Dataify Github Builder
Collect Github Builder data and return results
dataify-server
@dataify-server
What This Skill Does
Generates a curl request for the Dataify builder API to scrape GitHub repository data. Guides the user through selecting a scraper tool, collecting parameter values, and building a properly formatted POST request with authentication.
Replaces manually constructing Dataify API requests by automating parameter collection, tool selection, and curl command generation for GitHub repository scraping.
When to Use It
- Scrape a GitHub repository's details by providing its URL
- Collect GitHub repository data from a search results page URL
- Generate a Dataify builder request for a specific GitHub scraper tool
- Build multiple scraper requests by zipping aligned parameter values
- Set up a reusable Dataify API token for automated GitHub scraping workflows
Install
$ openclaw skills install @dataify-server/dataify-github-repository-by-repo-urlDataify Builder Skill
Use this skill to prepare Dataify builder requests for the scraper family rooted at github_repository_by-repo-url on github.com.
Quick Start
Input: a GitHub repository URL.
python3 scripts/build-dataify-request.py --tool-sign github_repository_by-repo-url --params-json '[{"repo_url":"https://github.com/dataify-server/skills"}]'
This submits the task, waits for completion, downloads the final result, and returns it. Add --no-wait only when submission-only behavior is requested.
Workflow
- Check whether
DATAIFY_API_TOKENexists in the environment. - If the token is missing, stop and tell the user to sign in at Dataify Dashboard to obtain it.
- Ask the user to choose exactly one tool from the following Chinese list:
- 通过仓库URL采集 (github_repository_by-repo-url)
- 通过搜索URL采集 (github_repository_by-search-url)
- 通过URL采集 (github_repository_by-url)
- Read
references/tool-params.jsonand find the chosen tool bytool_signor Chinese tool name. - For each parameter in the chosen tool:
- If
input_modeisuser_input, ask the user for the value. - If
input_modeisselect, present the saved options to the user.
- If
- Use
scripts/build-dataify-request.pyas the default cross-platform helper. - Use
scripts/build-dataify-request.ps1as the Windows PowerShell helper when needed. - When a selectable parameter has a human-readable Chinese label, keep that label in
spider_parameters. Do not replace it with a code such asHKunless the user explicitly asks for the coded value. - Build
spider_parametersas a JSON array. - If every parameter has only one final value, build one object such as
[{"searchurl":"...","country":"Hong Kong"}]. - If one or more parameters have multiple aligned values, zip them by index and build one object per row. Example:
[{"search_url":"url1","page_turning":"1","max_num":"15"},{"search_url":"url2","page_turning":"1","max_num":"15"}]. - If a parameter has one value while another parameter has multiple values, reuse the single value across every generated row.
- Set
spider_nametogithub.com. - Set
spider_idto the selected tool'stool_sign. - Always include
spider_errors=trueandfile_name={{TasksID}}. - Return a curl command for
https://scraperapi.dataify.com/builder.
Set DATAIFY_API_TOKEN
Prefer a permanent environment-variable setup instead of setting the token only for the current terminal session.
Windows PowerShell, permanent for the current user:
[Environment]::SetEnvironmentVariable("DATAIFY_API_TOKEN", "your_token_here", "User")
Then reopen PowerShell. If the current session also needs the token immediately, run:
$env:DATAIFY_API_TOKEN = "your_token_here"
macOS or Linux, permanent for bash:
echo 'export DATAIFY_API_TOKEN="your_token_here"' >> ~/.bashrc
source ~/.bashrc
macOS or Linux, permanent for zsh:
echo 'export DATAIFY_API_TOKEN="your_token_here"' >> ~/.zshrc
source ~/.zshrc
Script usage
Python:
python scripts/build-dataify-request.py --tool-sign <selected_tool_sign> --values-file values.json
PowerShell:
& ".\scripts\build-dataify-request.ps1" -ToolSign "<selected_tool_sign>" -ValuesFile ".\values.json"
The values.json file should contain either one object or an array of objects. Example:
[{"searchurl":"https://www.airbnb.com/s/Greece/homes?...","country":"Hong Kong"}]
Required output shape
Generate a curl command in this form:
curl -X POST 'https://scraperapi.dataify.com/builder' \
-H "Authorization: Bearer $DATAIFY_API_TOKEN" \
-H 'Content-Type: application/x-www-form-urlencoded' \
-d 'spider_name=github.com' \
-d 'spider_id=<selected_tool_sign>' \
-d 'spider_parameters=[{"param":"value"}]' \
-d 'spider_errors=true' \
-d 'file_name={{TasksID}}'
Reference usage
references/tool-params.jsonstores the full saved parameter catalog for every available tool in this scraper family.scripts/build-dataify-request.pyis the portable implementation and should be preferred.scripts/build-dataify-request.ps1mirrors the same behavior for Windows users.- If a parameter has no options, the user must provide the value.
