Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Free Tier Scraper Apis

ASecurity

Use when building zero-cost scraping or data-enrichment pipelines on free API tiers. Covers Gemini free-tier model IDs and rate limits, the generativelanguage REST endpoint and payload, Notion API property JSON shapes, model fallback, and scraping-method choice.

2 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentspythongoapidatabasebackend

Works with

cursorapi

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add Mixard/fable-pack --skill free-tier-scraper-apis --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Free Tier Scraper Apis?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Free Tier Scraper Apis
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/mixard-free-tier-scraper-apis/badge)](https://www.skillsdirectory.com/skills/mixard-free-tier-scraper-apis)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: free-tier-scraper-apis
description: Use when building zero-cost scraping or data-enrichment pipelines on free API tiers. Covers Gemini free-tier model IDs and rate limits, the generativelanguage REST endpoint and payload, Notion API property JSON shapes, model fallback, and scraping-method choice.
---

# Free-Tier APIs for Scraper Pipelines

Reference for the common free stack: `requests`/BeautifulSoup or Playwright for collection, Gemini free tier for enrichment, Notion API for storage.

## Gemini free tier

Model IDs and free-tier limits (API key from AI Studio, no billing):

Google changes free-tier model IDs and limits frequently; treat this table as a snapshot and fetch current limits from ai.google.dev before relying on them.

| Model | RPM | RPD |
|---|---|---|
| `gemini-2.0-flash-lite` | 30 | 1500 |
| `gemini-2.0-flash` | 15 | 1500 |
| `gemini-2.5-flash` | 10 | 500 |
| `gemini-flash-lite-latest` | alias, tracks current flash-lite | - |

### REST endpoint

```
POST https://generativelanguage.googleapis.com/v1beta/models/{MODEL}:generateContent?key={API_KEY}
```

Payload for JSON-out enrichment:

```json
{
  "contents": [{"parts": [{"text": "your prompt"}]}],
  "generationConfig": {
    "responseMimeType": "application/json",
    "temperature": 0.3,
    "maxOutputTokens": 2048
  }
}
```

Response text lives at `candidates[0].content.parts[0].text`. Even with `responseMimeType: application/json` some models wrap output in ` ```json ` fences; strip them before `json.loads`. Keep `maxOutputTokens` at 2048+ for batch responses, otherwise truncated JSON fails to parse.

### Fallback chain and batching

- On HTTP 429 (quota) or 404 (model retired), retry the same prompt on the next model: `gemini-2.0-flash-lite -> gemini-2.0-flash -> gemini-2.5-flash -> gemini-flash-lite-latest`. Model IDs churn; the `-latest` alias survives retirements.
- Batch items into one prompt (about 5 per call, response as `{"analyses": [...]}` in input order) instead of one call per item; per-item calls exhaust RPM immediately.
- Self-throttle: ~7 s between calls stays under 10 RPM, safe for every model in the chain.

## Notion API property shapes

Writing rows via `pages.create(parent={"database_id": db_id}, properties=...)`. Each property type has its own JSON wrapper:

```json
{
  "Name":       {"title": [{"text": {"content": "Item name"}}]},
  "Summary":    {"rich_text": [{"text": {"content": "text, max 2000 chars per block"}}]},
  "URL":        {"url": "https://example.com/item"},
  "Status":     {"select": {"name": "New"}},
  "Tags":       {"multi_select": [{"name": "backend"}, {"name": "remote"}]},
  "Score":      {"number": 87},
  "Date Found": {"date": {"start": "2026-07-21"}},
  "Done":       {"checkbox": true}
}
```

Gotchas:
- `title` and `rich_text` are arrays of blocks; a single `text.content` block is capped at 2000 characters — truncate before writing.
- `select`/`multi_select` options are auto-created on write if the `name` is new.
- Reading back: a `url` property is at `page["properties"]["URL"]["url"]`; title text at `["Name"]["title"][0]["plain_text"]`.
- `databases.query` paginates at `page_size` max 100; loop with `start_cursor` = `next_cursor` while `has_more`. Query all existing URLs first to deduplicate before pushing.

## BeautifulSoup vs Playwright

Start with `requests` + BeautifulSoup (`lxml` parser) — it covers most public sites at zero overhead. If the response HTML is empty or missing the data, the page is JS-rendered: first check DevTools for the underlying JSON API the page calls (scraping that is faster and more stable), and only fall back to Playwright (`page.goto` + `wait_for_selector` + `page.content()`, then parse with BeautifulSoup) when no API exists. Playwright in CI needs a browser install step (`python -m playwright install chromium --with-deps`).

Attribution

MixardMixard
View sourceMore from Mixard →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

1023331 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3331 votes

catchup

Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.

611 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →