A no-code way to scrape live World Cup betting odds

A developer used Chat4Data, an AI agent, to scrape live World Cup betting odds from Polymarket without writing code. By describing the desired fields in plain language, the agent extracted structured data such as event time, volume, and odds, adjusting to site changes without manual selector maintenance. The approach is presented as a faster alternative to traditional scraping for one-off or occasional data pulls, though not suitable for high-volume or scheduled pipelines.

This World Cup has been full of upsets — Norway knocking out Brazil, Cabo Verde drawing with both Spain and Uruguay, all four pre-tournament favorites needing a single-goal margin just to survive the Round of 16. Every one of those showed up in the odds boards first, often hours before kickoff. If you've ever wanted to capture that shift yourself — for a side project, some stats digging, or just curiosity — you've probably hit the same wall I did: writing and maintaining a scraper for a page you only need once or twice isn't worth the overhead. Selectors break, pages paginate, sites push back on bots. So instead of spinning up Playwright or BeautifulSoup for a one-off pull, I tried something different: describing what I want in plain language and letting an AI agent handle the extraction. Using Chat4Data https://chat4data.ai as an example, here's the loop: Describe the target and fields. Point it at a live odds page I used Polymarket's live sports markets and describe what you want: event time, volume, location, participants, moneyline, spread, total. Preview before extracting. It shows a planned workflow and a data preview first. If fields are missing or mismapped, you just say so in plain language and it adjusts — no re-writing selectors. Confirm the schema , then generate the collection plan. Review one more preview to catch mislabeled columns before committing. Extract , and export to CSV, JSON, or Excel. The part that actually surprised me: the conversation persists. For a tournament running over weeks, I don't re-describe the extraction each time — I reopen the same thread and re-run it against the current page state. If you want to see this step-by-step with actual screenshots before trying it yourself, the full walkthrough is here https://chat4data.ai/blog/2026-world-cup-odds . I want to be specific about the trade-off instead of just saying "it's easier." | Writing your own scraper | Describing it to an agent | | |---|---|---| | Setup | Pick a lib Playwright/Selenium/BS4 , write selectors per field | One sentence describing the fields you want | | Site changes a class name | You debug and patch selectors | You just re-describe or nudge in plain language | | Pagination / dynamic loading | You write handling logic | Handled as part of the extraction | | Repeat runs e.g. daily during a tournament | Re-run your script, hope nothing broke | Reopen the same conversation, run again | | Time for a one-off pull | Anywhere from 20 minutes to a couple hours, depending on the page | A few minutes, mostly spent describing fields and checking the preview | None of this replaces a real scraping pipeline if you need scheduled, high-volume, multi-site collection — see the next section. But for the "I just need this table, once or a few times" case, the setup cost difference is the whole pitch. To be clear about the boundaries: this isn't a monitoring or polling system. It won't sit in a loop hitting an endpoint every few minutes, and it's not a fit if you're building an automated arbitrage pipeline across sportsbooks. For that, you still want scheduled infra of your own. Where it is useful is the much more common case: you're looking at a page, you want the structured data that's on it, right now, and don't want to write single-use scraping code for it. That covers a lot of quick, exploratory, or personal-scale data pulls — not just betting odds, but any structured table on a live page. If you're curious, you can just try the Chrome extension https://chromewebstore.google.com/detail/cpnjplgolcfhabpjcnfopcmhbbciglif?authuser=0&hl=en directly on tonight's match. For this kind of one-off, "I just need this table right now" need — do you usually reach for a script Selenium/Playwright/BS4 , a no-code tool like this, or just manually copy-paste? Curious what the actual split looks like in the comments.