HTTP Data Connector
Works with v2.0+
The HTTP(s) data connector enables querying data from HTTP(s) endpoints such as REST APIs. The connector supports dynamic query construction and data refresh through SQL-based filtering, making it ideal for integrating external APIs and web-hosted datasets into your Spice application.
This recipe demonstrates how to use the HTTP connector with the TVMaze API (opens in a new tab) to query TV show information using dynamic endpoint routing.
Pre-requisites
Configuration
The HTTP connector supports two configuration approaches:
- Direct URL to a file: A complete URL pointing to a specific file (e.g.,
https://github.com/user/repo/raw/main/data.csv)
- Base domain/path: A base URL combined with special metadata fields to construct requests dynamically
This recipe uses approach #2 with the TVMaze API to demonstrate dynamic endpoint routing.
Special Metadata Fields
The HTTP connector supports three special metadata fields for dynamic request construction:
| Field Name | Description | Example |
|---|
request_path | URL path to append to the base URL | /shows/169 |
request_query | Query parameters to append to the URL (formatted as key1=value1&key2=value2) | q=michael&limit=10 |
request_body | Request body for POST/PUT requests (triggers POST method when provided) | {"name":"example"} |
These fields allow you to query different endpoints and pass parameters dynamically through SQL queries.
Example: Querying TVMaze API for TV Shows
Step 1. Review the spicepod.yaml configuration file in this directory.
The configuration uses a base URL approach, allowing dynamic routing to different API endpoints:
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
client_timeout: 30s
allowed_request_paths: "/shows/**,/search/people"
request_query_filters: enabled
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
client_timeout: 30s
allowed_request_paths: "/shows/**,/search/people"
request_query_filters: enabled
from: The base URL for the TVMaze API. The connector will append paths and query parameters to this base.file_format: Specifies that the API returns JSON data.client_timeout: Maximum time to wait for a response (default: 30s).
The HTTP connector automatically exposes special metadata fields (request_path, request_query, request_body) for dynamic routing.
For more configuration options, see the HTTP Data Connector documentation (opens in a new tab).
Common HTTP Connector Parameters
| Parameter | Description | Default |
|---|
file_format | Format of data returned (json, csv, parquet, etc.) | Auto-detect |
client_timeout | Maximum time to wait for a response | 30s |
connect_timeout | Timeout for establishing connections | 10s |
http_username | Username for HTTP Basic authentication | None |
http_password | Password for HTTP Basic authentication (use secret stores for production) | None |
http_headers | Custom HTTP headers as comma-separated key:value pairs | None |
pool_max_idle_per_host | Maximum idle connections to keep alive per host | 10 |
max_retries | Maximum retry attempts for failed requests | 3 |
retry_backoff_method | Retry strategy: fibonacci, linear, or exponential | fibonacci |
Step 2. Run the Spice runtime with spice run from this directory.
Example output:
INFO Spice.ai runtime starting...
2026-09-05T21:54:00.787858Z INFO spiced: Starting runtime v2.2.1+models.metal
...
2026-09-05T21:54:00.793801Z INFO runtime::init::caching: Initialized sql results cache; max size: 128.00 MiB, item ttl: 1s, hashing algorithm: XXH3, encoding: none
2026-09-05T21:54:00.793829Z INFO runtime::init::caching: Initialized search results cache; max size: 128.00 MiB, item ttl: 1s, engine: Moka
2026-09-05T21:54:00.793839Z INFO runtime::init::caching: Initialized embeddings cache; max size: 128.00 MiB, item ttl: 1s, engine: Moka
2026-09-05T21:54:00.795378Z INFO runtime::init::task_history: Task history enabled: retention_period=28800s, retention_check_interval=900s
2026-09-05T21:54:00.795492Z INFO runtime::init::dataset: Loading datasets: 2 tasks dispatched, 0 skipped at accelerator init (of 2 total; localpod datasets may be chained).
2026-09-05T21:54:00.795515Z INFO runtime::init::dataset: Dataset tvmaze initializing...
2026-09-05T21:54:00.795825Z INFO runtime::init::dataset: Dataset products initializing...
