{ "openapi": "3.0.1", "info": { "title": "Tennis Abstract Match History Scraper - Stats, H2H, New Matches", "description": "For tennis bettors, modelers and analysts: every ATP singles match on a player's Tennis Abstract page - score, round, surface, opponent, ranks, aces, serve points, break points. Djokovic: 1,516 matches. 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Accents and case do not matter (novak djokovič finds Novak Djokovic). A name that fits several men (Sinner fits Jannik and Martin Sinner) or none comes back as a free row that lists the candidates or says so. Women are not available: Tennis Abstract keeps women's match histories in files its robots.txt asks crawlers not to read. Leave empty (and head-to-head empty) for a 10-match sample of Jannik Sinner.", "items": { "type": "string" } }, "headToHead": { "title": "Head-to-head", "type": "array", "description": "Pairs of players, one per line, written as \"Player A vs Player B\". Each line returns one head-to-head row (meetings, wins for each player, wins by surface, last meeting) followed by every meeting as a match row, seen from Player A. As on Tennis Abstract, meetings and wins include walkovers (counted in the walkovers column). Date, surface and level filters apply; opponents and results filters do not.", "items": { "type": "string" } }, "dateFrom": { "title": "From date", "pattern": "^(\\d{4}-\\d{2}-\\d{2})?$", "type": "string", "description": "Only matches from tournaments that started on or after this date (YYYY-MM-DD). Tennis Abstract dates every match with its tournament's start date." }, "dateTo": { "title": "To date", "pattern": "^(\\d{4}-\\d{2}-\\d{2})?$", "type": "string", "description": "Only matches from tournaments that started on or before this date (YYYY-MM-DD)." }, "surfaces": { "title": "Surfaces", "type": "array", "description": "Only matches on these surfaces. Leave empty for all.", "items": { "type": "string", "enum": [ "hard", "clay", "grass", "carpet" ], "enumTitles": [ "Hard", "Clay", "Grass", "Carpet" ] } }, "levels": { "title": "Tournament levels", "type": "array", "description": "Only matches at these tournament levels, as Tennis Abstract codes them. 'Other tour-level' is Tennis Abstract's catch-all for ATP 250/500 events, United Cup and Laver Cup, and in some years it also holds the Tour Finals or the Olympics. Leave empty for all.", "items": { "type": "string", "enum": [ "grand-slam", "masters", "tour-finals", "olympics", "davis-cup", "other-tour-level", "challenger", "futures", "qualifying", "juniors" ], "enumTitles": [ "Grand Slam", "Masters 1000", "Tour Finals", "Olympics", "Davis Cup", "Other tour-level", "Challenger", "ITF Futures", "Qualifying", "Juniors" ] } }, "opponents": { "title": "Opponents", "type": "array", "description": "Only matches against these opponents, one per line. A line matches an opponent whose name contains all its words, ignoring accents and case (Zverev matches Alexander and Mischa Zverev).", "items": { "type": "string" } }, "results": { "title": "Results", "type": "array", "description": "Only won or only lost matches. Leave empty for both.", "items": { "type": "string", "enum": [ "won", "lost" ], "enumTitles": [ "Won", "Lost" ] } }, "maxMatchesPerPlayer": { "title": "Matches per player", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Newest matching matches returned per player. 0 returns the whole career (Novak Djokovic: 1,516 matches on 21 Sep 2026). Leave empty for 100. In monitoring mode it only limits the first check of a player; later checks return every new match." }, "monitoringMode": { "title": "Only new matches (monitoring)", "type": "boolean", "description": "Remember the matches already seen for each player (per set of filters) and return only matches Tennis Abstract adds later. The first check of a player returns the newest matches (see 'Matches per player') and records the rest as known. Every player checked costs a small check fee, with or without new matches. Do not put the same players and filters in two schedules that run at the same time: the memory has no atomic update, so overlapping runs can overwrite each other.", "default": false }, "resetMonitoringState": { "title": "Forget remembered matches", "type": "boolean", "description": "Start monitoring from scratch for this set of filters: the next check of each player is treated as a first check.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }