List Webhook Events

Authorization

Bearer

AuthorizationBearer <token>

In: header

Path Parameters

webhook_id

integer

required

ID of the webhook

Query Parameters

status

stringnullable

Status of the webhook events to filter by

IN_PROGRESS
SUCCESS
FAILED
NOT_TRIGGERED

offset

integer

0 <= valuedefault: 0

Number of results to skip

limit

integer

1 <= value <= 500default: 25

Number of results per page

Response Body

`application/json`

curl -X GET "https://api.theirstack.com/v0/webhooks/123/events"

[
  {
    "id": 0,
    "webhook_id": 0,
    "job_id": 0,
    "company_name": "string",
    "triggered_at": "2019-08-24T14:15:22Z",
    "status": "IN_PROGRESS",
    "payload": {
      "id": 1234,
      "job_title": "Senior Data Engineer",
      "url": "https://example.com/job/1234",
      "date_posted": "2021-01-01",
      "has_blurred_data": false,
      "company": "Google",
      "final_url": "https://carecrafterhealth.com/careers/job-details/MFC286442-4",
      "source_url": "https://www.linkedin.com/jobs/view/1234567890",
      "location": "New York",
      "short_location": "Tulsa, OK",
      "long_location": "Methuen, MA 01844",
      "state_code": "OK",
      "latitude": 37.774929,
      "longitude": -96.726486,
      "postal_code": "01844",
      "remote": true,
      "hybrid": true,
      "salary_string": "$100,000 - $120,000",
      "min_annual_salary": 100000,
      "min_annual_salary_usd": 100000,
      "max_annual_salary": 100000,
      "max_annual_salary_usd": 100000,
      "avg_annual_salary_usd": 100000,
      "salary_currency": "USD",
      "countries": [
        "United States",
        "Canada",
        "Spain",
        "France",
        "Australia"
      ],
      "country": "United States",
      "country_codes": [
        "US",
        "CA",
        "ES",
        "FR",
        "AU"
      ],
      "country_code": "US",
      "cities": [
        "New York",
        "San Francisco",
        "London",
        "Paris",
        "Sydney"
      ],
      "continents": [
        "North America",
        "Europe",
        "Asia",
        "Australia",
        "South America"
      ],
      "seniority": "c_level",
      "discovered_at": "2024-01-01T00:00:00",
      "company_domain": "acme.com",
      "hiring_team": [
        {
          "first_name": "John Doe",
          "full_name": "John Doe",
          "image_url": "https://media.licdn.com/dms1234567890",
          "linkedin_url": "https://www.linkedin.com/in/john-doe-1234567890",
          "role": "CEO",
          "thumbnail_url": "https://media.licdn.com/dms1234567890"
        }
      ],
      "reposted": true,
      "date_reposted": "2024-01-01",
      "employment_statuses": [
        "full_time"
      ],
      "easy_apply": true,
      "technology_slugs": [
        "google-firebase",
        "postgresql",
        "jira"
      ],
      "description": "## About the Role\nWe are looking for a Senior Data Engineer with 5+ years of experience in data engineering to join our growing data team. You will be responsible for designing and implementing scalable data pipelines, data models, and data warehouses that support our business intelligence and analytics initiatives.\n\n## Key Responsibilities\n- Design, build, and maintain robust, scalable data pipelines using modern data engineering tools and frameworks\n- Develop and optimize data models and schemas for data warehouses and data lakes\n- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions\n- Implement data quality monitoring and validation processes to ensure data accuracy and reliability\n- Optimize query performance and data processing workflows for large-scale datasets\n- Build and maintain ETL/ELT processes using tools like Apache Airflow, dbt, or similar\n- Work with cloud data platforms (AWS, GCP, or Azure) and their native data services\n- Establish data governance practices and ensure compliance with data privacy regulations\n- Mentor junior data engineers and contribute to technical documentation\n\n## Required Qualifications\n- Bachelor's degree in Computer Science, Engineering, or related technical field\n- 5+ years of experience in data engineering or related roles\n- Strong proficiency in Python and SQL\n- Experience with big data technologies (Spark, Kafka, Hadoop ecosystem)\n- Hands-on experience with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse, etc.)