factors.ai scores them based on real engagement signals: website behavior, content consumption, ad interactions, and third-party intent. The result is a live, ranked list of accounts showing the most buying activity so your team focuses energy where it's most likely to convert.### Can Factors.ai track when a specific named account visits a specific page, like our ABM landing page built just for them?Absolutely. You can upload your target account list directly into Factors and get notified the moment any of those accounts show up, whether it's your homepage, a personalized landing page, or your pricing page. It's account-level precision, not just anonymous traffic data.### When our SDRs reach out to a target account, can they see if that account has already been engaging with us on our website or through ads?The same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on factors.ai.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://factors.ai");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.factors.ai", {
return_format: "markdown",
});
console.log(result);Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What factors.ai costs to scrape.
The capture above cost $0.00045 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
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Start scraping factors.ai.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.