2026-09-05T21:54:00.799774Z INFO runtime::init::dataset: Dataset products registered (https://dummyjson.com/products), results cache enabled. duration_ms=0
2026-09-05T21:54:00.799774Z INFO runtime::init::dataset: Dataset tvmaze registered (https://api.tvmaze.com), results cache enabled. duration_ms=0
2026-09-05T21:54:00.901507Z INFO runtime: All components are loaded. Spice runtime is ready!
2026-09-05T21:54:00.994991Z INFO runtime::flight: Spice Runtime Flight listening on 127.0.0.1:50051
2026-09-05T21:54:00.995358Z INFO runtime::http: Spice Runtime HTTP listening on 127.0.0.1:8090
INFO Spice.ai runtime starting...
2026-09-05T21:54:00.787858Z INFO spiced: Starting runtime v2.2.1+models.metal
...
2026-09-05T21:54:00.793801Z INFO runtime::init::caching: Initialized sql results cache; max size: 128.00 MiB, item ttl: 1s, hashing algorithm: XXH3, encoding: none
2026-09-05T21:54:00.793829Z INFO runtime::init::caching: Initialized search results cache; max size: 128.00 MiB, item ttl: 1s, engine: Moka
2026-09-05T21:54:00.793839Z INFO runtime::init::caching: Initialized embeddings cache; max size: 128.00 MiB, item ttl: 1s, engine: Moka
2026-09-05T21:54:00.795378Z INFO runtime::init::task_history: Task history enabled: retention_period=28800s, retention_check_interval=900s
2026-09-05T21:54:00.795492Z INFO runtime::init::dataset: Loading datasets: 2 tasks dispatched, 0 skipped at accelerator init (of 2 total; localpod datasets may be chained).
2026-09-05T21:54:00.795515Z INFO runtime::init::dataset: Dataset tvmaze initializing...
2026-09-05T21:54:00.795825Z INFO runtime::init::dataset: Dataset products initializing...
2026-09-05T21:54:00.799774Z INFO runtime::init::dataset: Dataset products registered (https://dummyjson.com/products), results cache enabled. duration_ms=0
2026-09-05T21:54:00.799774Z INFO runtime::init::dataset: Dataset tvmaze registered (https://api.tvmaze.com), results cache enabled. duration_ms=0
2026-09-05T21:54:00.901507Z INFO runtime: All components are loaded. Spice runtime is ready!
2026-09-05T21:54:00.994991Z INFO runtime::flight: Spice Runtime Flight listening on 127.0.0.1:50051
2026-09-05T21:54:00.995358Z INFO runtime::http: Spice Runtime HTTP listening on 127.0.0.1:8090
The elided lines report the CPU and memory budgets the runtime derives for this host, so their values differ from machine to machine.
Step 3. Run spice sql in a new terminal to start an interactive SQL query session.
For more information on using spice sql, see the CLI reference (opens in a new tab).