\n- Experience with data orchestration tools (Airflow, Prefect, or similar)\n- Knowledge of data modeling concepts and best practices\n- Experience with version control systems (Git) and CI/CD pipelines\n- Strong problem-solving skills and attention to detail\n\n## Preferred Qualifications\n- Experience with real-time data processing and streaming analytics\n- Knowledge of data visualization tools (Tableau, Looker, PowerBI)\n- Experience with containerization (Docker, Kubernetes)\n- Familiarity with machine learning workflows and MLOps practices\n- Experience with data governance and cataloging tools\n\n## What We Offer\n- Competitive salary and equity package\n- Comprehensive health, dental, and vision insurance\n- Flexible work arrangements and remote-friendly culture\n- Professional development budget for conferences and training\n- State-of-the-art equipment and technology stack\n- Collaborative and inclusive work environment\n- Opportunity to work with cutting-edge data technologies",
      "company_object": {
        "id": "google",
        "name": "Google",
        "domain": "google.com",
        "industry": "internet",
        "country": "United States",
        "country_code": "string",
        "employee_count": 7543,
        "logo": "https://example.com/logo.png",
        "num_jobs": 746,
        "num_technologies": 746,
        "possible_domains": [],
        "url": "google.com",
        "industry_id": 0,
        "linkedin_url": "http://www.linkedin.com/company/google",
        "num_jobs_last_30_days": 34,
        "num_jobs_found": 23,
        "yc_batch": "W21",
        "apollo_id": "5b839bd0324d4445051f9a5a",
        "linkedin_id": "string",
        "url_source": "string",
        "is_recruiting_agency": true,
        "founded_year": 2019,
        "annual_revenue_usd": 189000000,
        "annual_revenue_usd_readable": "189M",
        "total_funding_usd": 500000,
        "last_funding_round_date": "2020-01-01",
        "last_funding_round_amount_readable": "$1.2M",
        "employee_count_range": "1001-5000",
        "long_description": "Google is a California-based multinational technology company that offers internet-related services such as a search engine, online advertising and cloud computing.",
        "seo_description": "string",
        "city": "Mountain View",
        "postal_code": "28040",
        "company_keywords": [
          "string"
        ],
        "alexa_ranking": 1,
        "publicly_traded_symbol": "GOOG",
        "publicly_traded_exchange": "NASDAQ",
        "investors": [
          "string"
        ],
        "funding_stage": "angel",
        "has_blurred_data": false,
        "technology_slugs": [
          "kafka",
          "elasticsearch"
        ],
        "technology_names": [
          "Kafka",
          "Elasticsearch"
        ]
      },
      "locations": [
        {
          "admin1_code": "CA",
          "admin1_name": "California",
          "admin2_code": "101",
          "admin2_name": "Sutter",
          "continent": "NA",
          "country_code": "US",
          "country_name": "United States",
          "display_name": "Live Oak, California, United States",
          "feature_code": "PPL",
          "id": 5367315,
          "latitude": 37,
          "longitude": -122,
          "name": "Live Oak",
          "state": "California",
          "state_code": "CA",
          "type": "city"
        }
      ],
      "normalized_title": "string",
      "manager_roles": [
        "string"
      ],
      "matching_phrases": [],
      "matching_words": []
    },
    "created_at": "2019-08-24T14:15:22Z",
    "updated_at": "2019-08-24T14:15:22Z",
    "response_status_code": 0,
    "response_body": "string"
  }
]

