Tencent Maps Business Scraper for China
Pricing
from $1.17 / 1,000 results
Tencent Maps Business Scraper for China
Search available public Tencent Maps results by keyword and city and compare observed local listings. Output: Business identifiers, addresses, coordinates and source URLs when accessible.
Pricing
from $1.17 / 1,000 results
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Developer
Rafael Barreto Haddad
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10
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2 days ago
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Search public Tencent Maps by city and keyword to extract structured local business listings, addresses, coordinates and source URLs, with optional repeat-run market change analysis. Returns structured, machine-readable results for repeatable research, monitoring, automation, Apify.
Business use and first result
For: China location and retail research.
Why run it: Search available public Tencent Maps results by keyword and city and compare observed local listings.
What to inspect: Business identifiers, addresses, coordinates and source URLs when accessible.
First run: use the documented sample input below, inspect the Dataset rows and source links, then reuse the saved output for a later comparison only where snapshots are supported. Confirm the input scope and current Pay Per Event pricing before scheduling ongoing use.
Scope and limitations: Tencent public results and frontend contracts can change; city coverage varies.
Quick start
Start with this working example and replace the target values with your own:
{"keywords": ["咖啡"],"cities": ["深圳"],"maxResults": 20,"trackedBrands": ["星巴克"]}
The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.
Input
keywords— Keywords: Chinese business/category search terms.cities— Cities: Chinese city names.maxResults— Maximum results: Maximum normalized places returned across all city/keyword combinations.trackedBrands— Tracked brands: Optional brand/name fragments used for visibility-share and top-rank monitoring.diagnostic— Diagnostic mode: Emit bounded browser-transport diagnostics only when no POIs can be normalized. Keep off for production runs.
All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.
Output
The Dataset exposes predictable machine-readable output. Representative fields include results.
Pricing
This Actor uses Pay Per Event. The current factory base price is $0.001500 per result event. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.
Use cases
- Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
- Use the Actor from API or schedules for recurring collection, comparison or monitoring.
- Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
- Compare repeat runs when the product supports snapshots or previous-run inputs.
Automation and AI
Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.
Limitations
- Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
- Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
- Analytical outputs depend on the quality and coverage of the supplied or collected source data.
- Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.
Detailed documentation
Search public Tencent Maps by city and keyword to extract structured local business listings, addresses, coordinates and source URLs, with optional repeat-run market change analysis.
Turn public Tencent Maps search results into repeatable local-market intelligence rather than another static POI export.
Why use this Actor
Tencent Maps is useful for understanding local visibility in China, but a one-time place list does not tell you whether a brand is gaining or losing search presence. This Actor is designed for recurring city/category monitoring: capture one search-market snapshot, reuse it in the next run, and receive exact rank changes, tracked-brand visibility share, and deterministic actions.
Key features
- Logged-out public Tencent Maps browser-search extraction with no Tencent API key or account credentials.
- Stable Tencent
uid, business name, address, coordinates, current search-market rank, and available public place fields. - Multi-city and multi-keyword inputs for repeatable market coverage.
- Optional
trackedBrandslist for brand visibility monitoring. trackedBrandSharePctand per-placevisibilityScorefor each city/category market.- Reusable
previousSnapshotinput keyed by Tencentuid + city + keyword. - Exact
previousRankandrankDeltacalculations between runs. - Deterministic
NEW_LISTING,RANK_GAIN,RANK_LOSS,DEFEND_TOP3, andMONITORactions. - Fails closed when the public browser transport produces no real POIs. Diagnostic placeholders are never treated as production results.
Output
Each dataset row includes uid, name, address, city, keyword, latitude/longitude, available rating/review/phone fields, marketRank, previousRank, rankDelta, isTrackedBrand, trackedBrandSharePct, visibilityScore, agentAction, source surface, and timestamp.
Example workflow
Run keywords: ["咖啡"], cities: ["深圳"], and trackedBrands: ["星巴克", "瑞幸"] to capture the current coffee-search market. Store those rows. On the next scheduled run, pass them as previousSnapshot. A Starbucks location moving from rank 8 to rank 3 receives rankDelta: 5 and RANK_GAIN; a tracked brand holding a top-three position can receive DEFEND_TOP3.
Use cases
Use it for China local SEO, retail-network monitoring, restaurant and hotel market mapping, competitor visibility tracking, branch expansion research, franchise territory review, category landscaping, lead discovery, EV-charging network intelligence, pharmacy coverage, shopping-center monitoring, and recurring brand-share briefs.
Pricing
The product uses one primary pay-per-result event: one normalized Tencent Maps business-intelligence row. The factory target is USD 0.0015 per result before canonical plan-tier pricing adjustments. Final release pricing remains governed by the factory's pricing and margin gates.
Inputs
keywords: one or more Chinese business/category queries.cities: one or more Chinese city names.maxResults: maximum normalized rows returned across the run.trackedBrands: optional name fragments used for brand-share and top-rank monitoring.previousSnapshot: optional prior output rows for exact rank movement.diagnostic: troubleshooting-only switch; keep disabled for production workflows.
Competitive positioning
A mature Tencent Maps Actor already exists for rich POI/deep-detail extraction. This product deliberately does not claim superiority by merely returning the same fields. Its differentiation is the recurring intelligence layer: exact prior-snapshot search-rank movement plus tracked-brand visibility/share scoring and deterministic actions in the same run.
Limitations
Tencent Maps frontend and network contracts can change. Search results represent the current public ranked search surface and are not intended to represent an exhaustive city census. Deep reviews, photos, mini-program data, and other detail-heavy surfaces are intentionally outside the present parity scope. The Actor does not bypass login, CAPTCHA, private sessions, or restricted APIs.
Technical approach
The Actor launches Chromium on Apify, opens the public map.qq.com interface, submits the same logged-out POI search a visitor can perform, and normalizes real public search responses. It does not require private Tencent cookies or an API key. The Actor throws on zero real POIs rather than converting a transport failure into a successful-looking dataset.
Data ethics
Use this Actor for legitimate public-business research and monitoring. Users remain responsible for applicable law, platform terms, rate discipline, and appropriate downstream use of local-business data.