Step 4. Execute queries to explore the TVMaze API:
Query a specific show by ID
SELECT * FROM tvmaze WHERE request_path = '/shows/169';
SELECT * FROM tvmaze WHERE request_path = '/shows/169';
This queries the Breaking Bad show details. The content column contains the full JSON response:
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
| request_path | request_query | request_body | content | response_status | response_headers | _fetched_at |
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
| /shows/169 | | | {"id":169,"url":"https://www.tvmaze.com/shows/169/breaking-bad","name":"Breaking Bad","type":"Scripted","language":"English","genres":["Drama","Crime","Thriller"],"status":"Ended","runtime":60,"averageRuntime":60,"premiered":"2008-01-20","ended":"2019-10-11","officialSite":"http://www.amc.com/shows/breaking-bad","schedule":{"time":"22:00","days":["Sunday"]},"rating":{"average":9.2},"weight":99,"network":{"id":20,"name":"AMC","country":{"name":"United States","code":"US","timezone":"America/New_York"},"officialSite":null},"webChannel":null,"dvdCountry":null,"externals":{"tvrage":18164,"thetvdb":81189,"imdb":"tt0903747"},"image":{"medium":"https://static.tvmaze.com/uploads/images/medium_portrait/501/1253519.jpg","original":"https://static.tvmaze.com/uploads/images/original_untouched/501/1253519.jpg"},"summary":"<p><b>Breaking Bad</b> follows protagonist Walter White, a chemistry teacher who lives in New Mexico with his wife and teenage son who has cerebral palsy. White is diagnosed with Stage III cancer and given a prognosis of two years left to live. With a new sense of fearlessness based on his medical prognosis, and a desire to secure his family's financial security, White chooses to enter a dangerous world of drugs and crime and ascends to power in this world. The series explores how a fatal diagnosis such as White's releases a typical man from the daily concerns and constraints of normal society and follows his transformation from mild family man to a kingpin of the drug trade.</p>","updated":1769198028,"_links":{"self":{"href":"https://api.tvmaze.com/shows/169"},"previousepisode":{"href":"https://api.tvmaze.com/episodes/2007806","name":"El Camino: A Breaking Bad Movie"}}} | 200 | {server: nginx/1.24.0 (Ubuntu), date: Mon, 09 Mar 2026 08:45:28 GMT, content-type: application/json; charset=UTF-8, transfer-encoding: chunked, connection: keep-alive, vary: Accept-Encoding, access-control-allow-origin: *, cache-control: public, max-age=3600} | 2026-03-09T08:45:28 |
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
Time: 0.108725875 seconds. 1 rows.
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
| request_path | request_query | request_body | content | response_status | response_headers | _fetched_at |
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
| /shows/169 | | | {"id":169,"url":"https://www.tvmaze.com/shows/169/breaking-bad","name":"Breaking Bad","type":"Scripted","language":"English","genres":["Drama","Crime","Thriller"],"status":"Ended","runtime":60,"averageRuntime":60,"premiered":"2008-01-20","ended":"2019-10-11","officialSite":"http://www.amc.com/shows/breaking-bad","schedule":{"time":"22:00","days":["Sunday"]},"rating":{"average":9.2},"weight":99,"network":{"id":20,"name":"AMC","country":{"name":"United States","code":"US","timezone":"America/New_York"},"officialSite":null},"webChannel":null,"dvdCountry":null,"externals":{"tvrage":18164,"thetvdb":81189,"imdb":"tt0903747"},"image":{"medium":"https://static.tvmaze.com/uploads/images/medium_portrait/501/1253519.jpg","original":"https://static.tvmaze.com/uploads/images/original_untouched/501/1253519.jpg"},"summary":"<p><b>Breaking Bad</b> follows protagonist Walter White, a chemistry teacher who lives in New Mexico with his wife and teenage son who has cerebral palsy. White is diagnosed with Stage III cancer and given a prognosis of two years left to live. With a new sense of fearlessness based on his medical prognosis, and a desire to secure his family's financial security, White chooses to enter a dangerous world of drugs and crime and ascends to power in this world. The series explores how a fatal diagnosis such as White's releases a typical man from the daily concerns and constraints of normal society and follows his transformation from mild family man to a kingpin of the drug trade.</p>","updated":1769198028,"_links":{"self":{"href":"https://api.tvmaze.com/shows/169"},"previousepisode":{"href":"https://api.tvmaze.com/episodes/2007806","name":"El Camino: A Breaking Bad Movie"}}} | 200 | {server: nginx/1.24.0 (Ubuntu), date: Mon, 09 Mar 2026 08:45:28 GMT, content-type: application/json; charset=UTF-8, transfer-encoding: chunked, connection: keep-alive, vary: Accept-Encoding, access-control-allow-origin: *, cache-control: public, max-age=3600} | 2026-03-09T08:45:28 |
+--------------+---------------+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+
Time: 0.108725875 seconds. 1 rows.
Search for people using query parameters
SELECT * FROM tvmaze
WHERE request_path = '/search/people'
AND request_query = 'q=michael';
SELECT * FROM tvmaze
WHERE request_path = '/search/people'
AND request_query = 'q=michael';
This searches the TVMaze API for people named "michael". Returns 10 results by default.
