Automatisierte Abruf von Wett-Daten mit TheOddsAPI und Airtable
Dies ist ein Other-Bereich Automatisierungsworkflow mit 10 Nodes. Hauptsächlich werden Merge, Airtable, HttpRequest, ScheduleTrigger und andere Nodes verwendet. Automatisierung der Sportwetten-Daten mit Odds API
- •Airtable API Key
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
Verwendete Nodes (10)
Kategorie
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"name": "Automating Betting Data Retrieval with TheOddsAPI and Airtable",
"tags": [],
"nodes": [
{
"id": "3f7d9313-2a46-4869-a1f5-33976352961c",
"name": "Notiz",
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"content": "The following triggers start the workflow at the Start of the day and the End of the day. Times can be adjusted to user's preference. "
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"content": "Once activated, HTTP Requests pulls the upcoming data for the sport of the user's choosing. The following is set for Ice Hockey. More documentation can be found within the link below: \n\nhttps://the-odds-api.com/liveapi/guides/v4/#get-events\n\nIf you would like to add more data such as the sport books or odds, you can find documentation within the documentation below: \n\nhttps://the-odds-api.com/liveapi/guides/v4/#get-odds\n\nOnce the data is pulled, the records are created within the Airtable.\n"
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"name": "Notiz2",
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"parameters": {
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"width": 800,
"height": 540,
"content": "At the end of the day, the Schedule Trigger will activate a HTTP request for the scores of the events. This is set for Ice Hockey but can be adjusted for the user's preference. \n\nAfter the data is pulled, it will merge the data with upcoming events to combine the results matching the id. \n\nThe Airtable is then updated with the result records. This can be adjusted to pull in sports odds or the different sports book data. "
},
"typeVersion": 1
},
{
"id": "01134aa4-cc3c-42ed-bc96-f737f1434ed6",
"name": "Morgendlicher Trigger zum Datenabruf um 07:00 Uhr",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
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"parameters": {
"rule": {
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"triggerAtHour": 7
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},
"typeVersion": 1.2
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{
"id": "c0b4c27f-bb17-4d85-a042-aa2db5060a6f",
"name": "Abendlicher Trigger zum Datenabruf um 23:00 Uhr",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-420,
-20
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 23
}
]
}
},
"typeVersion": 1.2
},
{
"id": "0a38de6c-4f2e-46ba-8c10-8f12b0a4abe2",
"name": "Abruf der Daten anstehender Sportveranstaltungen für den Tag",
"type": "n8n-nodes-base.httpRequest",
"position": [
20,
-200
],
"parameters": {
"url": "=https://api.the-odds-api.com/v4/sports/icehockey_nhl/events?apiKey=60019f5ac82b8d5d508b2dc8393384c1",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "qbYtAoCFY2cLFvOU",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "28393bd9-17ed-48b1-ba6f-f62b51ce137c",
"name": "Erstellung von Datensätzen für anstehende Veranstaltungen des Tages",
"type": "n8n-nodes-base.airtable",
"position": [
180,
-380
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appIXd8a8JeB9bPaL",
"cachedResultUrl": "https://airtable.com/appIXd8a8JeB9bPaL",
"cachedResultName": "Untitled Base"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbldpnP52opBEtKEy",
"cachedResultUrl": "https://airtable.com/appIXd8a8JeB9bPaL/tbldpnP52opBEtKEy",
"cachedResultName": "Table 1"
},
"columns": {
"value": {
"id": "={{ $json.id }}",
"away_team": "={{ $json.away_team }}",
"home_team": "={{ $json.home_team }}",
"sports_key": "={{ $json.sport_key }}",
"sport_title": "={{ $json.sport_title }}",
"commence_time": "={{ $json.commence_time }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sports_key",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "sports_key",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sport_title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "sport_title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "commence_time",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "commence_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "home_team",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "home_team",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "away_team",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "away_team",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "completed",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "completed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scores",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "scores",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "last_update",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "last_update",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "0ApVmNsLu7aFzQD6",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "086e599b-fc74-4ed5-a36f-fb80e385e625",
"name": "Abruf der Sportergebnisdaten am Tagesende",
"type": "n8n-nodes-base.httpRequest",
"position": [
500,
20
],
"parameters": {
"url": "https://api.the-odds-api.com/v4/sports/icehockey_nhl/scores?daysFrom=1&apiKey=60019f5ac82b8d5d508b2dc8393384c1",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "qbYtAoCFY2cLFvOU",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "1b5ec6f2-d913-4005-89f0-d566e896c344",
"name": "Zusammenführung von Sportergebnissen mit Datensätzen anstehender Veranstaltungen durch ID-Abgleich",
"type": "n8n-nodes-base.merge",
"position": [
740,
-120
],
"parameters": {
"mode": "combine",
"options": {},
"fieldsToMatchString": "id"
},
"typeVersion": 3
},
{
"id": "f1765871-6f9e-416b-8ee8-696bc4dbf6bb",
"name": "Aktualisierung der Tabelleneinträge mit Spielständen und Ergebnissen für Sportveranstaltungen",
"type": "n8n-nodes-base.airtable",
"position": [
1020,
-60
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appIXd8a8JeB9bPaL",
"cachedResultUrl": "https://airtable.com/appIXd8a8JeB9bPaL",
"cachedResultName": "Untitled Base"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbldpnP52opBEtKEy",
"cachedResultUrl": "https://airtable.com/appIXd8a8JeB9bPaL/tbldpnP52opBEtKEy",
"cachedResultName": "Table 1"
},
"columns": {
"value": {
"id": "={{ $json.id }}",
"scores": "={{ $json.scores }}",
"completed": "={{ $json.completed }}",
"last_update": "={{ $json.last_update }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sports_key",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "sports_key",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sport_title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "sport_title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "commence_time",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "commence_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "home_team",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "home_team",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "away_team",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "away_team",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "completed",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "completed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scores",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "scores",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "last_update",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "last_update",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"id": "0ApVmNsLu7aFzQD6",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "bf20603b-eb12-4156-94fe-fb18ecf6a454",
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"c0b4c27f-bb17-4d85-a042-aa2db5060a6f": {
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]
}
}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Fortgeschritten - Sonstiges
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Marketing Canopy
@johnmarketingcanopyA results-driven Six Sigma Green Belt with 5 years of experience specializing in marketing process optimization, AI-powered data automation, and performance analytics. Adept at leveraging machine learning models, predictive analytics, and automation tools to enhance marketing efficiency, streamline workflows, and maximize ROI.
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