diff --git a/utils/scripts/grep-nightly-logs.py b/utils/scripts/grep-nightly-logs.py
new file mode 100644
index 0000000000..582dd63e07
--- /dev/null
+++ b/utils/scripts/grep-nightly-logs.py
@@ -0,0 +1,100 @@
+import argparse
+import logging
+import os
+
+import requests
+
+
+logging.basicConfig(
+    level=logging.DEBUG, format="%(levelname)-5s %(message)s",
+)
+
+logging.getLogger("urllib3").setLevel(logging.WARNING)
+
+
+def get_environ():
+    environ = {**os.environ}
+
+    try:
+        with open(".env", "r", encoding="utf-8") as f:
+            lines = [l.replace("export ", "").strip().split("=") for l in f.readlines() if l.strip()]
+            environ = {**environ, **dict(lines)}
+    except FileNotFoundError:
+        pass
+
+    return environ
+
+
+def get_json(url, headers=None, params=None):
+    response = requests.get(url, headers=headers, params=params, timeout=30)
+    response.raise_for_status()
+    return response.json()
+
+
+def main(
+    language: str,
+    log_pattern: str,
+    repo_slug: str = "DataDog/system-tests-dashboard",
+    workflow_file: str = "nightly.yml",
+    branch: str = "main",
+):
+    environ = get_environ()
+    gh_token = environ["GH_TOKEN"]
+    headers = {"Authorization": f"token {gh_token}"}
+
+    url = f"https://api.github.com/repos/{repo_slug}/actions/workflows/{workflow_file}/runs?"
+
+    params = {"per_page": 100}
+
+    if branch:
+        params["branch"] = branch
+
+    data = get_json(url, headers=headers, params=params)
+    workflows = data.get("workflow_runs", [])
+
+    # sort to get the latest
+    workflows = sorted(workflows, key=lambda w: w["created_at"], reverse=True)
+
+    for workflow in workflows:
+        workflow_id = workflow["id"]
+        for attempt in range(1, workflow["run_attempt"] + 1):
+            workflow_url = f"https://github.com/{repo_slug}/actions/runs/{workflow_id}/attempts/{attempt}"
+
+            logging.info(f"Workflow #{workflow['run_number']}-{attempt} {workflow['created_at']} {workflow_url}")
+
+            jobs_url = f"https://api.github.com/repos/{repo_slug}/actions/runs/{workflow_id}/attempts/{attempt}/jobs"
+            params = {"per_page": 100, "page": 1}
+
+            jobs = get_json(jobs_url, headers=headers, params=params)
+
+            while len(jobs["jobs"]) < jobs["total_count"]:
+                params["page"] += 1
+                jobs["jobs"] += get_json(jobs_url, headers=headers, params=params)["jobs"]
+
+            for job in jobs["jobs"]:
+                job_name = job["name"]
+                if "artifact" in job_name or language not in job_name:
+                    continue
+
+                job_id = job["id"]
+                response = requests.get(
+                    f"https://api.github.com/repos/{repo_slug}/actions/jobs/{job_id}/logs", headers=headers, timeout=60
+                )
+                content = response.content.decode("utf-8")
+
+                if log_pattern in content:
+                    logging.info(f"    ✅ Found pattern in {job_name} -> {job['html_url']}")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(prog="grep-nightly-logs", description="Grep into nightly logs to find a pattern",)
+    parser.add_argument(
+        "language",
+        type=str,
+        help="One of the supported Datadog languages",
+        choices=["cpp", "dotnet", "python", "ruby", "golang", "java", "nodejs", "php"],
+    )
+    parser.add_argument("pattern", type=str, help="Exact pattern to search for in the logs")
+    args = parser.parse_args()
+
+    main(language=args.language, log_pattern=args.pattern)