Scrapers

Scrapers let you write short Python or Node.js scripts that fetch data from websites and APIs, produce CSV output, and optionally feed that output straight into the TimeTiles ingestion pipeline. Events appear on the map without any manual file handling.

Architecture

The scraper system has two parts:

TimeTiles (apps/web)                    TimeScrape Runner (apps/timescrape)
+--------------------------+            +------------------------+
| Payload Collections:     |            |  POST /run             |
|  scraper-repos           |   API      |    |                   |
|  scrapers                |   key      |  Podman container      |
|  scraper-runs            |----------->|  (rootless, hardened)  |
|                          |            |    |                   |
| Payload Jobs:            |<-----------|  Returns: CSV + logs   |
|  scraper-execution-job   |            +------------------------+
|  scraper-repo-sync-job   |
|                          |            Stateless. No DB. No users.
| Ingestion Pipeline:      |            Just an API key + Podman.
|  scraper CSV -> ingest   |
|  -> existing pipeline    |
+--------------------------+

The runner is an optional deployment target. If you do not need scraping, skip it entirely. The main TimeTiles application works without it.

Feature Flag

Scraper functionality is gated behind the enableScrapers feature flag, which is off by default. Enable it in the admin panel at Settings > Feature Flags.

When the flag is off:

• Users cannot create scraper repos.
• Queued scraper execution jobs return immediately without running.

Quick Start

1. Enable the feature flag

Log in as an admin. Go to Settings in the Payload dashboard and enable enableScrapers.

2. Add runner connection details

Set two environment variables in your TimeTiles .env file:

SCRAPER_RUNNER_URL=http://localhost:4000
SCRAPER_API_KEY=your-secret-key-at-least-16-chars

The SCRAPER_API_KEY value must match the key configured on the runner. See Deployment for full runner setup.

3. Scaffold a new scraper

Use the CLI tool to create a new scraper project:

npx @timetiles/scraper init my-scraper              # Python (default)
npx @timetiles/scraper init my-scraper --runtime node

This creates a my-scraper/ directory with a scrapers.yml manifest, a starter entrypoint script, .gitignore, and a README.md.

4. Create a scraper repo

In the Payload dashboard, go to Scrapers > Scraper Repos and create a new repo.

Git source: Point to a GitHub repository that contains a scrapers.yml manifest and your scraper scripts.

Upload source: Paste your scraper code directly as a JSON map of filenames to content.

When you save the repo, TimeTiles automatically syncs the manifest and creates scraper records.

5. Write a scraper

Create a Python script that uses the timetiles.scraper helper:

import requests
from timetiles.scraper import output
 
response = requests.get(
    "https://date.nager.at/api/v3/PublicHolidays/2026/DE",
    timeout=30,
)
response.raise_for_status()
 
for holiday in response.json():
    output.write_row({
        "title": holiday["localName"],
        "date": holiday["date"],
        "location": "Germany",
        "description": holiday.get("name", ""),
    })
 
output.save()
print(f"Scraped {output.row_count} events")

Add a scrapers.yml manifest at the root of the repo:

scrapers:
  - name: "German Holidays"
    slug: german-holidays
    runtime: python
    entrypoint: scraper.py
    output: data.csv

6. Trigger a run

Use the manual trigger API:

curl -X POST https://your-timetiles-instance/api/scrapers/{id}/run \
  -H "Authorization: Bearer YOUR_TOKEN"

Or enable a cron schedule in the manifest to run automatically.

7. View results

After a successful run, check the scraper’s run history in the dashboard or the Scrapers tab at /account/imports?tab=scrapers. If autoImport is enabled and a targetDataset is configured, the CSV flows through the standard ingestion pipeline and events appear on the map.

Management UI

Users manage scrapers in the Scrapers tab at /account/imports?tab=scrapers. The old /account/scrapers URL redirects there. The page shows:

• A table of scrapers with repository, last run status, runtime, schedule, and last run time
• Repository synchronization errors, including repositories with no scrapers
• Actions to sync a repository, trigger a run, or delete a repository
• Expandable run history with status, duration, errors, and links to dashboard records for full details

Manual repository synchronization refreshes the lists after the background sync finishes. Run stdout/stderr logs are available in the dashboard records, not in an inline log viewer.

Scraper Repos

A scraper repo is a container for source code. It holds either a Git URL or uploaded code, plus a scrapers.yml manifest that declares one or more scrapers.

Source Types

For git repos, the runner performs a shallow clone (--depth 1) at execution time. Maximum clone size is configurable (default 50 MB).

For upload repos, the code map is sent directly to the runner’s /run endpoint. Filenames cannot contain .. or start with / (path traversal is rejected).

