Batch Processing

Overview

Batch processing lets you run the same API endpoint against multiple inputs — from a file or stdin — with parallel execution, rate limiting, and configurable error handling.

Basic Syntax

anysite api <endpoint> --from-file <file> --input-key <key> [OPTIONS]

Input Sources

From File

Provide a list of inputs in a text file (one per line):

# users.txt
satyanadella
jeffweiner08
billgates

anysite api /api/linkedin/user --from-file users.txt --input-key user

From CSV/JSON Files

Batch from structured files — the CLI auto-detects the format:

# From CSV (uses specified column)
anysite api /api/linkedin/company --from-file companies.csv --input-key company

# From JSONL (uses specified field)
anysite api /api/linkedin/user --from-file users.jsonl --input-key user

From Stdin

Pipe data directly from other commands:

cat urls.txt | anysite api /api/linkedin/user --input-key user --stdin

# Chain with other CLI commands
anysite api /api/linkedin/search/users keywords="CTO" count=50 -q --format jsonl | \
  jq -r '.urn.value' | \
  anysite api /api/linkedin/user --input-key user --stdin

Parallel Execution

Control the number of concurrent workers:

anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5

Higher parallelism increases throughput but also API token consumption. Start with 3-5 workers and adjust based on your plan limits.

Rate Limiting

Set a maximum request rate to stay within limits:

anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 --rate-limit "10/s"

Rate limit formats:

10/s — 10 requests per second
100/m — 100 requests per minute

Error Handling

Configure behavior when individual requests fail:

anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --on-error skip

Strategy	Behavior
`stop`	Stop the entire batch on first error (default)
`skip`	Skip the failed input and continue with the rest
`retry`	Retry failed requests with exponential backoff

Progress and Statistics

Progress Tracking

Show a real-time progress bar:

anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 --progress

Batch Statistics

Display summary statistics after completion:

anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 --stats

Output includes total processed, succeeded, failed, and elapsed time.

Output Options

All output format options work with batch processing:

# Save batch results to CSV
anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 --format csv --output results.csv

# JSONL for streaming
anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 --format jsonl --output results.jsonl

# Quiet mode for piping
anysite api /api/linkedin/user --from-file users.txt --input-key user \
  --parallel 5 -q --format jsonl | anysite db insert mydb --table profiles --stdin

Complete Example

Enrich a list of LinkedIn profiles with parallel processing, rate limiting, and error recovery:

anysite api /api/linkedin/user \
  --from-file linkedin_urls.txt \
  --input-key user \
  --parallel 5 \
  --rate-limit "10/s" \
  --on-error skip \
  --progress \
  --stats \
  --format csv \
  --output enriched_profiles.csv

Options Reference

Option	Description
`--from-file`	Input file path (TXT, CSV, JSON, JSONL)
`--input-key`	Parameter name to map each input value to
`--stdin`	Read inputs from stdin instead of file
`--parallel`	Number of concurrent workers (default: 1)
`--rate-limit`	Maximum request rate (e.g., `10/s`, `100/m`)
`--on-error`	Error handling: `stop`, `skip`, `retry` (default: `stop`)
`--progress`	Show real-time progress bar
`--stats`	Display batch statistics after completion

Get Started

Anysite CLI

MCP Server

n8n Nodes

Claude Skills

Case Studies

Legal

Overview

Basic Syntax

Input Sources

From File

From CSV/JSON Files

From Stdin

Parallel Execution

Rate Limiting

Error Handling

Progress and Statistics

Progress Tracking

Batch Statistics

Output Options

Complete Example

Options Reference

Next Steps

Dataset Pipelines

Database Loading

​Overview

​Basic Syntax

​Input Sources

​From File

​From CSV/JSON Files

​From Stdin

​Parallel Execution

​Rate Limiting

​Error Handling

​Progress and Statistics

​Progress Tracking

​Batch Statistics

​Output Options

​Complete Example

​Options Reference

​Next Steps

Dataset Pipelines

Database Loading

Overview

Basic Syntax

Input Sources

From File

From CSV/JSON Files

From Stdin

Parallel Execution

Rate Limiting

Error Handling

Progress and Statistics

Progress Tracking

Batch Statistics

Output Options

Complete Example

Options Reference

Next Steps