Query multiple search terms
SELECT * FROM tvmaze
WHERE request_path = '/search/people'
AND request_query IN ('q=michael', 'q=luke');
SELECT * FROM tvmaze
WHERE request_path = '/search/people'
AND request_query IN ('q=michael', 'q=luke');
This executes two separate API calls (one for each query parameter) and combines the results — 10 results per search term, for 20 rows in total:
+----------------+---------------+--------------+------------------------------------+
| request_path | request_query | request_body | content |
+----------------+---------------+--------------+------------------------------------+
| /search/people | q=michael | | {"score":0.70710677,"person":{...}}|
| /search/people | q=michael | | {"score":0.70710677,"person":{...}}|
| ... | ... | ... | ... |
| /search/people | q=luke | | {"score":0.5,"person":{...}} |
| /search/people | q=luke | | {"score":0.5,"person":{...}} |
+----------------+---------------+--------------+------------------------------------+
Time: 0.336182833 seconds. 20 rows.
+----------------+---------------+--------------+------------------------------------+
| request_path | request_query | request_body | content |
+----------------+---------------+--------------+------------------------------------+
| /search/people | q=michael | | {"score":0.70710677,"person":{...}}|
| /search/people | q=michael | | {"score":0.70710677,"person":{...}}|
| ... | ... | ... | ... |
| /search/people | q=luke | | {"score":0.5,"person":{...}} |
| /search/people | q=luke | | {"score":0.5,"person":{...}} |
+----------------+---------------+--------------+------------------------------------+
Time: 0.336182833 seconds. 20 rows.
Advanced Usage
Processing JSON Responses
TVMaze API responses contain nested JSON. Use JSON functions (opens in a new tab) to extract specific fields:
-- Extract show details from JSON response
SELECT
json_get_str(content, 'name') as show_name,
json_get_str(content, 'type') as show_type,
json_get_int(content, 'runtime') as runtime_minutes,
json_get_str(content, 'status') as status
FROM tvmaze
WHERE request_path = '/shows/169';
-- Extract show details from JSON response
SELECT
json_get_str(content, 'name') as show_name,
json_get_str(content, 'type') as show_type,
json_get_int(content, 'runtime') as runtime_minutes,
json_get_str(content, 'status') as status
FROM tvmaze
WHERE request_path = '/shows/169';
For deeply nested fields, chain JSON functions:
-- Extract network information from nested JSON
SELECT
json_get_str(content, 'name') as show_name,
json_get_str(json_get(content, 'network'), 'name') as network_name,
json_get_str(json_get(json_get(content, 'network'), 'country'), 'code') as country_code
FROM tvmaze
WHERE request_path = '/shows/82';
-- Extract network information from nested JSON
SELECT
json_get_str(content, 'name') as show_name,
json_get_str(json_get(content, 'network'), 'name') as network_name,
json_get_str(json_get(json_get(content, 'network'), 'country'), 'code') as country_code
FROM tvmaze
WHERE request_path = '/shows/82';
Pagination
The HTTP connector supports automatic pagination for REST APIs that return data across multiple pages. This recipe includes a second dataset that demonstrates query-parameter pagination with the DummyJSON Products API (opens in a new tab).
Configuration
The products dataset in spicepod.yaml uses query-parameter pagination:
datasets:
- from: https://dummyjson.com/products
name: products
params:
pagination: enabled
pagination_query_params: "skip={offset}&limit={limit}"
pagination_page_size: "30"
pagination_data_pointer: "/products"
pagination_max_pages: "10"
datasets:
- from: https://dummyjson.com/products
name: products
params:
pagination: enabled
pagination_query_params: "skip={offset}&limit={limit}"
pagination_page_size: "30"
pagination_data_pointer: "/products"
pagination_max_pages: "10"
pagination: enabled — Turns on pagination.pagination_query_params — Template with {offset} and {limit} variables. Spice expands these automatically for each page (skip=0&limit=30, skip=30&limit=30, …).pagination_page_size — Number of items per page. Also determines when to stop: if a page returns fewer rows than this value, pagination is complete.pagination_max_pages — Safety limit on the number of pages to fetch.