{
  "request_id": null,
  "error": {
    "code": "E-001",
    "title": "Not allowed exception",
    "description": "string"
  }
}

{
  "request_id": null,
  "error": {
    "code": "E-001",
    "title": "Not allowed exception",
    "description": "string"
  }
}

{
  "request_id": null,
  "error": {
    "code": "E-001",
    "title": "Not allowed exception",
    "description": "string"
  }
}

{
  "request_id": null,
  "error": {
    "code": "E-001",
    "title": "Not allowed exception",
    "description": "string"
  }
}

[ { "id": 0, "webhook_id": 0, "job_id": 0, "company_name": "string", "triggered_at": "2019-08-24T14:15:22Z", "status": "IN_PROGRESS", "payload": { "id": 1234, "job_title": "Senior Data Engineer", "url": "https://example.com/job/1234", "date_posted": "2021-01-01", "has_blurred_data": false, "company": "Google", "final_url": "https://carecrafterhealth.com/careers/job-details/MFC286442-4", "source_url": "https://www.linkedin.com/jobs/view/1234567890", "location": "New York", "short_location": "Tulsa, OK", "long_location": "Methuen, MA 01844", "state_code": "OK", "latitude": 37.774929, "longitude": -96.726486, "postal_code": "01844", "remote": true, "hybrid": true, "salary_string": "$100,000 - $120,000", "min_annual_salary": 100000, "min_annual_salary_usd": 100000, "max_annual_salary": 100000, "max_annual_salary_usd": 100000, "avg_annual_salary_usd": 100000, "salary_currency": "USD", "countries": [ "United States", "Canada", "Spain", "France", "Australia" ], "country": "United States", "country_codes": [ "US", "CA", "ES", "FR", "AU" ], "country_code": "US", "cities": [ "New York", "San Francisco", "London", "Paris", "Sydney" ], "continents": [ "North America", "Europe", "Asia", "Australia", "South America" ], "seniority": "c_level", "discovered_at": "2024-01-01T00:00:00", "company_domain": "acme.com", "hiring_team": [ { "first_name": "John Doe", "full_name": "John Doe", "image_url": "https://media.licdn.com/dms1234567890", "linkedin_url": "https://www.linkedin.com/in/john-doe-1234567890", "role": "CEO", "thumbnail_url": "https://media.licdn.com/dms1234567890" } ], "reposted": true, "date_reposted": "2024-01-01", "employment_statuses": [ "full_time" ], "easy_apply": true, "technology_slugs": [ "google-firebase", "postgresql", "jira" ], "description": "## About the Role\nWe are looking for a Senior Data Engineer with 5+ years of experience in data engineering to join our growing data team. You will be responsible for designing and implementing scalable data pipelines, data models, and data warehouses that support our business intelligence and analytics initiatives.\n\n## Key Responsibilities\n- Design, build, and maintain robust, scalable data pipelines using modern data engineering tools and frameworks\n- Develop and optimize data models and schemas for data warehouses and data lakes\n- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions\n- Implement data quality monitoring and validation processes to ensure data accuracy and reliability\n- Optimize query performance and data processing workflows for large-scale datasets\n- Build and maintain ETL/ELT processes using tools like Apache Airflow, dbt, or similar\n- Work with cloud data platforms (AWS, GCP, or Azure) and their native data services\n- Establish data governance practices and ensure compliance with data privacy regulations\n- Mentor junior data engineers and contribute to technical documentation\n\n## Required Qualifications\n- Bachelor's degree in Computer Science, Engineering, or related technical field\n- 5+ years of experience in data engineering or related roles\n- Strong proficiency in Python and SQL\n- Experience with big data technologies (Spark, Kafka, Hadoop ecosystem)\n- Hands-on experience with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse, etc.)\n- Experience with data orchestration tools (Airflow, Prefect, or similar)\n- Knowledge of data modeling concepts and best practices\n- Experience with version control systems (Git) and CI/CD pipelines\n- Strong problem-solving skills and attention to detail\n\n## Preferred Qualifications\n- Experience with real-time data processing and streaming analytics\n- Knowledge of data visualization tools (Tableau, Looker, PowerBI)\n- Experience with containerization (Docker, Kubernetes)\n- Familiarity with machine learning workflows and MLOps practices\n- Experience with data governance and cataloging tools\n\n## What We Offer\n- Competitive salary and equity package\n- Comprehensive health, dental, and vision insurance\n- Flexible work arrangements and remote-friendly culture\n- Professional development budget for conferences and training\n- State-of-the-art equipment and technology stack\n- Collaborative and inclusive work environment\n- Opportunity to work with cutting-edge data technologies", "company_object": { "id": "google", "name": "Google", "domain": "google.com", "industry": "internet", "country": "United States", "country_code": "string", "employee_count": 7543, "logo": "https://example.com/logo.png", "num_jobs": 746, "num_technologies": 746, "possible_domains": [], "url": "google.com", "industry_id": 0, "linkedin_url": "http://www.linkedin.com/company/google", "num_jobs_last_30_days": 34, "num_jobs_found": 23, "yc_batch": "W21", "apollo_id": "5b839bd0324d4445051f9a5a", "linkedin_id": "string", "url_source": "string", "is_recruiting_agency": true, "founded_year": 2019, "annual_revenue_usd": 189000000, "annual_revenue_usd_readable": "189M", "total_funding_usd": 500000, "last_funding_round_date": "2020-01-01", "last_funding_round_amount_readable": "$1.2M", "employee_count_range": "1001-5000", "long_description": "Google is a California-based multinational technology company that offers internet-related services such as a search engine, online advertising and cloud computing.", "seo_description": "string", "city": "Mountain View", "postal_code": "28040", "company_keywords": [ "string" ], "alexa_ranking": 1, "publicly_traded_symbol": "GOOG", "publicly_traded_exchange": "NASDAQ", "investors": [ "string" ], "funding_stage": "angel", "has_blurred_data": false, "technology_slugs": [ "kafka", "elasticsearch" ], "technology_names": [ "Kafka", "Elasticsearch" ] }, "locations": [ { "admin1_code": "CA", "admin1_name": "California", "admin2_code": "101", "admin2_name": "Sutter", "continent": "NA", "country_code": "US", "country_name": "United States", "display_name": "Live Oak, California, United States", "feature_code": "PPL", "id": 5367315, "latitude": 37, "longitude": -122, "name": "Live Oak", "state": "California", "state_code": "CA", "type": "city" } ], "normalized_title": "string", "manager_roles": [ "string" ], "matching_phrases": [], "matching_words": [] }, "created_at": "2019-08-24T14:15:22Z", "updated_at": "2019-08-24T14:15:22Z", "response_status_code": 0, "response_body": "string" } ]

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List Webhook Events

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