Tennis Betting Odds Scraper

$3.00 per 1,000 matches ($2.50 on paid Apify plans), billed through your Apify account; you pay only for results. Apify's free plan includes $5 of credit a month, enough for about 1,666 matches.

Those TennisExplorer lists for the match, typically 10 to 15 at ATP/WTA and Challenger level (bet365, Pinnacle, Betfair, William Hill, Unibet, bwin and more). Many ITF and UTR matches have few or none; 'Only matches with odds' skips those.

Per bookmaker, opening is the oldest price in its change history on the match page and closing its last price before the start (current price for upcoming matches), each with its UTC time.

Turn on 'Only new since last run' and schedule Results mode (days back 1) hourly: each run returns only matches finished since the last one. Add a Slack or webhook URL for a digest.

Yes, in History mode. Paste the tournament's BetExplorer results page for the year you want, e.g. /tennis/atp-singles/paris-2023/results/ (find it on betexplorer.com under Tennis > tour > tournament > Results > year). Each match comes with BetExplorer's average closing odds; with match pages on, also the closing odds of each listed bookmaker, full names and set scores. Opening odds are not shown there.

It reads only public data any logged-out visitor can see: TennisExplorer's public match lists and match pages and, in History mode, BetExplorer's public season results, match pages and odds tables, on paths each site's robots.txt allows, at a polite pace with a declared bot user-agent. It never logs in, never solves CAPTCHAs and never visits bookmaker websites. Match results and odds are facts about public sporting events; no personal data beyond players' public names, seeds and rankings. To have a record removed, open an issue on this Actor's Issues tab; if TennisExplorer or BetExplorer formally asks us to stop, this Actor will stop. You are responsible for using the data lawfully, incl. gambling and data-reuse laws where you are; this is not legal advice.

Yes. Every input is described for agents: mode, days or dates, levels, players. It works through Apify's MCP server and API.

After 6 match pages in a row fail, the run stops opening match pages and returns the remaining matches from the day list only: score, players and the day-list price, without round, surface, rankings or per-bookmaker odds. After 3 day lists in a row fail, the run stops. Matches already read are kept, the status message says how many came without a match page and which days did not load, and you pay only for matches written to the dataset.

Only the small per-run start fee. Matches are charged one by one as they are written; a run with no matching matches, or a repeat run in only-new mode with nothing new, writes nothing and pays no match charges.

It keeps a memory of returned matches per mode and filter set (or per 'State key' if you name one). In Results mode each finished match is returned once. In Upcoming mode each scheduled match is returned once, so later odds moves on that match are not sent again; run Results mode later for the closing odds. Skipped matches are not charged, and matches unseen for 120 days drop out of the memory.

They come from the match page. They are empty when 'Bookmaker odds' (match pages) is switched off, or when that match page did not load. Rankings are singles rankings only, and they are the players' current rankings, not as of the match date.

odds_p1 / odds_p2 are the prices shown on the day list. closing_avg and opening_avg are the means of each bookmaker's last and first price; closing_best is the highest closing price across bookmakers. implied_prob_p1 / p2 come from the closing averages when the match page was read, otherwise from the day-list prices, with the margin (overround) removed. odds_source is 'bookmakers', 'list', or empty when no price was shown.

Results mode reads today and up to 92 days back, or a date range of at most 92 days. A longer range is refused with a clear message; split it into several runs. A 'To date' in the future is cut to today.

Yes. Pages are read with the site's public time-zone setting at UTC, so date is the UTC day of the list and start_time is UTC. Odds history times are converted from the site's Prague time to UTC.

On the last word of what you type (the surname), ignoring case and accents, against both players. 'Jannik Sinner' and 'Sinner' both match any player named Sinner on the list.

A busy day lists 400 to 700 matches across all levels, about 60-100 of them at ATP/WTA level. With match pages on, a run reads about 3 pages per second: 1,000 matches took 326 seconds in our test run. With match pages off it reads one page per day.