Querying Paginated Data
Count all products fetched across pages:
SELECT count(*) FROM products;
SELECT count(*) FROM products;
+----------+
| count(*) |
| int64 |
+----------+
| 194 |
+----------+
+----------+
| count(*) |
| int64 |
+----------+
| 194 |
+----------+
All 194 products are returned transparently — Spice fetches 7 pages (30 items each, except the last page with 14) and combines them into a single result set.
Inspect products and observe how request_query changes as rows span pages:
SELECT request_query,
json_get_str(content, 'title') AS title,
json_get_float(content, 'price') AS price
FROM products
LIMIT 35;
SELECT request_query,
json_get_str(content, 'title') AS title,
json_get_float(content, 'price') AS price
FROM products
LIMIT 35;
+------------------+-------------------------------------------+---------+
| request_query | title | price |
| varchar | varchar | float64 |
+------------------+-------------------------------------------+---------+
| skip=0&limit=30 | Essence Mascara Lash Princess | 9.99 |
| skip=0&limit=30 | Eyeshadow Palette with Mirror | 19.99 |
| skip=0&limit=30 | Powder Canister | 14.99 |
| skip=0&limit=30 | Red Lipstick | 12.99 |
| skip=0&limit=30 | Red Nail Polish | 8.99 |
| ... | ... | ... |
| skip=0&limit=30 | Kiwi | 2.49 |
| skip=30&limit=30 | Lemon | 0.79 |
| skip=30&limit=30 | Milk | 3.49 |
| skip=30&limit=30 | Mulberry | 4.99 |
| skip=30&limit=30 | Nescafe Coffee | 7.99 |
| skip=30&limit=30 | Potatoes | 2.29 |
+------------------+-------------------------------------------+---------+
+------------------+-------------------------------------------+---------+
| request_query | title | price |
| varchar | varchar | float64 |
+------------------+-------------------------------------------+---------+
| skip=0&limit=30 | Essence Mascara Lash Princess | 9.99 |
| skip=0&limit=30 | Eyeshadow Palette with Mirror | 19.99 |
| skip=0&limit=30 | Powder Canister | 14.99 |
| skip=0&limit=30 | Red Lipstick | 12.99 |
| skip=0&limit=30 | Red Nail Polish | 8.99 |
| ... | ... | ... |
| skip=0&limit=30 | Kiwi | 2.49 |
| skip=30&limit=30 | Lemon | 0.79 |
| skip=30&limit=30 | Milk | 3.49 |
| skip=30&limit=30 | Mulberry | 4.99 |
| skip=30&limit=30 | Nescafe Coffee | 7.99 |
| skip=30&limit=30 | Potatoes | 2.29 |
+------------------+-------------------------------------------+---------+
The first 30 rows come from page 1 (skip=0&limit=30), then rows from page 2 (skip=30&limit=30) follow automatically.
For the full pagination parameter reference, see the HTTP Data Connector documentation (opens in a new tab).
Dynamic HTTP Connector Features
The HTTP connector provides powerful dynamic capabilities through special metadata fields that allow you to construct HTTP requests dynamically via SQL queries.
How It Works
When you query the dataset with filters on special metadata fields, Spice dynamically constructs HTTP requests:
-- GET request to a specific path
WHERE request_path = '/shows/169'
→ GET https://api.tvmaze.com/shows/169
-- GET request with query parameters
WHERE request_path = '/search/people' AND request_query = 'q=michael'
→ GET https://api.tvmaze.com/search/people?q=michael
-- POST request with body (automatically uses POST when request_body is provided)
WHERE request_path = '/api/endpoint' AND request_body = '{"key":"value"}'
→ POST https://api.tvmaze.com/api/endpoint (with JSON body)
-- GET request to a specific path
WHERE request_path = '/shows/169'
→ GET https://api.tvmaze.com/shows/169
-- GET request with query parameters
WHERE request_path = '/search/people' AND request_query = 'q=michael'
→ GET https://api.tvmaze.com/search/people?q=michael
-- POST request with body (automatically uses POST when request_body is provided)
WHERE request_path = '/api/endpoint' AND request_body = '{"key":"value"}'
→ POST https://api.tvmaze.com/api/endpoint (with JSON body)
Multiple values in metadata fields trigger multiple API calls that are automatically combined in the result set.