Auto-Sync

When you create or update a scraper repo, TimeTiles automatically queues a sync job that:

1. Reads the scrapers.yml manifest from the repo root
2. Validates it against the manifest schema
3. Creates, updates, or deletes scraper records to match the manifest

If the git URL, branch, or uploaded code changes, a new sync runs automatically.

Force Sync

To re-sync a repo on demand:

curl -X POST https://your-timetiles-instance/api/scraper-repos/{id}/sync \
  -H "Authorization: Bearer YOUR_TOKEN"

The scrapers.yml Manifest

Every scraper repo needs a scrapers.yml file at its root. This manifest declares the scrapers in the repo and their configuration.

Minimal Example

scrapers:
  - name: "My Scraper"
    slug: my-scraper
    entrypoint: scraper.py

Full Example

scrapers:
  - name: "German Holidays"
    slug: german-holidays
    runtime: python
    entrypoint: scrapers/germany.py
    output: output/germany.csv
    schedule: "0 6 * * 1"
    limits:
      timeout: 120
      memory: 256
 
  - name: "Austrian Holidays"
    slug: austrian-holidays
    runtime: python
    entrypoint: scrapers/austria.py
    output: output/austria.csv
    schedule: "0 6 * * 1"
 
defaults:
  runtime: python
  limits:
    timeout: 120
    memory: 256

Schema Reference

Top-level fields

Scraper entry fields

Defaults block

Individual scraper fields always take precedence over defaults.

Helper Libraries

Each runtime ships with a helper library that handles CSV output. You do not need to write CSV formatting code yourself.

Python: timetiles.scraper

from timetiles.scraper import output
 
# Write rows one at a time
output.write_row({"title": "Event", "date": "2026-01-01", "location": "Berlin"})
output.write_row({"title": "Concert", "date": "2026-02-01", "location": "Munich"})
 
# Or write many rows at once
output.write_rows([
    {"title": "Festival", "date": "2026-03-01", "location": "Hamburg"},
    {"title": "Meetup", "date": "2026-04-01", "location": "Cologne"},
])
 
# Save to the output file (required -- nothing is written until you call save)
output.save()
 
# Check how many rows were collected
print(f"Wrote {output.row_count} rows")

API:

Pre-installed Python libraries:

• requests — HTTP client
• beautifulsoup4 — HTML parsing
• lxml — Fast XML/HTML parser
• pandas — Data manipulation
• cssselect — CSS selector support for lxml

Node.js: @timetiles/scraper

import { output } from "@timetiles/scraper";
 
output.writeRow({ title: "Event", date: "2026-01-01", location: "Berlin" });
output.writeRow({ title: "Concert", date: "2026-02-01", location: "Munich" });
 
output.save();
console.log(`Wrote ${output.rowCount} rows`);

API:

Pre-installed Node.js libraries:

• cheerio — HTML parsing with jQuery-like API
• axios — HTTP client

Scheduling

Cron Expressions

Set the schedule field in scrapers.yml to a standard five-field cron expression:

scrapers:
  - name: "Daily Scraper"
    slug: daily-scraper
    entrypoint: scraper.py
    schedule: "0 6 * * *" # Every day at 06:00 UTC

Common patterns:

How Scheduling Works

The schedule-manager job (which also handles scheduled URL imports) checks enabled scrapers every minute. When a scraper is due, it queues the scraper-ingest workflow on the ingest queue. The workflow runs the scraper-execution task and, when auto-import produces an ingest file, detects its sheets and runs the import pipeline.

Guards prevent duplicate runs:

• If a scraper’s lastRunStatus is "running", no new run is queued.
• Stuck jobs (running longer than expected) are cleaned up automatically.

The minimum effective schedule interval is one minute, matching the check frequency.

Manual Triggers

Trigger a scraper run via the API:

curl -X POST https://your-timetiles-instance/api/scrapers/{id}/run \
  -H "Authorization: Bearer YOUR_TOKEN"

Webhook Triggers

Enable webhook triggers on a scraper to get a unique URL that starts a run when called:

1. In the scraper settings, enable Webhook Enabled.
2. A unique webhook URL is generated automatically. Copy it immediately: the plaintext token is returned only when created or rotated; only its hash is stored.
3. POST to that URL to trigger a run:

curl -X POST https://your-timetiles-instance/api/webhooks/trigger/{token}

No authentication header is needed — the token in the URL serves as the credential. Tokens are 64-character hex strings generated with crypto.randomBytes(32).

The webhook endpoint is shared with scheduled imports. The system resolves the token to the correct resource type automatically.

If you disable and re-enable the webhook, the token is rotated for security.

Auto-Import

When a scraper has autoImport enabled, successful runs with a downloadable CSV containing at least one data row feed into the TimeTiles import pipeline. A targetDataset is optional.