- Do not assume
spider_parametersalways contains exactly one object. Multi-value tools may require multiple objects zipped by index. - Use the saved
url_exampleonly as a reference example. Do not assume the user wants the example values unless they explicitly confirm them.
Default completion behavior
The default deliverable is the collected result, not only a task_id.
- Submit the Builder task once and capture its
task_id. - Immediately continue with
$dataify-task-operationsand monitor the same task ID.- Use the default 600-second wait for ordinary collections.
- Use
--timeout 1800for media downloads or clearly high-volume, multi-page, or multi-input collections.
- When the task succeeds, download and return the final JSON result. Summarize large payloads while preserving access to the raw result.
- If monitoring times out or is interrupted, return the task ID and a resume command. Do not resubmit the paid task.
- Stop after submission only when the user explicitly asks for submission only, a task ID, or
--no-waitbehavior.
Parameter interaction policy
- For a clear, low-risk, read-only, and low-cost request, apply safe defaults and execute immediately. A short execution summary is optional; do not pause for confirmation.
- Ask only for a missing required input, a material ambiguity, a high-volume or multi-page scope, a media download, a choice that materially changes credit usage, an irreversible action, or an explicit user request to review parameters.
- When confirmation is required, show only user-facing values that affect the target, scope, output, or cost. Prefer one concise sentence; use a compact table only when three or more consequential values are easier to compare.
- Never show fixed fields, empty optional fields, unchanged defaults, credentials, or internal implementation parameters such as engine selectors, response-format flags, offsets, spider IDs, and file-name templates.
- Keep advanced filters hidden unless the user asks for them or they are needed to resolve ambiguity. Never substitute documentation example values for missing required user input.
- After returning results, offer relevant refinements instead of forcing all optional decisions before the first result.
Account CTA policy
- Show a prominent Dataify account CTA only when the API token is missing, rejected/invalid, or the account has insufficient credits.
- For a missing token, offer https://dashboard.dataify.com/login?utm_source=skill and state: New accounts get 50 free credits, enough for about 6,000 trial results, valid for 7 days, and only successful requests are billed. Never ask the user to paste the token into chat.
- Detect the current operating system and shell. Show only the matching session-scoped setup command first (
exportfor macOS/Linux shells,$env:for Windows PowerShell, orsetfor Windows Command Prompt). Show other platforms or persistent setup only when detection is ambiguous or the user asks. - After the user says the token is configured, verify only whether
DATAIFY_API_TOKENis present; never print its value. If verification succeeds, continue the original task without asking the user to repeat it. - Explain that persistent shell changes may require a new terminal or restarting the agent application. Do not recommend a project
.envunless the execution path explicitly loads it, and ensure.envis ignored by version control. - For an invalid token, direct the user to API-key management without implying that a new registration is required. For insufficient credits, direct the user to balance or recharge management.
- During normal submission, processing, and successful completion, do not promote registration or the Dashboard. Never expose the token or include it in CTA attribution parameters.
Top skills in this category
Skill Vetter
@spclaudehomeSecurity-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
Github
@steipeteInteract with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Humanizer
@biostartechnologyRemove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Free Ride - Unlimited free AI
@shaivpidadiManages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
Elite Longterm Memory
@nextfrontierbuildsUltimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.