Tennis Scraper

Sports Data

Operated by Sourcelane✓ verified

A web-scraping connector that aggregates tennis data from TennisExplorer, Flashscore and SofaScore into structured exports (JSON, CSV, Excel). It extracts fixtures and results, per-bookmaker odds history with timestamped opening and movement across markets (match winner, over/under, Asian handicap, correct score), match-level and match-detail data (set-by-set scores, tiebreaks, structured final scores), live and pre-match odds, point-by-point sequences with serving player, multi-match statistics (aces, double faults, break points, service/return points), player profiles and bios (rankings, age, height/weight, nationality, prize money, career and per-season win/loss by surface, titles), head-to-head records with every mutual match, and ATP/WTA ranking snapshots over time. The connector supports multiple modes (fixtures, results, match details, players, head-to-head, rankings, search) and can route TennisExplorer URLs automatically.

Verified Sep 28, 3:55 AM

$0.004

per result

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Betting models and line-movement archives: capture opening-to-closing odds per bookmaker and join odds history to match results for model training and analysis.
Tennis analytics: generate surface-adjusted win probabilities, form and head-to-head features from structured set scores, recent form, and match statistics.
Sports media and content sites: auto-generate match previews (form, H2H, odds) and recaps (scores, ranking movers).
Fantasy and prediction applications: supply daily fixture slates, results feeds for scoring, and player biographies for profile pages.
Research results: produce historical results archives and weekly ranking snapshots for longitudinal analysis.

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"flashscore-sofascore-tennis-scraper","params":{"maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`source`	string	optional	Which site to read. TennisExplorer: fixtures, results, per-bookmaker odds history, player profiles, head-to-head, rankings, player search — no proxy needed. Flashscore: one request per day of fixtures/results (±7 days) with surfaces and set scores — no proxy needed. SofaScore: live matches, match statistics, point-by-point, odds, player profiles and rankings — uses a residential proxy automaticall
`mode`	string	optional	fixtures = upcoming matches with odds (today by default; SofaScore returns its live feed), results = finished matches with scores and closing odds (yesterday by default), matchDetails = deep per-match records (TennisExplorer: per-bookmaker odds history; SofaScore: statistics, point-by-point, odds), players = player profiles, h2h = head-to-head records (TennisExplorer), rankings = ATP/WTA tables, s
`startUrls`	array	optional	Any tennisexplorer.com URLs: /matches/, /next/, /results/, /match-detail/?id=…, /player/{slug}/, /mutual/{a}/{b}/, /ranking/… or /list-players/…. Each URL is auto-classified and routed to the right parser. Leave empty to use Mode instead.
`tourType`	string	optional	Which tournaments to include: both tours, or a single tour, singles or doubles.
`dateFrom`	string	optional	First day to scrape. Defaults: fixtures = today, results = yesterday. Fixtures for past dates are served from the results pages. Flashscore covers today ±7 days.
`dateTo`	string	optional	Last day, inclusive. Defaults to Date from (a single day). Ranges are capped at 62 days per run.
`matchIds`	array	optional	TennisExplorer numeric match ids (e.g. 3290771) or /match-detail/?id=… URLs — take them from the matchId field of fixtures/results rows. With source = SofaScore, pass SofaScore event ids instead.
`includeOddsHistory`	boolean	optional	Keep the full per-bookmaker odds movement — every price change with timestamp plus the opening price — on match-detail rows, across Home/Away, Over/Under, Asian Handicap and Correct Score. Turn off for lighter rows with current + opening odds only.
`includeRecentForm`	boolean	optional	Keep each player's recent-matches block on match-detail rows.
`playerSlugs`	array	optional	For the players mode: TennisExplorer slugs like djokovic or full /player/… URLs (find slugs with the searchPlayers mode). With source = SofaScore, pass SofaScore team ids, slugs like alcaraz-carlos, or player names.
`h2hPairs`	array	optional	For the h2h mode. One pair per line: djokovic vs alcaraz-5ab70, djokovic, alcaraz-5ab70 or a full /mutual/…/…/ URL.
`searchQuery`	string	optional	For the searchPlayers mode: part of a player's name, case-insensitive (e.g. alcaraz). Returns matching players with their slugs/ids and current rank.
`rankingTour`	string	optional	Which ranking to walk in rankings mode.
`rankingDate`	string	optional	Historical weekly snapshot to read (Mondays), TennisExplorer only. Leave empty for the latest ranking.
`maxItems`	integer	optional	Global cap on results rows for the run. You are billed per row, so this is your spend guard. Capped at 100 per call.
`maxConcurrency`	integer	optional	Parallel page fetches. 10 is a good default; raise it for large matchDetails batches.
`sofaMaxTournaments`	integer	optional	Reserved for SofaScore day fan-out. Currently SofaScore fixtures return the live feed in a single request, so this setting has no effect.

Each result contains

Field	Type	Description
`type`	string	Type
`source`	string	Source
`slug`	string	—
`playerUrl`	string	—
`name`	string	—
`country`	string	Country
`heightCm`	integer	—
`weightKg`	integer	—
`age`	integer	—
`birthdate`	string	—
`sex`	string	—
`plays`	string	—
`rankSingles`	object	—
`rankDoubles`	object	—
`photoUrl`	string	—
`nextMatch`	null	—
`careerBalance`	object	—
`seasonBalance`	array	—
`careerBalanceDoubles`	object	—
`seasonBalanceDoubles`	array	—
`titles`	array	—
`titlesDoubles`	array	—
`injuries`	array	—
`sourceUrl`	string	Source Url
`scrapedAt`	string	Scraped At

Use Tennis Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What are the current odds for this weekend's Premier League matches?”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"flashscore-sofascore-tennis-scraper","params":{"maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "flashscore-sofascore-tennis-scraper",
        "params": {"maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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