How It Works

1. Scraper runs and produces CSV output.
2. The scraper-execution task downloads the CSV from the runner’s output URL, using the configured runner API key when required.
3. An ingest-files record is created from the CSV data.
4. The standard import pipeline takes over: schema detection, validation, geocoding, event creation.
5. Events appear on the map.

The scraper-ingest workflow processes the resulting file through the shared import pipeline.

Configuration

Set these fields on the scraper record (via the manifest or the admin UI):

• targetDataset: Optional existing dataset to import events into. When omitted, the import pipeline uses its normal dataset detection.
• autoImport: Must be true to enable the pipeline.

When autoImport is disabled, no ingest file is created automatically. Successful zero-row runs are recorded as successful but skip the import pipeline.

API Reference

POST /api/scrapers/{id}/run

Trigger a manual scraper run.

Authentication: Bearer token (authenticated user with access to the scraper).

Response: 200 OK with { "message": "Scraper run queued" }.

POST /api/scraper-repos/{id}/sync

Force a manifest sync for a scraper repo. Re-reads scrapers.yml and updates scraper records.

Authentication: Bearer token (repo owner or admin).

Response: 200 OK when the sync job is queued.

POST /api/webhooks/trigger/{token}

Trigger a scraper (or scheduled import) via webhook token.

Authentication: None — the token in the URL is the credential.

Response: 200 OK if the run was queued, 404 if the token is invalid or the webhook is disabled.

Runner API (internal)

These endpoints are on the TimeScrape runner (default port 4000) and are called by TimeTiles, not by end users.

All endpoints except /health require Authorization: Bearer {SCRAPER_API_KEY}.

POST /run Request Body

{
  "run_id": "550e8400-e29b-41d4-a716-446655440000",
  "runtime": "python",
  "entrypoint": "scraper.py",
  "output_file": "data.csv",
  "code_url": "https://github.com/user/repo.git#main",
  "env": { "API_KEY": "..." },
  "limits": { "timeout_secs": 300, "memory_mb": 512 }
}

POST /run Response

{
  "status": "success",
  "exit_code": 0,
  "duration_ms": 4523,
  "stdout": "Scraped 12 events\n",
  "stderr": "",
  "output": { "rows": 12, "bytes": 1847, "content_base64": "dGl0bGUsZGF0ZSxsb2NhdGlvbi4uLg==" }
}

The output field is present only when the scraper produced a valid CSV file. The status field is one of "success", "failed", or "timeout".

Quotas and Permissions

Trust Levels

Scraper access requires trust level 3 (Trusted) or higher:

Quota Limits

Quota checks happen at two points:

• Repo creation: The SCRAPER_REPOS quota is checked in the beforeChange hook.
• Run execution: The SCRAPER_RUNS_PER_DAY quota is checked before calling the runner.

Daily quotas reset at midnight UTC.

Feature Flag

The enableScrapers feature flag must be enabled for any scraper functionality to work. When disabled, the create access control on scraper-repos returns false and the execution job exits immediately.

Security Model

Scraper code is user-authored and potentially untrusted. The system uses defense-in-depth container isolation to minimize risk.

Container Isolation

Every scraper runs inside a Podman rootless container with the following hardening layers:

Filesystem Layout Inside the Container

No Dependency Installation

Scrapers can only use pre-installed libraries. There is no pip install, no npm install, no network access to package registries during execution. This prevents supply chain attacks and ensures reproducible execution.

To add a new library, rebuild the base image and redeploy the runner.

Network Isolation

Scraper containers run on the scraper-sandbox Podman network. This network allows outbound internet access (so scrapers can fetch web pages) but cannot reach internal services such as PostgreSQL, the TimeTiles web app, or the runner API.

API Key Security

The SCRAPER_API_KEY is the sole authentication mechanism between TimeTiles and the runner. If compromised, an attacker could submit code for container execution (within the hardening limits above). Rotate the key periodically and store it securely.

Data Model

Three Payload CMS collections store scraper data:

scraper-repos (1) --> scrapers (N) --> scraper-runs (N)

scraper-repos

Source code repositories. Fields: name, slug, sourceType (git/upload), gitUrl, gitBranch, code, catalog, createdBy, sync status fields.

scrapers

Individual scraper definitions. Fields: name, slug, repo, runtime, entrypoint, outputFile, schedule, enabled, envVars, timeoutSecs, memoryMb, targetDataset, autoImport, runtime stats, webhook fields.

scraper-runs

Execution history. Fields: scraper, status (queued/running/success/failed/timeout), triggeredBy (schedule/manual/webhook), timing fields, exitCode, stdout, stderr, error, output metrics, resultFile.

Related Documentation

• Writing Scrapers — Detailed guide for scraper authors
• Deployment — Setting up the TimeScrape runner
• Configuration — Environment variables reference
• Usage Limits — Full quota system documentation