Examples with TVMaze API
Use Cases
The HTTP connector is ideal for:
- REST API Integration: Query any REST API that returns JSON, CSV, or Parquet data
- Dynamic API Exploration: Access multiple endpoints from a single dataset configuration using special metadata fields
- Search and Filter APIs: Leverage query parameters for filtering, searching, and pagination
- Incremental Data Loading: Fetch only new or updated records using dynamic filters
- Static Data Files: Access data files hosted on web servers or cloud storage
- Third-Party Data Services: Integrate external data sources without ETL pipelines
- IoT and Sensor Data: Pull real-time data from IoT devices with HTTP interfaces
- Federated Queries: Combine data from multiple HTTP sources in a single SQL query
Timeouts and Retries
The HTTP connector provides granular control over timeouts and automatic retry behavior:
Timeouts
Configure timeouts for different stages of the HTTP request:
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
client_timeout: 60s # Total time for request-response cycle
connect_timeout: 15s # Time to establish connection
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
client_timeout: 60s # Total time for request-response cycle
connect_timeout: 15s # Time to establish connection
client_timeout: Maximum time to wait for a complete HTTP response (default: 30s)connect_timeout: Maximum time to establish a connection (default: 10s)
Connection Pooling
Improve performance by configuring connection pooling:
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
pool_max_idle_per_host: 20 # Max idle connections per host (default: 10)
pool_idle_timeout: 120 # How long to keep idle connections (default: 90s)
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
pool_max_idle_per_host: 20 # Max idle connections per host (default: 10)
pool_idle_timeout: 120 # How long to keep idle connections (default: 90s)
Retries
The HTTP connector automatically retries failed requests with configurable retry behavior:
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
max_retries: 5 # Number of retry attempts (default: 3)
retry_backoff_method: exponential # fibonacci, linear, or exponential (default: fibonacci)
retry_max_duration: 2m # Total time limit for all retries
retry_jitter: 0.5 # Randomization to prevent thundering herd (default: 0.3)
datasets:
- from: https://api.tvmaze.com
name: tvmaze
params:
file_format: json
max_retries: 5 # Number of retry attempts (default: 3)
retry_backoff_method: exponential # fibonacci, linear, or exponential (default: fibonacci)
retry_max_duration: 2m # Total time limit for all retries
retry_jitter: 0.5 # Randomization to prevent thundering herd (default: 0.3)
The connector automatically retries transient failures such as network errors and 5xx server errors.
Authentication
The HTTP connector supports multiple authentication methods. While the TVMaze API is public and doesn't require authentication, here are examples for APIs that do:
HTTP Basic Authentication
For APIs requiring basic authentication:
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_username: ${secrets:TVMAZE_USERNAME}
http_password: ${secrets:TVMAZE_PASSWORD}
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_username: ${secrets:TVMAZE_USERNAME}
http_password: ${secrets:TVMAZE_PASSWORD}
Bearer Token / API Key Authentication
Use custom headers for bearer tokens or API keys:
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_headers: "Authorization:Bearer ${secrets:TVMAZE_TOKEN}"
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_headers: "Authorization:Bearer ${secrets:TVMAZE_TOKEN}"
Multiple Custom Headers
Combine multiple headers for complex authentication requirements:
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_headers: "Authorization:Bearer ${secrets:TOKEN},X-API-Key:${secrets:API_KEY},Accept:application/json"
datasets:
- from: https://api.tvmaze.com/premium
name: tvmaze_premium
params:
file_format: json
http_headers: "Authorization:Bearer ${secrets:TOKEN},X-API-Key:${secrets:API_KEY},Accept:application/json"
Always use secret stores (opens in a new tab) to manage sensitive credentials in production.
Learn More
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